From 2 to 4 February 2026,the 58th edition of the show will bring together more than 1,100 exhibitors from 33 countries at Paris–Le Bourget Exhibition Centre.As a true sourcing platform,the event stands out for its d...From 2 to 4 February 2026,the 58th edition of the show will bring together more than 1,100 exhibitors from 33 countries at Paris–Le Bourget Exhibition Centre.As a true sourcing platform,the event stands out for its diversity,clear structure and operational efficiency,giving international buyers direct access to an offer tailored to their needs.展开更多
CB chondrite is a class of meteorite rich in metal composition,and its characteristics are obviously different from other chondrite groups.These meteorites are distinguished by their content of up to 60% to 70%FeNi me...CB chondrite is a class of meteorite rich in metal composition,and its characteristics are obviously different from other chondrite groups.These meteorites are distinguished by their content of up to 60% to 70%FeNi metals and sulfides,in addition to their extreme lack of volatile and moderately volatile elements,less refractory inclusions,and almost no fine-grained matrix.Sierra Gorda 013(SG013)is a metal-rich chondritic meteorite of the CBa type.It has two different lithologies within SG 013:Lithology 1and Lithology 2.Lithology 1 is an anomalous CBa chondrite containing chromite-pyroxene complex assemblage,whereas Lithology 2 is featured by recrystallization with small chondrules and contains much less iron nickel metal than Lithology 1.Although the two lithologies have essentially the same oxygen isotope composition,their structures are different from each other,suggesting that they probably underwent distinct formation and evolution processes from common precursors.In this study,the mineralogy of SG013 chondrites is studied by means of petrographic observation,semi-quantitative analysis of chemical composition,fabric identification of minerals and integrated mineral phase analysis,while studying the mineralogy of SG 013,and the fabric characteristics of SG 013 are studied in detail.Different from previous studies,here we find that Lithology 1 of SG 013 contains non-porphyritic chondrules and metallic silicate globules,while Lithology 2 not only contains nonporphyritic chondrules and metallic-silicate globules,but also porphyritic chondrules.In this thesis,Electron backscatter diffraction(EBSD)analysis of magnesium olivine in metal-silicate globules and porphyritic chondrules in L2 of SG 013 shows that some magnesium olivine form under conditions of lower temperature and faster strain rate during uniaxial compression,where deformation of the olivine is dominated by dislocation glide.However,at higher temperatures and slower strain rates,the fabric of B-axis([100])is concentrated,indicating that the porphyritic chondrules may be dominated by the compaction of olivine particles,leading to dynamic recrystallization in the peripheral region or outer layer of the magnesium olivine crystal.New grains formed by dynamic recrystallization occur at the edges of residual grains and,their orientation is controlled by stress.It is found that the formation position of magnesium olivine in different chondrules of SG 013 from the inside out,with the gradual reduction of stress and the gradual increase of temperature,these local physicochemical changes reveal the complex thermal history and dynamic processes that chondrules undergo during their formation and evolution.展开更多
Gas sensors are valuable tools for human applications,and extensive research has been conducted in this field.However,practical implementation has yet to be fully realized.In response,efforts have been made to explore...Gas sensors are valuable tools for human applications,and extensive research has been conducted in this field.However,practical implementation has yet to be fully realized.In response,efforts have been made to explore metal-organic frameworks(MOFs),a novel class of porous materials,as potential solutions.MOFs exhibit exceptional porosity and highly tunable chemical compositions and structures,giving rise to a wide range of unique physical and chemical properties.Significant progress has been achieved in developing MOF-based gas sensors,improving sensing performance for various gases.This review aims to provide a comprehensive understanding of MOF-based gas sensors,even for readers unfamiliar with MOFs and gas sensors.It covers the working principles of these sensors,fundamental concepts of MOFs,strategies for tuning MOF properties,fabrication techniques for MOF films,and recent studies on MOF and MOF-derivative gas sensors.Finally,current challenges,overlooked aspects,and future directions for fully exploiting the potential of MOFs in gas sensor development are discussed.展开更多
Fabric defect detection plays a vital role in ensuring textile quality.However,traditional manual inspection methods are often inefficient and inaccurate.To overcome these limitations,we propose FD-YOLO,an enhanced li...Fabric defect detection plays a vital role in ensuring textile quality.However,traditional manual inspection methods are often inefficient and inaccurate.To overcome these limitations,we propose FD-YOLO,an enhanced lightweight detection model based on the YOLOv11n framework.The proposed model introduces the Bi-level Routing Attention(BRAttention)mechanism to enhance defect feature extraction,enabling more detailed feature representation.It proposes Deep Progressive Cross-Scale Fusion Neck(DPCSFNeck)to better capture smallscale defects and incorporates a Multi-Scale Dilated Residual(MSDR)module to strengthen multi-scale feature representation.Furthermore,a Shared Detail-Enhanced Lightweight Head(SDELHead)is employed to reduce the risk of gradient explosion during training.Experimental results demonstrate that FD-YOLO achieves superior detection accuracy and Lightweight performance compared to the baseline YOLOv11n.展开更多
The accretion of the Panama-ChocóBlock to the South American Plate partially drove the geological setting of the northern Andes.This event occurred in different collisional stages that are recorded in Oligocene-m...The accretion of the Panama-ChocóBlock to the South American Plate partially drove the geological setting of the northern Andes.This event occurred in different collisional stages that are recorded in Oligocene-middle Miocene deformed rocks of the inter-Andean valley between the Western and Central Cordilleras of Colombia.However,uncertainty remains about the age of the latest accretionary phases of the Panama-ChocóBlock.Poorly studied late Miocene volcanic rocks within the northern inter-Andean valley may provide key information to constrain the temporality of that final collision.Here,we study the deformational features of the~12-6 Ma extrusive rocks of the Combia Volcanic Province located in the northwestern Andes(Colombia).We present anisotropy of magnetic susceptibility(AMS)data for pyroclastic and volcanic rocks within the AmagáBasin,an inter-Andean depression with Oligocene-middle Miocene sedimentary rocks that recorded NW-SE compression and NE-SW simple shear caused by the Panama-ChocóBlock collision.We identified that the magnetic fabrics of the extrusive rocks of the Combia Volcanic Province reveal flow directions that indicate the occurrence of ancient volcanoes in the central axis of the AmagáBasin.Some of these fabrics do not contain any deformational features,whereas others record the same structural regime as the Oligocene-middle Miocene sedimentary rocks.We infer that variations in the intensity of the deformation promoted late Miocene local fault reactivations that,in contrast to the Oligocene-middle Miocene deformational events,did not affect the entire AmagáBasin.Age differences among the studied sections can also explain the different deformational patterns identified in the basin.Both interpretations suggest that the most significant collisional events of the Panama-ChocóBlock occurred in the Oligocene-middle Miocene,whereas the formation of the Combia Volcanic Province may have either followed or coincided with the latest stages of the accretion.展开更多
Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands strin...Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands stringent inert conditions to mitigate environmental degradation.However,achieving efficient and stable PSC fabrication in ambient air is crucial for their widespread commercialization,as it significantly reduces manufacturing costs,simplifies process flow,and enables scalable roll-to-roll and printing techniques.The main challenges hindering ambient processing include moisture-induced degradation,oxygen-related oxidation,and humidity-driven variations in crystallization kinetics,which often lead to reduced film quality,defective interfaces,and limited device performance.Recent advancements in ambient-air processing of PSCs present a promising pathway toward scalable and eco-friendly manufacturing,though challenges such as moisture sensitivity,oxygeninduced degradation,and crystallization control remain.This review examines ambient-air effects on perovskite formation,device performance,and stability,alongside strategies for improvement via compositional engineering,solvent optimization,and novel deposition methods.Furthermore,we discuss the progress in lab-scale and large-scale ambient-air fabrication methods,emphasizing their potential for industrial translation.Finally,we outline future research directions to enhance the efficiency,stability,and commercial viability of air-processed PSCs,underscoring their critical role in sustainable energy development.展开更多
With superior structural integrity and design flexibility,3D woven fabrics exhibit unique potential in ballistic protection applications.However,the anisotropic yarn distribution renders traditional 3D woven fabrics s...With superior structural integrity and design flexibility,3D woven fabrics exhibit unique potential in ballistic protection applications.However,the anisotropic yarn distribution renders traditional 3D woven fabrics susceptible to fixed boundaries,which is not conducive to practical applications.Inspired by the motion characteristics of yarn structures,this study investigates a hybrid 3D woven fabric structure that incorporates interlayer warp yarns and normal yarns.Bending stiffness tests,yarn pull-out tests,and ballistic tests are conducted and compared with single-binding yarn structures.Utilizing a validated meso-finite element model,the dynamic deformation and energy absorption mechanisms of the hybrid configuration under impact are elucidated.The results demonstrate that synergistic interactions among various binding yarn structures maintain fabric stability in the absence of boundaries.Normal yarns inhibit horizontal slippage of warp yarns,while multi-layer warp yarns enhance resistance to weft yarn pull-out,thereby facilitating greater yarn participation in direct energy absorption.The hybrid structure exhibited the highest specific energy absorption(SEA)across different boundary conditions,with an average SEA increase of approximately 27%.These insights will facilitate the design of novel hybrid-structured 3D woven fabrics and inform the customization of lightweight protective materials.展开更多
Aluminum scandium nitride(AlScN),an emergingⅢ-nitride semiconductor material,has attracted significant atten-tion in recent years due to its exceptional piezoelectric properties,high thermal stability,tunable bandgap...Aluminum scandium nitride(AlScN),an emergingⅢ-nitride semiconductor material,has attracted significant atten-tion in recent years due to its exceptional piezoelectric properties,high thermal stability,tunable bandgap,and excellent com-patibility with micro/nano fabrication.This paper systematically reviews the crystal structure,fundamental properties,and prop-erty modulation mechanisms of AlScN.It also summarizes recent progress in micro/nano fabrication technologies,including deposition,etching,and device integration.Furthermore,the applications of AlScN in diverse fields such as micro-electrome-chanical systems(MEMS),RF communications,energy conversion,optoelectronics and sensors are discussed.Finally,current challenges and promising future research directions for AlScN are outlined.展开更多
The application of deep learning in fabric defect detection has become increasingly widespread.To address false positives and false negatives in fabric roll seam detection,and to improve automation efficiency and prod...The application of deep learning in fabric defect detection has become increasingly widespread.To address false positives and false negatives in fabric roll seam detection,and to improve automation efficiency and product quality,we propose the Multi-scale Context DeepLabV3+(MSC-DeepLabV3+),a semantic segmentation network designed for fabric roll seam detection,based on DeepLabV3+.The model improvements include enhancing the backbone performance through optimization of the UIB-MobileNetV2 network;designing the Dynamic Atrous and Sliding-window Fusion(DASF)module to improve adaptability to multi-scale seam structures with dynamic dilation rates and a sliding-window mechanism;and utilizing the Progressive Low-level Feature Fusion(PLFF)module to progressively restore seam boundary details via shallow feature fusion.Additionally,an enhanced 3-SE attention mechanism is employed,replacing the direct concatenation operation.Experimental results show thatMSCDeepLabV3+outperforms classical and recent segmentation models.Compared to DeepLabV3+with an Xception backbone,MSC-DeepLabV3+achieves a mean intersection over union(mIoU)of 92.30%and the boundary Fscore(BF)of 92.54%,representing improvements of 3.04%and 3.14%,respectively.Moreover,the model complexity is significantly reduced,with the model parameters(params)decreasing to 3.44M and Frames Per Second(FPS)increasing from 101 to 273,demonstrating its potential for deployment in resource-constrained industrial scenarios.展开更多
The strength-ductility synergy in heterogeneous materials offers significant advantages,though their scalable and controlled fabrication remains challenging.This study introduces an in situ fabrication strategy for he...The strength-ductility synergy in heterogeneous materials offers significant advantages,though their scalable and controlled fabrication remains challenging.This study introduces an in situ fabrication strategy for heterogeneous lamellar titanium(HLT)alloy via laser powder bed fusion of a powder mixture consisting of Ti6Al4V(TC4)and 3 wt%Fe.By periodically varying the scanning velocity between layers,a heterogeneous lamellar microstructure is achieved due to the unique Fe distribution originating from the various volumetric energy densities(VEDs).Consequently,the HLT achieves high yield strength(1036 MPa)and ultimate tensile strength(1419 MPa)without compromising uniform elongation(UE),surpassing most TC4 alloys.The high strength may be attributed to precipitation strengthening originating from the nano-sizedαandωprecipitates,while the high UE and work hardening arise from the strain-induced martensite(SIM)and strong hetero-deformation induced(HDI)stress.The denser dual-phase interfaces and smaller grains in the low VED layers contribute to the higher sensitivity to the SIM.A strain gradient between soft and hard layers evolves during loading,and it further enhances the HDI strengthening and SIM behavior.Through this work,the in situ fabrication method and the deformation mechanism of lamellar heterostructure could offer valuable reference for the optimization and application of heterogeneous materials.展开更多
The key challenge in the preparation of perovskite solar cells is to enhance the reproducibility of PSC manufacturing,particularly by better controlling multiple high-dimensional process parameters.This study proposes...The key challenge in the preparation of perovskite solar cells is to enhance the reproducibility of PSC manufacturing,particularly by better controlling multiple high-dimensional process parameters.This study proposes a machine learning(ML)approach to efficiently predict and analyze perovskite film fabrication processes.By evaluating five classic ML algorithms on 130 experimental data sets from blade-coating parameters,the Random Forest(RF)model was identified as the most effective,enabling rapid prediction of over 100,000 parameter sets in just 10 min-equivalent to 3 years of manual experimentation.The RF model demonstrated strong predictive accuracy,with an R^(2) close to 0.8.This approach led to the identification of optimal process parameter combinations,significantly improving the reproducibility of PSCs and reducing performance variance by approximately threefold,thereby advancing the development of scalable manufacturing processes.展开更多
This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using pro...This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using prohibited materials in the manufacture of these fabrics, and the use of unknown dyes has proven that some of them cause diseases to humans, especially children, that cause cancerous diseases. With the study sample consisting of (7), the study results indicate the presence of toxic formaldehyde in all sample dyes obtained from discount markets and online shopping.展开更多
Tie‑dye is a traditional craft that has been passed down through generations.It is an ancient art form that involves tying and dyeing fabric to create beautiful patterns.This craft is not only a way to make clothes an...Tie‑dye is a traditional craft that has been passed down through generations.It is an ancient art form that involves tying and dyeing fabric to create beautiful patterns.This craft is not only a way to make clothes and textiles more colorful but also a way to express creativity and culture.展开更多
When the 2025 Intertextile Apparel Fabrics Exhibition(Autumn/Winter)was held in Shanghai,more than 3,700 top exhibitors from 26 countries and regions around the world participated.From September 2nd to 4th,the 2025&qu...When the 2025 Intertextile Apparel Fabrics Exhibition(Autumn/Winter)was held in Shanghai,more than 3,700 top exhibitors from 26 countries and regions around the world participated.From September 2nd to 4th,the 2025"Keqiao Selected"exhibition shone brightly at the event,showcasing the high-end quality of its products and the innovative strength of its regional brands.展开更多
The Lenzing Group,a leading supplier of regenerated cellulosic fibers for the textile and nonwovens industries,has unveiled innov ative fabric blends that address one of fashion's most persistent circularity chall...The Lenzing Group,a leading supplier of regenerated cellulosic fibers for the textile and nonwovens industries,has unveiled innov ative fabric blends that address one of fashion's most persistent circularity challenges:maintaining premium quality while incorporating significant recycled dontent.Through strategic manufacturing partnerships,Lenzing has successfully demonstrated how its responsibly sourlced and resource-efficiently produced TENCEL Im Lyocell fibers transform the unpredictable quality of mechanically recycled natural fibers into consistent,commercially-viable fabrics.展开更多
Inspired by the aquatic-adapted pit structures of the Cybister beetles that enable high-speed swimming,this study employs warp-knitted technology to fabricate drag-reduction swimwear textiles.Eight distinct fabric mor...Inspired by the aquatic-adapted pit structures of the Cybister beetles that enable high-speed swimming,this study employs warp-knitted technology to fabricate drag-reduction swimwear textiles.Eight distinct fabric morphologies were produced,and a self-developed high-precision dynamic drag measurement device was used to systematically analyze the mechanisms underlying the drag-reduction performance of these biomimetic pit structures.The device incorporates a servomotor,ball screw linkage,and high-precision tension sensor,enabling real-time and accurate detection of fluid drag forces.It effectively overcomes the limitations of traditional indirect measurement methods,including dynamic response lag and insufficient accuracy.Experimental results demonstrate that the hydrophobic small-pit fabric(4^(#))achieves an 84% drag reduction at 400 mm/s,outperforming the control sample(warp-knitted fabric 7^(#)).This significant reduction is attributed to the Cassie state established on the hydrophobic surface,which substantially decreases viscous drag and the microvortices generated by the pit structures,which delay flow separation and effectively minimize pressure drag.Furthermore,small-pit fabrics demonstrate a drag reduction rate 26% to 50% higher than that of large-pit structures,highlighting the critical importance of matching the pit scale to the thickness of the near-wall viscous sublayer for optimal drag reduction.This study establishes a theoretical foundation for the biomimetic design of high-performance drag-reduction swimsuits.The developed drag-measuring device also provides a standardized experimental platform for hydrodynamic studies of flexible materials,supporting a shift from empirical design methodologies to theory-driven approaches in drag-reduction technology and exhibiting significant potential for future advancements.展开更多
In JBL's sample room in Haining,China,a piece of velvet fabric glimmers softly under the lights.This light-blocking fabric,crafted with thermally bonded TPU technology,is quietly becoming a hot item of the Europea...In JBL's sample room in Haining,China,a piece of velvet fabric glimmers softly under the lights.This light-blocking fabric,crafted with thermally bonded TPU technology,is quietly becoming a hot item of the European home furnishing market.As global textile supply chains reshape,this velvet fabric specialist is exploring the course of Chinese textiles'global expansion with its unique products.展开更多
文摘From 2 to 4 February 2026,the 58th edition of the show will bring together more than 1,100 exhibitors from 33 countries at Paris–Le Bourget Exhibition Centre.As a true sourcing platform,the event stands out for its diversity,clear structure and operational efficiency,giving international buyers direct access to an offer tailored to their needs.
基金Chinese Academy of Science,XDB 41000000,Chunhui Li。
文摘CB chondrite is a class of meteorite rich in metal composition,and its characteristics are obviously different from other chondrite groups.These meteorites are distinguished by their content of up to 60% to 70%FeNi metals and sulfides,in addition to their extreme lack of volatile and moderately volatile elements,less refractory inclusions,and almost no fine-grained matrix.Sierra Gorda 013(SG013)is a metal-rich chondritic meteorite of the CBa type.It has two different lithologies within SG 013:Lithology 1and Lithology 2.Lithology 1 is an anomalous CBa chondrite containing chromite-pyroxene complex assemblage,whereas Lithology 2 is featured by recrystallization with small chondrules and contains much less iron nickel metal than Lithology 1.Although the two lithologies have essentially the same oxygen isotope composition,their structures are different from each other,suggesting that they probably underwent distinct formation and evolution processes from common precursors.In this study,the mineralogy of SG013 chondrites is studied by means of petrographic observation,semi-quantitative analysis of chemical composition,fabric identification of minerals and integrated mineral phase analysis,while studying the mineralogy of SG 013,and the fabric characteristics of SG 013 are studied in detail.Different from previous studies,here we find that Lithology 1 of SG 013 contains non-porphyritic chondrules and metallic silicate globules,while Lithology 2 not only contains nonporphyritic chondrules and metallic-silicate globules,but also porphyritic chondrules.In this thesis,Electron backscatter diffraction(EBSD)analysis of magnesium olivine in metal-silicate globules and porphyritic chondrules in L2 of SG 013 shows that some magnesium olivine form under conditions of lower temperature and faster strain rate during uniaxial compression,where deformation of the olivine is dominated by dislocation glide.However,at higher temperatures and slower strain rates,the fabric of B-axis([100])is concentrated,indicating that the porphyritic chondrules may be dominated by the compaction of olivine particles,leading to dynamic recrystallization in the peripheral region or outer layer of the magnesium olivine crystal.New grains formed by dynamic recrystallization occur at the edges of residual grains and,their orientation is controlled by stress.It is found that the formation position of magnesium olivine in different chondrules of SG 013 from the inside out,with the gradual reduction of stress and the gradual increase of temperature,these local physicochemical changes reveal the complex thermal history and dynamic processes that chondrules undergo during their formation and evolution.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(RS-2024-00333650)supported by basic science research program through the National Research Foundation of Korea funded by the Ministry of Education(NRF-2019R1A6A1A11055660)+1 种基金supported by the Technology Innovation Program(“20013621”,Center for Super Critical Material Industrial Technology)funded By the Ministry of Trade,Industry&Energy(MOTIE,Korea)supported by Strategic Networking&Development Program funded by the Ministry of Science and ICT through the National Research Foundation of Korea(RS-2023-00268523)。
文摘Gas sensors are valuable tools for human applications,and extensive research has been conducted in this field.However,practical implementation has yet to be fully realized.In response,efforts have been made to explore metal-organic frameworks(MOFs),a novel class of porous materials,as potential solutions.MOFs exhibit exceptional porosity and highly tunable chemical compositions and structures,giving rise to a wide range of unique physical and chemical properties.Significant progress has been achieved in developing MOF-based gas sensors,improving sensing performance for various gases.This review aims to provide a comprehensive understanding of MOF-based gas sensors,even for readers unfamiliar with MOFs and gas sensors.It covers the working principles of these sensors,fundamental concepts of MOFs,strategies for tuning MOF properties,fabrication techniques for MOF films,and recent studies on MOF and MOF-derivative gas sensors.Finally,current challenges,overlooked aspects,and future directions for fully exploiting the potential of MOFs in gas sensor development are discussed.
基金financially supported by the Fujian Provincial Department of Science and Technology,the Collaborative Innovation Platform Project for Key Technologies of Smart Warehousing and Logistics Systems in the Fuzhou-Xiamen-Quanzhou National Independent Innovation Demonstration Zone(No.2025E3024).
文摘Fabric defect detection plays a vital role in ensuring textile quality.However,traditional manual inspection methods are often inefficient and inaccurate.To overcome these limitations,we propose FD-YOLO,an enhanced lightweight detection model based on the YOLOv11n framework.The proposed model introduces the Bi-level Routing Attention(BRAttention)mechanism to enhance defect feature extraction,enabling more detailed feature representation.It proposes Deep Progressive Cross-Scale Fusion Neck(DPCSFNeck)to better capture smallscale defects and incorporates a Multi-Scale Dilated Residual(MSDR)module to strengthen multi-scale feature representation.Furthermore,a Shared Detail-Enhanced Lightweight Head(SDELHead)is employed to reduce the risk of gradient explosion during training.Experimental results demonstrate that FD-YOLO achieves superior detection accuracy and Lightweight performance compared to the baseline YOLOv11n.
基金supported financially by the National Natural Science Foundation of China (Grants W2433104 to V.A.P. and42225402 to J.L.)the China Postdoctoral Science Foundation(Grant 2024M753205 to V.A.P.)+4 种基金the Institute of Geology and Geophysics of the Chinese Academy of Sciences (International Fellowship for Postdoctoral Researchers, Grant 2025PD02 to V.A.P.)an association between ECOS-NORD (France)Colciencias/Icetex (Colombia)(Grant C12U01 to M.I.M.)a junior fellowship scheme of Colciencias (Colombia)(Grant 706-2015 to V.A.P.)supported the undergraduate final project of A.T
文摘The accretion of the Panama-ChocóBlock to the South American Plate partially drove the geological setting of the northern Andes.This event occurred in different collisional stages that are recorded in Oligocene-middle Miocene deformed rocks of the inter-Andean valley between the Western and Central Cordilleras of Colombia.However,uncertainty remains about the age of the latest accretionary phases of the Panama-ChocóBlock.Poorly studied late Miocene volcanic rocks within the northern inter-Andean valley may provide key information to constrain the temporality of that final collision.Here,we study the deformational features of the~12-6 Ma extrusive rocks of the Combia Volcanic Province located in the northwestern Andes(Colombia).We present anisotropy of magnetic susceptibility(AMS)data for pyroclastic and volcanic rocks within the AmagáBasin,an inter-Andean depression with Oligocene-middle Miocene sedimentary rocks that recorded NW-SE compression and NE-SW simple shear caused by the Panama-ChocóBlock collision.We identified that the magnetic fabrics of the extrusive rocks of the Combia Volcanic Province reveal flow directions that indicate the occurrence of ancient volcanoes in the central axis of the AmagáBasin.Some of these fabrics do not contain any deformational features,whereas others record the same structural regime as the Oligocene-middle Miocene sedimentary rocks.We infer that variations in the intensity of the deformation promoted late Miocene local fault reactivations that,in contrast to the Oligocene-middle Miocene deformational events,did not affect the entire AmagáBasin.Age differences among the studied sections can also explain the different deformational patterns identified in the basin.Both interpretations suggest that the most significant collisional events of the Panama-ChocóBlock occurred in the Oligocene-middle Miocene,whereas the formation of the Combia Volcanic Province may have either followed or coincided with the latest stages of the accretion.
基金supported by the Start-up Fund from Shanghai Jiao Tong University,Shanghai Magnolia Tatent Plan-Pujiang Project(Grant No.24PJA041)the National Natural Science Foundation of China(NSFC,Grant Nos.22025505,22220102002).
文摘Perovskite solar cells(PSCs)have emerged as a revolutionary photovoltaic technology due to their exceptional optoelectronic properties and low-cost solution processability,yet their fabrication typically demands stringent inert conditions to mitigate environmental degradation.However,achieving efficient and stable PSC fabrication in ambient air is crucial for their widespread commercialization,as it significantly reduces manufacturing costs,simplifies process flow,and enables scalable roll-to-roll and printing techniques.The main challenges hindering ambient processing include moisture-induced degradation,oxygen-related oxidation,and humidity-driven variations in crystallization kinetics,which often lead to reduced film quality,defective interfaces,and limited device performance.Recent advancements in ambient-air processing of PSCs present a promising pathway toward scalable and eco-friendly manufacturing,though challenges such as moisture sensitivity,oxygeninduced degradation,and crystallization control remain.This review examines ambient-air effects on perovskite formation,device performance,and stability,alongside strategies for improvement via compositional engineering,solvent optimization,and novel deposition methods.Furthermore,we discuss the progress in lab-scale and large-scale ambient-air fabrication methods,emphasizing their potential for industrial translation.Finally,we outline future research directions to enhance the efficiency,stability,and commercial viability of air-processed PSCs,underscoring their critical role in sustainable energy development.
基金supports from National Key R&D Program for Young Scientists of China(No.2022YFC3080900)the opening project of State Key Laboratory of Explosion Science and Safety Protection,Beijing Institute of Technology(No.KFJJ25-25M).
文摘With superior structural integrity and design flexibility,3D woven fabrics exhibit unique potential in ballistic protection applications.However,the anisotropic yarn distribution renders traditional 3D woven fabrics susceptible to fixed boundaries,which is not conducive to practical applications.Inspired by the motion characteristics of yarn structures,this study investigates a hybrid 3D woven fabric structure that incorporates interlayer warp yarns and normal yarns.Bending stiffness tests,yarn pull-out tests,and ballistic tests are conducted and compared with single-binding yarn structures.Utilizing a validated meso-finite element model,the dynamic deformation and energy absorption mechanisms of the hybrid configuration under impact are elucidated.The results demonstrate that synergistic interactions among various binding yarn structures maintain fabric stability in the absence of boundaries.Normal yarns inhibit horizontal slippage of warp yarns,while multi-layer warp yarns enhance resistance to weft yarn pull-out,thereby facilitating greater yarn participation in direct energy absorption.The hybrid structure exhibited the highest specific energy absorption(SEA)across different boundary conditions,with an average SEA increase of approximately 27%.These insights will facilitate the design of novel hybrid-structured 3D woven fabrics and inform the customization of lightweight protective materials.
基金supported by the National Natural Science Foundation of China(General Program,No.52473331).
文摘Aluminum scandium nitride(AlScN),an emergingⅢ-nitride semiconductor material,has attracted significant atten-tion in recent years due to its exceptional piezoelectric properties,high thermal stability,tunable bandgap,and excellent com-patibility with micro/nano fabrication.This paper systematically reviews the crystal structure,fundamental properties,and prop-erty modulation mechanisms of AlScN.It also summarizes recent progress in micro/nano fabrication technologies,including deposition,etching,and device integration.Furthermore,the applications of AlScN in diverse fields such as micro-electrome-chanical systems(MEMS),RF communications,energy conversion,optoelectronics and sensors are discussed.Finally,current challenges and promising future research directions for AlScN are outlined.
文摘The application of deep learning in fabric defect detection has become increasingly widespread.To address false positives and false negatives in fabric roll seam detection,and to improve automation efficiency and product quality,we propose the Multi-scale Context DeepLabV3+(MSC-DeepLabV3+),a semantic segmentation network designed for fabric roll seam detection,based on DeepLabV3+.The model improvements include enhancing the backbone performance through optimization of the UIB-MobileNetV2 network;designing the Dynamic Atrous and Sliding-window Fusion(DASF)module to improve adaptability to multi-scale seam structures with dynamic dilation rates and a sliding-window mechanism;and utilizing the Progressive Low-level Feature Fusion(PLFF)module to progressively restore seam boundary details via shallow feature fusion.Additionally,an enhanced 3-SE attention mechanism is employed,replacing the direct concatenation operation.Experimental results show thatMSCDeepLabV3+outperforms classical and recent segmentation models.Compared to DeepLabV3+with an Xception backbone,MSC-DeepLabV3+achieves a mean intersection over union(mIoU)of 92.30%and the boundary Fscore(BF)of 92.54%,representing improvements of 3.04%and 3.14%,respectively.Moreover,the model complexity is significantly reduced,with the model parameters(params)decreasing to 3.44M and Frames Per Second(FPS)increasing from 101 to 273,demonstrating its potential for deployment in resource-constrained industrial scenarios.
基金financially supported by the National Natural Science Foundation of China(No.52375347)Shanghai Pujiang Programme(No.8003PJD023)Natural Science Foundation of Ningbo(Grant No.2023J008)。
文摘The strength-ductility synergy in heterogeneous materials offers significant advantages,though their scalable and controlled fabrication remains challenging.This study introduces an in situ fabrication strategy for heterogeneous lamellar titanium(HLT)alloy via laser powder bed fusion of a powder mixture consisting of Ti6Al4V(TC4)and 3 wt%Fe.By periodically varying the scanning velocity between layers,a heterogeneous lamellar microstructure is achieved due to the unique Fe distribution originating from the various volumetric energy densities(VEDs).Consequently,the HLT achieves high yield strength(1036 MPa)and ultimate tensile strength(1419 MPa)without compromising uniform elongation(UE),surpassing most TC4 alloys.The high strength may be attributed to precipitation strengthening originating from the nano-sizedαandωprecipitates,while the high UE and work hardening arise from the strain-induced martensite(SIM)and strong hetero-deformation induced(HDI)stress.The denser dual-phase interfaces and smaller grains in the low VED layers contribute to the higher sensitivity to the SIM.A strain gradient between soft and hard layers evolves during loading,and it further enhances the HDI strengthening and SIM behavior.Through this work,the in situ fabrication method and the deformation mechanism of lamellar heterostructure could offer valuable reference for the optimization and application of heterogeneous materials.
基金Key Research and Development Program of Hubei Province,China(Grant No.2022BAA096)Zhejiang Provincial Natural Science Foundation of China(This material is based upon work funded by Zhejiang Provincial Natural Science Foundation of China under Grant No.LR25A020002)support of the Center for Materials Analysis and Characterization,Material Characterization Lab,and Nanofabrication Lab at Hubei University。
文摘The key challenge in the preparation of perovskite solar cells is to enhance the reproducibility of PSC manufacturing,particularly by better controlling multiple high-dimensional process parameters.This study proposes a machine learning(ML)approach to efficiently predict and analyze perovskite film fabrication processes.By evaluating five classic ML algorithms on 130 experimental data sets from blade-coating parameters,the Random Forest(RF)model was identified as the most effective,enabling rapid prediction of over 100,000 parameter sets in just 10 min-equivalent to 3 years of manual experimentation.The RF model demonstrated strong predictive accuracy,with an R^(2) close to 0.8.This approach led to the identification of optimal process parameter combinations,significantly improving the reproducibility of PSCs and reducing performance variance by approximately threefold,thereby advancing the development of scalable manufacturing processes.
文摘This research study fabrics to ensure that they are free from carcinogenic dyes. It has been observed that there are poor-quality fabrics and consumers go to buy them without paying attention to the risks of using prohibited materials in the manufacture of these fabrics, and the use of unknown dyes has proven that some of them cause diseases to humans, especially children, that cause cancerous diseases. With the study sample consisting of (7), the study results indicate the presence of toxic formaldehyde in all sample dyes obtained from discount markets and online shopping.
文摘Tie‑dye is a traditional craft that has been passed down through generations.It is an ancient art form that involves tying and dyeing fabric to create beautiful patterns.This craft is not only a way to make clothes and textiles more colorful but also a way to express creativity and culture.
文摘When the 2025 Intertextile Apparel Fabrics Exhibition(Autumn/Winter)was held in Shanghai,more than 3,700 top exhibitors from 26 countries and regions around the world participated.From September 2nd to 4th,the 2025"Keqiao Selected"exhibition shone brightly at the event,showcasing the high-end quality of its products and the innovative strength of its regional brands.
文摘The Lenzing Group,a leading supplier of regenerated cellulosic fibers for the textile and nonwovens industries,has unveiled innov ative fabric blends that address one of fashion's most persistent circularity challenges:maintaining premium quality while incorporating significant recycled dontent.Through strategic manufacturing partnerships,Lenzing has successfully demonstrated how its responsibly sourlced and resource-efficiently produced TENCEL Im Lyocell fibers transform the unpredictable quality of mechanically recycled natural fibers into consistent,commercially-viable fabrics.
基金the financial support from the Fundamental Research Funds for the Central Universities(JUSRP122003)the fellowship of China Postdoctoral Science Foundation(2022TQ0123).
文摘Inspired by the aquatic-adapted pit structures of the Cybister beetles that enable high-speed swimming,this study employs warp-knitted technology to fabricate drag-reduction swimwear textiles.Eight distinct fabric morphologies were produced,and a self-developed high-precision dynamic drag measurement device was used to systematically analyze the mechanisms underlying the drag-reduction performance of these biomimetic pit structures.The device incorporates a servomotor,ball screw linkage,and high-precision tension sensor,enabling real-time and accurate detection of fluid drag forces.It effectively overcomes the limitations of traditional indirect measurement methods,including dynamic response lag and insufficient accuracy.Experimental results demonstrate that the hydrophobic small-pit fabric(4^(#))achieves an 84% drag reduction at 400 mm/s,outperforming the control sample(warp-knitted fabric 7^(#)).This significant reduction is attributed to the Cassie state established on the hydrophobic surface,which substantially decreases viscous drag and the microvortices generated by the pit structures,which delay flow separation and effectively minimize pressure drag.Furthermore,small-pit fabrics demonstrate a drag reduction rate 26% to 50% higher than that of large-pit structures,highlighting the critical importance of matching the pit scale to the thickness of the near-wall viscous sublayer for optimal drag reduction.This study establishes a theoretical foundation for the biomimetic design of high-performance drag-reduction swimsuits.The developed drag-measuring device also provides a standardized experimental platform for hydrodynamic studies of flexible materials,supporting a shift from empirical design methodologies to theory-driven approaches in drag-reduction technology and exhibiting significant potential for future advancements.
文摘In JBL's sample room in Haining,China,a piece of velvet fabric glimmers softly under the lights.This light-blocking fabric,crafted with thermally bonded TPU technology,is quietly becoming a hot item of the European home furnishing market.As global textile supply chains reshape,this velvet fabric specialist is exploring the course of Chinese textiles'global expansion with its unique products.
