ZnO/graphene oxide（ZnO/GO） composite material,in which ZnO nanoparticles were densely coated on the GO nanosheets,was successfully prepared by an improved two-step method and characterized by IR, XRD,TEM,and UV-vis ...ZnO/graphene oxide（ZnO/GO） composite material,in which ZnO nanoparticles were densely coated on the GO nanosheets,was successfully prepared by an improved two-step method and characterized by IR, XRD,TEM,and UV-vis techniques.The improved photocatalytic property of the ZnO/GO composite material,evaluated by the photocatalytic degradation of methyl orange（MO） under UV irradiation,is ascribed to the intimate contact between ZnO and GO,the enhanced adsorption of MO,the quick electron transfer from excited ZnO particles to GO sheets and the activation of MO molecules viaπ-πinteraction between MO and GO.展开更多
The new adhesive material for the construction joints of tunnel lining(named as SZC) was studied based on the structural characteristics of interfaces and the characteristic of bonding construction, and the performanc...The new adhesive material for the construction joints of tunnel lining(named as SZC) was studied based on the structural characteristics of interfaces and the characteristic of bonding construction, and the performance indexes were verified by tests. The experimental results show that the adhesive capability of interface is improved effectively by using SZC material, the properties, such as anti-freezing, erosion-resistance and anti-shrinkage are improved greatly as well as durability.展开更多
The amount of muddy soil generated from various kinds of construction sites is always problematic. It is very difficult to treat muddy soil because of its low strength and high water content. But, the reuse of muddy s...The amount of muddy soil generated from various kinds of construction sites is always problematic. It is very difficult to treat muddy soil because of its low strength and high water content. But, the reuse of muddy soil is necessary to reduce the total amount of industrial wastes. Surplus concrete is also in a similar situation. Coarse and fine aggregates are removed from surplus concrete as an intermediate treatment, however, concrete sludge still remains. The authors propose a reuse method that involves the muddy soil being mixed with concrete sludge as an improvement material. The possibility of the utilization of concrete sludge was investigated through laboratory experiments. As a result, it was found that the unconfined compressive strength of the improved soil mixed with concrete sludge increased as the curing proceeded.展开更多
Given the severe energy and environmental crises,there is a pressing need for the development of high-performance functional materials.Therefore,significant challenges facing current functional materials must be addre...Given the severe energy and environmental crises,there is a pressing need for the development of high-performance functional materials.Therefore,significant challenges facing current functional materials must be addressed,including further improving material performance,resolving complex trade-offs between properties,and achieving multifunctionality for greater energy efficiency while effectively preventing premature failures during functional processes.Traditional materials may exhibit translational periodicity at the lattice level,but their microstructures,such as grains and their characteristics,are often randomly distributed.Recent discoveries indicate that if the microstructure is constructed in an ordered manner,e.g.,grain size gradient,materials can perform distinctively compared to their conventional counterparts,potentially breaking through the trade-offs between various properties and achieving transformative performance[1-3].展开更多
Pretrained universal machine-learning interatomic potentials(MLIPs)have revolutionized computational materials science by enabling rapid atomistic simulations as efficient alternatives to ab initio methods.Fine-tuning...Pretrained universal machine-learning interatomic potentials(MLIPs)have revolutionized computational materials science by enabling rapid atomistic simulations as efficient alternatives to ab initio methods.Fine-tuning pretrained MLIPs offers a practical approach to improving accuracy for materials and properties where predictive performance is insufficient.However,this approach often induces catastrophic forgetting,undermining the generalizability that is a key advantage of pretrained MLIPs.Herein,we propose reEWC,an advanced fine-tuning strategy that integrates Experience Replay and Elastic Weight Consolidation(EWC)to effectively balance forgetting prevention with fine-tuning efficiency.Using Li_(6)PS_(5)Cl(LPSC),a sulfide-based Li solid-state electrolyte,as a fine-tuning target,we show that reEWC significantly improves the accuracy of a pretrained MLIP,resolving well-known issues of potential energy surface softening and overestimated Li diffusivities.Moreover,reEWC preserves the generalizability of the pretrained MLIP and enables knowledge transfer to chemically distinct systems,including other sulfide,oxide,nitride,and halide electrolytes.Compared to Experience Replay and EWC used individually,reEWC delivers clear synergistic benefits,mitigating their respective limitations while maintaining computational efficiency.These results establish reEWC as a robust and effective solution for continual learning in MLIPs,enabling universal models that can advance materials research through large-scale,high-throughput simulations across diverse chemistries.展开更多
基金supported by the Natural Science Foundation of China(No.21174114)the Ministry of Education Plan for Yangtze River Scholar and Innovation Team Development(No.IRT1177)+2 种基金Scientific and Technical Plan Project of Gansu Province(No. 1204GKCA006)the Natural Science Foundation of Gansu Province (No.1010RJZA024)Scientific and Technical Innovation Project of Northwest Normal University(No.nwnu-kjcxgc-03-63)
文摘ZnO/graphene oxide（ZnO/GO） composite material,in which ZnO nanoparticles were densely coated on the GO nanosheets,was successfully prepared by an improved two-step method and characterized by IR, XRD,TEM,and UV-vis techniques.The improved photocatalytic property of the ZnO/GO composite material,evaluated by the photocatalytic degradation of methyl orange（MO） under UV irradiation,is ascribed to the intimate contact between ZnO and GO,the enhanced adsorption of MO,the quick electron transfer from excited ZnO particles to GO sheets and the activation of MO molecules viaπ-πinteraction between MO and GO.
文摘The new adhesive material for the construction joints of tunnel lining(named as SZC) was studied based on the structural characteristics of interfaces and the characteristic of bonding construction, and the performance indexes were verified by tests. The experimental results show that the adhesive capability of interface is improved effectively by using SZC material, the properties, such as anti-freezing, erosion-resistance and anti-shrinkage are improved greatly as well as durability.
文摘The amount of muddy soil generated from various kinds of construction sites is always problematic. It is very difficult to treat muddy soil because of its low strength and high water content. But, the reuse of muddy soil is necessary to reduce the total amount of industrial wastes. Surplus concrete is also in a similar situation. Coarse and fine aggregates are removed from surplus concrete as an intermediate treatment, however, concrete sludge still remains. The authors propose a reuse method that involves the muddy soil being mixed with concrete sludge as an improvement material. The possibility of the utilization of concrete sludge was investigated through laboratory experiments. As a result, it was found that the unconfined compressive strength of the improved soil mixed with concrete sludge increased as the curing proceeded.
基金supported by the Beijing Natural Science Foundation(4242058)the National Natural Science Foundation of China(52271236,U22A20116,51931007,and 51971196)the National Key R&D Program of China(2022YFB3505600)。
文摘Given the severe energy and environmental crises,there is a pressing need for the development of high-performance functional materials.Therefore,significant challenges facing current functional materials must be addressed,including further improving material performance,resolving complex trade-offs between properties,and achieving multifunctionality for greater energy efficiency while effectively preventing premature failures during functional processes.Traditional materials may exhibit translational periodicity at the lattice level,but their microstructures,such as grains and their characteristics,are often randomly distributed.Recent discoveries indicate that if the microstructure is constructed in an ordered manner,e.g.,grain size gradient,materials can perform distinctively compared to their conventional counterparts,potentially breaking through the trade-offs between various properties and achieving transformative performance[1-3].
基金supported by the Nano & Material Technology Development Programs through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT (No. RS-2024-00407995 and No. RS-2024-00450102). The computations were carried out at Korea Institute of Science and Technology Information (KISTI) National Supercomputing Center (KSC-2025-CRE-0110) and at the Center for Advanced Computations (CAC) at Korea Institute for Advanced Study (KIAS).
文摘Pretrained universal machine-learning interatomic potentials(MLIPs)have revolutionized computational materials science by enabling rapid atomistic simulations as efficient alternatives to ab initio methods.Fine-tuning pretrained MLIPs offers a practical approach to improving accuracy for materials and properties where predictive performance is insufficient.However,this approach often induces catastrophic forgetting,undermining the generalizability that is a key advantage of pretrained MLIPs.Herein,we propose reEWC,an advanced fine-tuning strategy that integrates Experience Replay and Elastic Weight Consolidation(EWC)to effectively balance forgetting prevention with fine-tuning efficiency.Using Li_(6)PS_(5)Cl(LPSC),a sulfide-based Li solid-state electrolyte,as a fine-tuning target,we show that reEWC significantly improves the accuracy of a pretrained MLIP,resolving well-known issues of potential energy surface softening and overestimated Li diffusivities.Moreover,reEWC preserves the generalizability of the pretrained MLIP and enables knowledge transfer to chemically distinct systems,including other sulfide,oxide,nitride,and halide electrolytes.Compared to Experience Replay and EWC used individually,reEWC delivers clear synergistic benefits,mitigating their respective limitations while maintaining computational efficiency.These results establish reEWC as a robust and effective solution for continual learning in MLIPs,enabling universal models that can advance materials research through large-scale,high-throughput simulations across diverse chemistries.
