Three novel iridium(III)complexes with pyrimidine carboxylic acid as the auxiliary ligand were designed,showing adjustable emission peak wavelengths from 559 nm to 610 nm with relatively high photoluminescence quantum...Three novel iridium(III)complexes with pyrimidine carboxylic acid as the auxiliary ligand were designed,showing adjustable emission peak wavelengths from 559 nm to 610 nm with relatively high photoluminescence quantum yields(PLQYs)of 58–89%in CH_(2)Cl_(2).The structures of the title complexes were confirmed by single-crystal X-ray diffraction(XRD),nuclear magnetic resonance spectroscopy(NMR),and high-resolution mass spectrometry(HRMS).Their electronic states were investigated using time-dependent density functional theory(TD-DFT)calculations.When employing these emitters to fabricate solution-processed organic light-emitting diodes(OLEDs),the obtained orange and red OLEDs exhibit prominent performances with the maximum current efficiencies of 95.4 cd A^(-1)and 39.8 cd A^(-1),and the maximum external quantum efficiencies(EQE_(max))of 31.3%and 24.7%,both of which are ranked among the highest values for orange and red solution-processed OLEDs.展开更多
Digital processing is our preferred way to manipulate data,as it gives us unparalleled flexibility.However,as the volume of information increases,fully digital electronic solutions are encountering memory,latency,and ...Digital processing is our preferred way to manipulate data,as it gives us unparalleled flexibility.However,as the volume of information increases,fully digital electronic solutions are encountering memory,latency,and power challenges.A renewed interest is growing in analog signal processing,and photonics integrated circuits could really be a game-changing technology.展开更多
China has been developed into one of the most active regions in terms of both fundamental and applied research on magnesium （Mg） and its alloys in the world from a solid base laid by its prominent metallurgist and m...China has been developed into one of the most active regions in terms of both fundamental and applied research on magnesium （Mg） and its alloys in the world from a solid base laid by its prominent metallurgist and materials scientists over the past decades. Nowadays, a large number of young-generation researchers have been inspired by their predecessors and become the key participants in the fields of Mg alloys, which consequently led to the establishment of China Youth Scholar Society for Magnesium Alloys Research in 2015. Since then, the first two China Youth Scholars Symposiums on Mg Alloys Research had been held at Harbin （2015） and Chongqing （2016） China, respectively. A number of crucial research inter- ests related to fundamental and applied Mg research were discussed at the conferences and summarized in this short perspective, aiming to boost far-reaching initiatives for development of new Mg-based materials to satisfy the requirements for a broad range of industrial employments. Herein, four main aspects are included as follows： i） Plastic deformation mechanism and strengthening strategy, ii） Design and development of new Mg-based materials, iii） Key service properties, and iv） New processing technologies.展开更多
Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study propos...Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study proposes an HPC-optimized hybrid model integrating XGBoost and multilayer perceptron(MLP)architectures.By implementing batch-optimized memory hierarchies and cache-aware data partitioning,we efficiently process a large amount of feedstock ratio data and metallurgical performance metrics from industrial production cycles.Experimental results demonstrate superior accuracy in predicting RDI,ΔT,RI,and RSI indices compared to single-model approaches.The proposed framework provides a scalable solution for real-time performance prediction in smart manufacturing systems,reducing computational overhead through dynamic load balancing across HPC nodes.展开更多
The European Sentinel missions and the latest generation of the United States Landsat satellites provide new opportunities for global environmental monitoring.They acquire imagery at spatial resolutions between 10 and...The European Sentinel missions and the latest generation of the United States Landsat satellites provide new opportunities for global environmental monitoring.They acquire imagery at spatial resolutions between 10 and 60 m in a temporal and spatial coverage that could before only be realized on the basis of lower resolution Earth observation data(>250 m).However,images gathered by these modern missions rapidly add up to data volume that can no longer be handled with standard work stations and software solutions.Hence,this contribution introduces the TimeScan concept which combines pre-existing tools to an exemplary modular pipeline for the flexible and scalable processing of massive image data collections on a variety of(private or public)computing clusters.The TimeScan framework covers solutions for data access to arbitrary mission archives(with different data provisioning policies)and data ingestion into a processing environment(EO2Data module),mission specific pre-processing of multi-temporal data collections(Data2TimeS module),and the generation of a final TimeScan baseline product(TimeS2Stats module)providing a spectrally and temporally harmonized representation of the observed surfaces.Technically,a TimeScan layer aggregates the information content of hundreds or thousands of single images available for the area and time period of interest(i.e.up to hundreds of TBs or even PBs of data)into a higher level product with significantly reduced volume.In first test,the TimeScan pipeline has been used to process a global coverage of 452,799 multispectral Landsat–8 scenes acquired from 2013 to 2015,a global data-set of 25,550 Envisat ASAR radar images collected 2010–2012,and regional Sentinel–1 and Sentinel–2 collections of∼1500 images acquired from 2014 to 2016.The resulting TimeScan products have already been successfully used in various studies related to the large-scale monitoring of environmental processes and their temporal dynamics.展开更多
基金National Natural Science Foundation of China(52203231 and 22365035)Guangdong Basic and Applied Basic Research Foundation(2021A1515110478)+2 种基金Shenzhen University Stability Support Program Project(20220818172424009)Applied Basic Research Projects of Yunnan Province(202101AT070217)Yunnan Normal University Postgraduate Research Innovation Fund(YJSJJ23-B128)。
文摘Three novel iridium(III)complexes with pyrimidine carboxylic acid as the auxiliary ligand were designed,showing adjustable emission peak wavelengths from 559 nm to 610 nm with relatively high photoluminescence quantum yields(PLQYs)of 58–89%in CH_(2)Cl_(2).The structures of the title complexes were confirmed by single-crystal X-ray diffraction(XRD),nuclear magnetic resonance spectroscopy(NMR),and high-resolution mass spectrometry(HRMS).Their electronic states were investigated using time-dependent density functional theory(TD-DFT)calculations.When employing these emitters to fabricate solution-processed organic light-emitting diodes(OLEDs),the obtained orange and red OLEDs exhibit prominent performances with the maximum current efficiencies of 95.4 cd A^(-1)and 39.8 cd A^(-1),and the maximum external quantum efficiencies(EQE_(max))of 31.3%and 24.7%,both of which are ranked among the highest values for orange and red solution-processed OLEDs.
文摘Digital processing is our preferred way to manipulate data,as it gives us unparalleled flexibility.However,as the volume of information increases,fully digital electronic solutions are encountering memory,latency,and power challenges.A renewed interest is growing in analog signal processing,and photonics integrated circuits could really be a game-changing technology.
基金support from Chinese Committee for Magnesium and its Application
文摘China has been developed into one of the most active regions in terms of both fundamental and applied research on magnesium （Mg） and its alloys in the world from a solid base laid by its prominent metallurgist and materials scientists over the past decades. Nowadays, a large number of young-generation researchers have been inspired by their predecessors and become the key participants in the fields of Mg alloys, which consequently led to the establishment of China Youth Scholar Society for Magnesium Alloys Research in 2015. Since then, the first two China Youth Scholars Symposiums on Mg Alloys Research had been held at Harbin （2015） and Chongqing （2016） China, respectively. A number of crucial research inter- ests related to fundamental and applied Mg research were discussed at the conferences and summarized in this short perspective, aiming to boost far-reaching initiatives for development of new Mg-based materials to satisfy the requirements for a broad range of industrial employments. Herein, four main aspects are included as follows： i） Plastic deformation mechanism and strengthening strategy, ii） Design and development of new Mg-based materials, iii） Key service properties, and iv） New processing technologies.
文摘Predicting pellet metallurgical performance is critical for optimizing industrial smelting processes,yet traditional methods face computational bottlenecks when handling large-scale material datasets.This study proposes an HPC-optimized hybrid model integrating XGBoost and multilayer perceptron(MLP)architectures.By implementing batch-optimized memory hierarchies and cache-aware data partitioning,we efficiently process a large amount of feedstock ratio data and metallurgical performance metrics from industrial production cycles.Experimental results demonstrate superior accuracy in predicting RDI,ΔT,RI,and RSI indices compared to single-model approaches.The proposed framework provides a scalable solution for real-time performance prediction in smart manufacturing systems,reducing computational overhead through dynamic load balancing across HPC nodes.
基金The authors also thank the European Space Agency(ESA)for funding the project“Urban Thematic Exploitation Platform-TEP Urban”(ESRIN/Contract No.4000113707/15/I-NB)since the processing of the global TimeScan product based on Landsat-8 data was realized in the context of this initiative.
文摘The European Sentinel missions and the latest generation of the United States Landsat satellites provide new opportunities for global environmental monitoring.They acquire imagery at spatial resolutions between 10 and 60 m in a temporal and spatial coverage that could before only be realized on the basis of lower resolution Earth observation data(>250 m).However,images gathered by these modern missions rapidly add up to data volume that can no longer be handled with standard work stations and software solutions.Hence,this contribution introduces the TimeScan concept which combines pre-existing tools to an exemplary modular pipeline for the flexible and scalable processing of massive image data collections on a variety of(private or public)computing clusters.The TimeScan framework covers solutions for data access to arbitrary mission archives(with different data provisioning policies)and data ingestion into a processing environment(EO2Data module),mission specific pre-processing of multi-temporal data collections(Data2TimeS module),and the generation of a final TimeScan baseline product(TimeS2Stats module)providing a spectrally and temporally harmonized representation of the observed surfaces.Technically,a TimeScan layer aggregates the information content of hundreds or thousands of single images available for the area and time period of interest(i.e.up to hundreds of TBs or even PBs of data)into a higher level product with significantly reduced volume.In first test,the TimeScan pipeline has been used to process a global coverage of 452,799 multispectral Landsat–8 scenes acquired from 2013 to 2015,a global data-set of 25,550 Envisat ASAR radar images collected 2010–2012,and regional Sentinel–1 and Sentinel–2 collections of∼1500 images acquired from 2014 to 2016.The resulting TimeScan products have already been successfully used in various studies related to the large-scale monitoring of environmental processes and their temporal dynamics.
