the National Natural Sience Foundation of China for supporting this project within the Research Fund for International Young Scientists(12350410368);financial support from the Natural Science Foundation of Guangdong Province(2024A1515011343);the Key Project of Guangdong Provincial Department of Education(2023ZDZX3021)
In recent years,there has been growing interest in the study of chiral active materials,which consist of building blocks that show active dynamics featuring chiral symmetry breaking,e.g.,particles that rotate in a com...
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0450402);the National Natural Science Foundation of China(32090040 and 22373090)
We investigate the effective diffusion of a tracer immersed in an active particle bath consisting of self-propelled particles.Utilising the Dean's method developed for the equilibrium bath and extending it to the none...
supported by the National Natural Science Foundation of China (22208328, 22378370 and 22108261);Fundamental Research Program of Shanxi Province(20210302124618)
In this study,the fluid flow and mixing process in an impinging stream-rotating packed bed(IS-RPB)is simulated by using a new three-dimensional computational fluid dynamics model.Specifically,the gaseliquid flow is si...
When producing from conventional fields,the well rates are primarily constrained by the production-system in the early years of the field-life,while later in the field-life the production rates are primar-ily constrai...
supported by the National Key Research and Development Program of China (2023YFB3809501);the National Natural Science Foundation of China (52127816,51972259,52172231 and 52202290);the National Energy-Saving and Low-Carbon Materials Production and Application Demonstration Platform Program (TC220H06N);the Natural Science Foundation of Hubei Province (2022CFA087).
Rechargeable magnesium batteries(RMBs)have received increased attention due to their high volumetric capacity and safety.Nevertheless,the sluggish difusion kinetics of highly polarized Mg^(2+)in host lattices severely...
funded by the COMET program within the K2 Center “Integrated Computational Material;Process and Product Engineering (IC-MPPE)”, Project No. 859480;supported by the Austrian Federal Ministries for Transport;Innovation;and Technology (BMVIT);Digital and Economic Affairs (BMDW);represented by the Austrian Research Funding Association (FFG);the federal states of Styria;Upper Austria;and Tyrol
Alumina is one of the crucial and extensively utilized refractory components.As the refractory wear due to dissolution at elevated temperatures during operation is a major threat to refractory lifespan,quantifying dis...
Y.L.,S.S.,and S.O.were used computational resources of supercomputer Fugaku provided by the RIKEN Center for Computational Science(Project IDs:hp230205 and hp230212);the large-scale computer systems at the Cybermedia Center,Osaka University,the Large-scale parallel computing server at the Center for Computational Materials Science,Institute for Materials Research,Tohoku University,and Research Center for Computational Science,Okazaki,Japan(Project:24-IMS-C503);S.S.and S.O.acknowledge the support by projects of MEXT of Japan(grant numbers JPMXP1122684766,JPMXP1020230325 and JPMXP1020230327);S.S.acknowledges the support by projects of JSPS KAKENHI(grant numbers JP21K14042,JP24K17170,and JP24H00994);S.O.acknowledges the support by projects of JSPS KAKENHI(grant numbers JP17H01238,JP21K18675,JP23H00161,and JP23K20037).
In this study,we utilized a quantitative atomistic analysis approach to investigate the impact of chemical ordering structures on the diffusion behavior of interstitials and vacancies within the CrCoNi medium entropy ...
supported by Toyota Research Institute through the Accelerated Materials Design and Discovery program and the Office of Naval Research through a multidisciplinary university research initiative(MURI)grant N00014-20-1-2586;This research is supported in part through research cyber-infrastructure resources and services provided by the Partnership for an Advanced Computing Environment(PACE)at the Georgia Institute of Technology,Atlanta,Georgia,USA^(52);The authors thank XSEDE/ACCESS for computational support through Grant No.TGDMR080058N.
Machine learning(ML)models for predicting gas permeability through polymers have traditionally relied on experimental data.While these models exhibit robustness within familiar chemical domains,reliability wanes when ...
This research was intellectually led by the Materials Project program(Contract No.DE-AC02-05-CH11231,KC23MP);supported by the US Department of Energy,Office of Basic Energy Sciences.
Non-crystalline materials exhibit unique properties that make them suitable for various applications in science and technology,ranging from optical and electronic devices and solid-state batteries to protective coatin...
supported by the National Natural Science Foundation of China(22075147 and 22179063)。
Although metal oxide compounds are considered as desirable anode materials for potassium-ion batteries(PIBs)due to their high theoretical capacity,the large volume variation remains a key issue in realizing metal oxid...