Using mathematical plasticity theories, universal formability (UF) technology has been developed and applied in the automotive stamping engineering and production. As a formability analysis tool, this technology is th...Using mathematical plasticity theories, universal formability (UF) technology has been developed and applied in the automotive stamping engineering and production. As a formability analysis tool, this technology is the major methodology for the development of stamping expert system (solution provider) for (a) product design and feasibility analysis, (b) material automatic selection using nomograms, (c) draw die design using pre-models, and (d) UF and robustness analysis of die performance in finite element analysis (FEA) environment.展开更多
Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration wi...Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration with ideological and political education in courses.The AVIVA teaching model,a student-centered teaching model,provides new ideas for foreign language teaching.Based on an analysis of the current situation of foreign language courses in application-oriented universities,this article discusses the application strategies of the AVIVA teaching model from the perspective of ideological and political education in courses.Through specific teaching practice cases,it demonstrates the effectiveness of this model in improving students’foreign language proficiency and ideological and political literacy,providing a reference for the reform of foreign language teaching in application-oriented universities.展开更多
In order to cultivate more and more applied talents,promote the employment rate of college students,and improve the National English level,this paper,through theoretical analysis,reading and understanding the relevant...In order to cultivate more and more applied talents,promote the employment rate of college students,and improve the National English level,this paper,through theoretical analysis,reading and understanding the relevant literature,combined with practical work experience,through the design of teaching objectives,improving the curriculum evaluation system,and Innovating Curriculum teaching methods,achieves the effect-based teaching purpose.展开更多
Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data.However,generation of an accurate...Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data.However,generation of an accurate and robust training data set remains a challenge,often requiring thousands of first-principles calculations to achieve high accuracy.Foundation models have started to emerge with the ambition to create universally applicable potentials across a wide range of materials.While foundation models can be robust and transferable,they do not yet achieve the accuracy required to predict reaction barriers,phase transitions,and material stability.This work demonstrates that foundation model potentials can reach chemical accuracy when fine-tuned using transfer learning with partially frozen weights and biases.For two challenging datasets on reactive chemistry at surfaces and stability and elastic properties of tertiary alloys,we show that frozen transfer learning with 10–20%of the data(hundreds of datapoints)achieves similar accuracies to models trained from scratch(on thousands of datapoints).Moreover,we show that an equally accurate,but significantly more efficient surrogate model can be built using the transfer learned potential as the ground truth.In combination,we present a simulation workflow for machine learning potentials that improves data efficiency and computational efficiency.展开更多
July is the crucial month when students send in university applications based on their national college entrance exam scores.But this year,social media erupted after several high-scoring students chose to pass on what...July is the crucial month when students send in university applications based on their national college entrance exam scores.But this year,social media erupted after several high-scoring students chose to pass on what for so many others is a dream opportunity:applying to China's top two universities.展开更多
文摘Using mathematical plasticity theories, universal formability (UF) technology has been developed and applied in the automotive stamping engineering and production. As a formability analysis tool, this technology is the major methodology for the development of stamping expert system (solution provider) for (a) product design and feasibility analysis, (b) material automatic selection using nomograms, (c) draw die design using pre-models, and (d) UF and robustness analysis of die performance in finite element analysis (FEA) environment.
基金Research on the Path of Digital Empowerment for the Construction of Ideological and Political Education in Foreign Language Courses in Application-Oriented Undergraduate Universities(Project No.:cqgj23173C)Key University-Level Teaching Reform Project of 2024 of Chongqing Yitong University,“Exploration and Practice of the AVIVA Teaching Model in German Courses of Application-Oriented Universities from the Perspective of Ideological and Political Education in Courses”(Project No.:24JG209)。
文摘Ideological and political education in courses is an important task of higher education in the new era.As a crucial part of higher education,foreign language teaching needs to actively explore effective integration with ideological and political education in courses.The AVIVA teaching model,a student-centered teaching model,provides new ideas for foreign language teaching.Based on an analysis of the current situation of foreign language courses in application-oriented universities,this article discusses the application strategies of the AVIVA teaching model from the perspective of ideological and political education in courses.Through specific teaching practice cases,it demonstrates the effectiveness of this model in improving students’foreign language proficiency and ideological and political literacy,providing a reference for the reform of foreign language teaching in application-oriented universities.
文摘In order to cultivate more and more applied talents,promote the employment rate of college students,and improve the National English level,this paper,through theoretical analysis,reading and understanding the relevant literature,combined with practical work experience,through the design of teaching objectives,improving the curriculum evaluation system,and Innovating Curriculum teaching methods,achieves the effect-based teaching purpose.
基金support from the UKRI Future Leaders Fellowship program(MR/S016023/1,MR/X023109/1)a UKRI frontier research grant(ERC StG,EP/X014088/1)+1 种基金the CASTEP-USER grant funded by UK Research and Innovation(EP/W030438/1)the EPSRC-funded Centre for Doctoral Training in Modelling of Heterogeneous Systems(Het-Sys CDT,EP/S022848/1).High-performance computing resources were provided via the Scientific Computing Research Technology Platformof the University of Warwick.
文摘Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data.However,generation of an accurate and robust training data set remains a challenge,often requiring thousands of first-principles calculations to achieve high accuracy.Foundation models have started to emerge with the ambition to create universally applicable potentials across a wide range of materials.While foundation models can be robust and transferable,they do not yet achieve the accuracy required to predict reaction barriers,phase transitions,and material stability.This work demonstrates that foundation model potentials can reach chemical accuracy when fine-tuned using transfer learning with partially frozen weights and biases.For two challenging datasets on reactive chemistry at surfaces and stability and elastic properties of tertiary alloys,we show that frozen transfer learning with 10–20%of the data(hundreds of datapoints)achieves similar accuracies to models trained from scratch(on thousands of datapoints).Moreover,we show that an equally accurate,but significantly more efficient surrogate model can be built using the transfer learned potential as the ground truth.In combination,we present a simulation workflow for machine learning potentials that improves data efficiency and computational efficiency.
文摘July is the crucial month when students send in university applications based on their national college entrance exam scores.But this year,social media erupted after several high-scoring students chose to pass on what for so many others is a dream opportunity:applying to China's top two universities.
