Zobrazeno 1 - 10
of 650
pro vyhledávání: '"Su, Yanjing"'
One of the most effective methods to enhance the strength of aluminum alloys involves modifying grain boundaries (GBs) through solute segregation. However, the fundamental mechanisms of solute segregation and their impacts on material properties rema
Externí odkaz:
http://arxiv.org/abs/2404.13694
Autor:
Song, Keke, Zhao, Rui, Liu, Jiahui, Wang, Yanzhou, Lindgren, Eric, Wang, Yong, Chen, Shunda, Xu, Ke, Liang, Ting, Ying, Penghua, Xu, Nan, Zhao, Zhiqiang, Shi, Jiuyang, Wang, Junjie, Lyu, Shuang, Zeng, Zezhu, Liang, Shirong, Dong, Haikuan, Sun, Ligang, Chen, Yue, Zhang, Zhuhua, Guo, Wanlin, Qian, Ping, Sun, Jian, Erhart, Paul, Ala-Nissila, Tapio, Su, Yanjing, Fan, Zheyong
Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicability. Here, we present a feasible approach for constructing a unified g
Externí odkaz:
http://arxiv.org/abs/2311.04732
Autor:
Gu, Liang, Liu, Yang, Chen, Pin, Huang, Haiyou, Chen, Ning, Li, Yang, Lu, Yutong, Su, Yanjing
Predicting high temperature superconductors has long been a great challenge. A major difficulty is how to predict the transition temperature Tc of superconductors. Recently, progress in material informatics has led to a number of machine learning mod
Externí odkaz:
http://arxiv.org/abs/2308.11160
Simulating collision cascades and radiation damage poses a long-standing challenge for existing interatomic potentials, both in terms of accuracy and efficiency. Machine-learning based interatomic potentials have shown sufficiently high accuracy for
Externí odkaz:
http://arxiv.org/abs/2305.08140
Publikováno v:
International Journal of Heat and Mass Transfer, 206, 123943(2023)
Recently a novel two-dimensional (2D) C$_{60}$ based crystal called quasi-hexagonal-phase fullerene (QHPF) has been fabricated and demonstrated to be a promising candidate for 2D electronic devices [Hou et al. Nature 606, 507-510 (2022)]. We construc
Externí odkaz:
http://arxiv.org/abs/2208.03982
Publikováno v:
Physica E: Low-dimensional Systems and Nanostructures 144, 2022, 115410
In a previous paper [Physical Review B \textbf{103}, 035417 (2021)], we showed that the equilibrium molecular dynamics (EMD) method can be used to compute the apparent thermal conductivity of finite systems. It has been shown that the apparent therma
Externí odkaz:
http://arxiv.org/abs/2207.13405
Autor:
Fan, Zheyong, Wang, Yanzhou, Ying, Penghua, Song, Keke, Wang, Junjie, Wang, Yong, Zeng, Zezhu, Xu, Ke, Lindgren, Eric, Rahm, J. Magnus, Gabourie, Alexander J., Liu, Jiahui, Dong, Haikuan, Wu, Jianyang, Chen, Yue, Zhong, Zheng, Sun, Jian, Erhart, Paul, Su, Yanjing, Ala-Nissila, Tapio
Publikováno v:
Journal of Chemical Physics 157, 114801 (2022)
We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2021)] and their implementation in the open-source package GPUMD. We in
Externí odkaz:
http://arxiv.org/abs/2205.10046
Publikováno v:
Journal of Applied Physics 130, 235102 (2021)
We study the interfacial thermal conductance of grain boundaries (GBs) between monolayer graphene and hexagonal boron nitride (h-BN) sheets using a combined atomistic approach. First, realistic samples containing graphene/h-BN GBs with different tilt
Externí odkaz:
http://arxiv.org/abs/2111.14289
Publikováno v:
In Applied Surface Science 30 May 2024 656
Publikováno v:
In Corrosion Science 1 May 2024 231