1.Spin-chirality-driven multiferroicity in van der waals monolayers
C Liu, W Ren, S Picozzi
Physical Review Letters 132 (8), 086802 2024
2. Magnetoelectric Coupling in Multiferroic Bilayer VS2
X Liu, AP Pyatakov, W Ren
Physical Review Letters 125 (24), 247601 2020
3. Dirac-Weyl Semimetal: Coexistence of Dirac and Weyl Fermions in Polar Hexagonal ABC Crystals
H Gao, Y Kim, JWF Venderbos, CL Kane, EJ Mele, AM Rappe, W Ren
Physical Review Letters 121 (10), 106404 2018
4. Ferroelectric Domains in Multiferroic BiFeO3 Films under Epitaxial Strains
W Ren, Y Yang, O Diéguez, J Íniguez, N Choudhury, L Bellaiche
Physical Review Letters 110 (18), 187601 2013
5. Prediction of the Magnetotoroidic Effect from Atomistic Simulations
W Ren, L Bellaiche
Physical Review Letters 107 (12), 127202 2011
6. Universal spin-Hall conductance fluctuations in two dimensions
W Ren, Z Qiao, J Wang, Q Sun, H Guo
Physical Review Letters 97 (6), 66603 2006
7. Topology turns the crank on a magnetoelectric switch
W Ren, L Bellaiche
Nature 607 (7917), 34-36 2022
8. Giant Carrier Mobility in a Room-Temperature Ferromagnetic VSi2N4 Monolayer
L Qiao, M Li, Y Cui, S Xu, JR Reimers, W Ren
Nano Letters 2024
9. Multipiezo Effect in Altermagnetic V2SeTeO Monolayer
Y Zhu, T Chen, Y Li, L Qiao, X Ma, C Liu, T Hu, H Gao, W Ren
Nano Letters 24 (1), 472-478 2023
10. Anomalous and Polarization‐Sensitive Photoresponse of Td‐WTe2 from Visible to Infrared Light
W Zhou, J Chen, H Gao, T Hu, S Ruan, A Stroppa, W Ren
Advanced Materials 31 (5), 1804629 2019
人工智能材料信息学成果：
1.液态-Al/固态-TiB2界面的即时机器学习力场研究
On-the-Fly Machine Learning Force Field Study of Liquid-Al/Solid-TiB2 Interfaces
W Liu, G Zhang, T Hu, S Shuai, C Chen, S Xu, W Ren, J Wang, Z Ren
ACS Applied Materials & Interfaces 16 (34), 45754-45762 2024
2.磁性材料的自旋依赖图神经网络势能
Spin-dependent graph neural network potential for magnetic materials
H Yu, Y Zhong, L Hong, C Xu, W Ren, X Gong, H Xiang
Physical Review B 109109(14), 144426 2024
3.液态铝/α-Al2O3界面的即时机器学习力场研究
On-the-fly machine learning force field study of liquid-Al/α-Al2O3 interface
G Zhang, W Liu, T Hu, S Shuai, C Chen, S Xu, W Ren, J Wang, Z Ren
Applied Surface Science 638, 158141 2023
4.四方ABO3钙钛矿的本征压电各向异性的高通量研究
Intrinsic Piezoelectric Anisotropy of Tetragonal ABO3 Perovskites: A High-Throughput Study
F Jia, S Xu, S Hu, J Chen, Y Wang, Y Li, W Ren, J Cheng
arXiv 2310.16591 2023
5.基于原子团扩展的机器学习力场对 Fe-Co 合金转变的分子动力学模拟
Molecular Dynamics Simulation of the Transformation of Fe-Co Alloy byMachine Learning Force Field Based on Atomic Cluster Expansion
Y Li, F Xu, L Hou, L Sun, H Su, X Li, and W Ren
Chemical Physics Letters 826, 140646 2023
6.基于原子位置嵌入的变换器模型用于预测晶体材料的状态密度
Atomic Positional Embedding-Based Transformer Model for Predicting the Density of States of Crystalline Materials
Y Cui, K Chen, L Zhang, H Wang, L Bai, D Elliston, W Ren
The Journal of Physical Chemistry Letters 14 (35), 7924-7930 2023
7.机器学习研究液氮温度以上的铜氧化物超导材料
Cuprate superconducting materials above liquid nitrogen temperature from machine learning
Y Wang, T Su, Y Cui, X Ma, X Zhou, Y Wang, S Hu, W Ren
RSC advances 13 (29), 19836-19845 2023
8.基于可解释Δ机器学习的精确带隙预测
Accurate band gap prediction based on an interpretable Δ-machine learning
L Zhang, T Su, M Li, F Jia, S Hu, P Zhang, W Ren
Materials Today Communications 33, 104630 2022
9.物理特征助力机器学习认知晶体属性
Physics-Based Feature Makes Machine Learning Cognizing Crystal Properties Simple
T Su, Y Cui, Z Lian, M Hu, M Li, W Lu, W Ren
The Journal of Physical Chemistry Letters 12 (35), 8521-8527 2021
10.第一原理/机器学习研究有机-无机杂化钙钛矿的电子输运
Electronic transport of organic-inorganic hybrid perovskites from first-principles and machine learning
L Li, Y You, S Hu, Y Shi, G Zhao, C Chen, Y Wang, A Stroppa, W Ren
Applied Physics Letters 114, 083102 2019 |