5 papers
High-Pressure Crystal Structure Database
Zhenyu Wang, Qingchang Wang, Junwen Duan +7
High-pressure research is a productive route to new structures and emergent properties. However, crucial high-pressure structural information remains highly fragmented across indiv…
Theory of polarization-switchable electrical conductivity anisotropy in nonpolar semiconductors
Hong Jian Zhao, Yanchao Wang, Laurent Bellaiche +1
The anisotropic propagation of particles is a fundamental transport phenomenon in solid state physics. As for crystalline semiconductors, the anisotropic charge transport opens nov…
Self-Optimizing Machine Learning Potential Assisted Automated Workflow for Highly Efficient Complex Systems Material Design
Jiaxiang Li, Junwei Feng, Jie Luo +9
Machine learning interatomic potentials have revolutionized complex materials design by enabling rapid exploration of material configurational spaces via crystal structure predicti…
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
Yu Xin, Peng Liu, Zhuohang Xie +6
Even though thermodynamic energy-based crystal structure prediction (CSP) has revolutionized materials discovery, the energy-driven CSP approaches often struggle to identify experi…
Fast and stable tight-binding framework for nonlocal kinetic energy density functional reconstruction in orbital-free density functional calculations
Yongshuo Chen, Cheng Ma, Boning Cui +5
Nonlocal kinetic energy density functionals (KEDFs) with density-dependent kernels are currently the most accurate functionals available for orbital-free density functional theory…