activity
20102026
most citedCALYPSO: a method for crystal structure prediction

2.9k citations · 7.1k across the 31 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2024★ 14 cited

CrystalFlow: A Flow-Based Generative Model for Crystalline Materials

Xiaoshan Luo, Zhenyu Wang, Qingchang Wang +4

Deep learning-based generative models have emerged as powerful tools for modeling complex data distributions and generating high-fidelity samples, offering a transformative approac…

cond-mat.mtrl-sci2024

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…

physics.comp-ph2024★ 5 cited

Nonlocal free-energy density functional for warm dense matter

Cheng Ma, Min Chen, Yu Xie +4

Finite-temperature orbital-free density functional theory (FT-OFDFT) holds significant promise for simulating warm dense matter due to its favorable scaling with both system size a…

cond-mat.mtrl-sci2024★ 72 cited

Deep learning generative model for crystal structure prediction

Xiaoshan Luo, Zhenyu Wang, Pengyue Gao +4

Recent advances in deep learning generative models (GMs) have created high capabilities in accessing and assessing complex high-dimensional data, allowing superior efficiency in na…