3 citations · 3 across the 1 of their papers we have counts for
4 papers · 1 filter
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…
Boron-assisted synthesis of compositionally complex amorphous oxides via short-range-order-constrained generative design
Honglin Li, Chuhao Liu, Yongfeng Guo +19
Engineering short-range atomic order in amorphous materials offers a promising yet still underexplored route to high-performance solids. Here, we establish a boron-assisted amorphi…
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…
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…