11 citations · 13 across the 9 of their papers we have counts for
Showing cond-mat.mtrl-sciShow all
3 papers · 1 filter
cond-mat.mtrl-sci2026
High-performance linear-scaling electronic structure method via chromatic superposition states
Zhikang Jiang, Zhizhi Xiao, Mingfa Tang +4
We introduce a high-performance linear-scaling electronic structure method that employs chromatic superposition states (CSS) as a low-dimensional, high-fidelity representation, whi…
cond-mat.mtrl-sci2025
Probing the Limit of Heat Transfer in Inorganic Crystals with Deep Learning
Jielan Li, Zekun Chen, Qian Wang +21
Heat transfer is a fundamental property of matter. Research spanning decades has attempted to discover materials with exceptional thermal conductivity, yet the upper limit remains…
cond-mat.mtrl-sci2023★ 1 cited
Accelerate Microstructure Evolution Simulation Using Graph Neural Networks with Adaptive Spatiotemporal Resolution
Shaoxun Fan, Andrew L. Hitt, Ming Tang +2
Surrogate models driven by sizeable datasets and scientific machine-learning methods have emerged as an attractive microstructure simulation tool with the potential to deliver pred…