3 papers
cond-mat.mtrl-sci2026
Data-model Coevolution as the Architectural Principle for AI-Native Materials Databases
Fengyu Xie, Ruoyu Wang, Taoyuze Lv +3
AI-native approaches are reshaping computational materials discovery into iterative data-model coevolution cycles. However, most existing materials databases remain fundamentally d…
cond-mat.mtrl-sci2026
Role of Characteristic Length Scale in Interface Graphitization-Induced Wear Resistance of Diamond and Amorphous Carbon
WenLiang Shi, YanYu Zhang, WenZheng Liao +4
The evolution of interfacial atomic structures critically influences the friction and wear behavior of carbon-based materials. However, how the characteristic length scale of frict…
cond-mat.mtrl-sci2025
Pre-training, fine-tuning, and distillation (PFD): Automatically generating machine learning force fields from universal models
Ruoyu Wang, Yuxiang Gao, Hongyu Wu +1
Universal force fields generalizable across the periodic table represent a new trend in computational materials science. However, the applications of universal force fields in mate…