Yuchu Wang

Yuchu Wang studies the atomic-scale behavior of materials, particularly how disorder, chemistry, and structure at grain boundaries (the interfaces between crystals in a metal) affect properties like strength and cracking in metal alloys. This work combines computer simulations of atoms with machine learning to predict how materials will behave and degrade over time. The research has practical relevance for designing stronger, more durable metals and understanding polymer glass stability.

Publication output was minimal or absent in the earlier part of the decade, then increased noticeably starting in 2023-2024, suggesting a growing and more active recent research output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026