Grain boundary plasticity initiated by excess volume

Q Zhu, Q Zhao, Q Huang, Y Chen, S Suresh… - Proceedings of the …, 2024 - pnas.org
Grain boundaries (GBs) serve not only as strong barriers to dislocation motion, but also as
important carriers to accommodate plastic deformation in crystalline solids. During …

Multiscale modeling of crystal defects in structural materials

J Wang, H Xu, H Gao, DL McDowell - MRS Bulletin, 2024 - Springer
Defects in crystals influence and control many relevant material properties. It is essential to
employ multiscale modeling to understand structure and evolution of crystal defects. Most …

[HTML][HTML] Phase field modeling of hyperelastic material interfaces–Theory, implementation and application to phase transformations

H Wilbuer, P Kurzeja, J Mosler - Computer Methods in Applied Mechanics …, 2024 - Elsevier
Interface mechanics can significantly govern the evolution of multiple phases on smaller
scales, eg, determining the properties of TWIP-and TRIP-steels, geopolymers or Li-ion …

Unveiling deformation behavior and damage mechanism of irradiated high entropy alloys

S Wang, Y Chen, J Li, B Liu, R Zhang, PK Liaw… - Journal of Materials …, 2024 - Elsevier
The oxide dispersion strengthening (ODS) high entropy alloy (HEA) exhibits the high
elevated temperature performance and radiation resistance due to severe atomic lattice …

Data-driven bio-mimetic composite design: Direct prediction of stress–strain curves from structures using cGANs

CH Chen, KY Chen, YC Shu - Journal of the Mechanics and Physics of …, 2024 - Elsevier
Designing high-performance composites requires integrating tasks, including material
selection, structural arrangement, and mechanical property characterization. Accurate …

A machine learning–based framework for map** hydrogen at the atomic scale

Q Zhao, Q Zhu, Z Zhang, B Yin, H Gao… - Proceedings of the …, 2024 - pnas.org
Hydrogen, the lightest and most abundant element in the universe, plays essential roles in a
variety of clean energy technologies and industrial processes. For over a century, it has …

[HTML][HTML] 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

J Yu, Z Wang, A Saksena, S Wei, Y Wei, T Colnaghi… - Acta Materialia, 2024 - Elsevier
Quantitative analysis of microstructural features on the nanoscale, including precipitates,
local chemical orderings (LCOs) or structural defects (eg stacking faults) plays a pivotal role …

A large atomic partition model for materials discovery

L Miao, X Yuan, C Tang, C Chen, E Gao - Extreme Mechanics Letters, 2024 - Elsevier
Accurate and efficient prediction of benchmark properties is essential to the discovery of
diverse functional materials, but searching vast element combinatorial and bonding …