3 papers
physics.app-ph2026
A Multi-Fidelity Bayesian Neural Operator for Mechanics of Spinodal Metamaterial
Pu You, Hongshun Chen, Bahador Bahmani +1
Cellular metamaterials offer a vast design space for tailoring nonlinear mechanical responses, yet exploring this space with conventional modeling approaches is often infeasible or…
cond-mat.mtrl-sci2026
Machine Learning-Driven Creep Law Discovery Across Alloy Compositional Space
Hongshun Chen, Ryan Zhou, Rujing Zha +8
Hihg-temperature creep characterization of structural alloys traditionally relies on serial uniaxial tests, which are highly inefficient for exploring the large search space of all…
cond-mat.mtrl-sci2023
Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics
Garrett Blum, Ryan Doris, Diego Klabjan +2
Stress-strain curves, or more generally, stress functions, are an extremely important characterization of a material's mechanical properties. However, stress functions are often di…