3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CE2026
Physics-guided diffusion models for inverse design of disordered metamaterials
Ziyuan Xie, Weipeng Xu, Dazhi Zhao +6
Disordered metamaterials are promising for programming physical properties across diverse applications, yet their inverse design remains challenging due to the non-intuitive struct…
cs.LG2024
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer +3
Large language models (LLMs) bear promise as a fast and accurate material modeling paradigm for evaluation, analysis, and design. Their vast number of trainable parameters necessit…
eess.SP2024★ 3 cited
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
Ning Liu, Xuxiao Li, Manoj R. Rajanna +6
A digital twin (DT), with the components of a physics-based model, a data-driven model, and a machine learning (ML) enabled efficient surrogate, behaves as a virtual twin of the re…