26 citations · 27 across the 3 of their papers we have counts for
3 papers
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Lingxiao Yuan, Emma Lejeune, Harold S. Park
There has been significant recent interest in the mechanics community to design structures that can either violate reciprocity, or exhibit elastic asymmetry or odd elasticity. Whil…
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani, Lingxiao Yuan, Pania Newell +1
Although deep learning has achieved remarkable success in various scientific machine learning applications, its opaque nature poses concerns regarding interpretability and generali…
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan, Harold S. Park, Emma Lejeune
There has been a massive increase in research interest towards applying data driven methods to problems in mechanics. While traditional machine learning (ML) methods have enabled m…