1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Physics-Informed Neural Network for Geodesic Computation and Visualization of Geodesic Spheres on Riemannian Manifolds
Sujit Bhattacharyya
Visualizing geodesic structures associated with general Riemannian metrics is a challenging problem in computational differential geometry. In this work, we present a computational…
Interdisciplinary Workshop on Mechanical Intelligence: Summary Report
Victoria A. Webster-Wood, Nicholas Gravish, Amir Alavi +37
This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon tha…
FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs
Saeed Mohammadzadeh, Erfan Hamdi, Joel Shor +1
As LLMs advance their reasoning capabilities about the physical world, the absence of rigorous benchmarks for evaluating their ability to generate scientifically valid physical mod…
Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture
Erfan Hamdi, Emma Lejeune
Data driven approaches have the potential to make modeling complex, nonlinear physical phenomena significantly more computationally tractable. For example, computational modeling o…
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…