3 papers
cond-mat.mtrl-sci2026
AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation Software
Sukriti Manna, Henry Chan, Subramanian Sankaranarayanan
AutoMOOSE is an agentic software framework that converts a natural-language request into an executed, screened, and interpreted MOOSE phase-field simulation. Here, we deploy AutoMO…
cs.AI2026
AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation
Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan
Phase-field modeling links thermodynamics and kinetics to microstructural evolution, but multiphysics frameworks such as MOOSE require expertise to construct inputs, manage campaig…
cs.LG2025
Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing
Dipayan Sanpui, Anirban Chandra, Henry Chan +2
We present a probabilistic framework to accurately estimate dimensions of additively manufactured components. Using a dataset of 405 parts from nine production runs involving two m…