2 papers
cs.AI2026
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
Edward W. Staley, Tom Arbaugh, Michael Pekala +6
Modern generative machine learning (ML) models can propose novel inorganic crystalline materials with targeted properties; however, synthesis planning of these materials remains di…
cs.DL2025
Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization
Michael Pekala, Gregory Canal, Samuel Barham +5
A key factor for lunar mission planning is the ability to assess the local availability of raw materials. However, many potentially relevant measurements are scattered across a var…