From Generative Models to Real-World Materials: Entalpic’s AI-Driven Discovery Loop
Keywords: materials discovery, generative models, MLIPs, active learning, LeMaterial, high-throughput lab experiments
TL;DR: We present Entalpic’s AI-driven discovery platform that integrates LeMaterial quantum datasets, predictive GNNs, generative GFlowNets, agentic LLMs, and experimental feedback into a closed-loop system for materials innovation.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 298
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