Research paper presenting generative language models for discovering novel energetic materials. Demonstrates application of transformer-based models to accelerate materials R&D.
Research
Generative Chemical Language Models for Energetic Materials Discovery
Generative language models trained on chemical structures discover novel energetic materials, demonstrating transformers' potential to accelerate materials R&D beyond traditional synthesis cycles.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
Tags
research