No AI summary available for this article.
Why It Matters
The discovery of novel inorganic materials drives technological breakthroughs in critical fields such as computing and energy storage.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
The discovery of novel inorganic materials drives technological breakthroughs in critical fields such as computing and energy storage. Generative AI has promised to accelerate the materials discovery pipeline, but state-of-the-art flow and diffusion models remain bottlenecked by the cost of proposing candidate materials. To address this, we introduce OMatG-flash, an all-atom flow map for inorganic crystal structure prediction (CSP) and de novo generation (DNG). OMatG-flash is a Pareto-optimal inference engine for materials, sampling candidate materials with an order of magnitude fewer inferenc...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.26402v1 · Indexed about 2 hours ago