EMOS: The Unified AI Platform for Electronic Materials Discovery

Published: 25 Mar 2026, Last Modified: 12 May 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: AI-based materials discovery, electronic materials, interoperable frameworks, generative models, property prediction, modular workflows, open-source scientific software
TL;DR: A modular, open-source framework that unifies databases, generative models, and prediction models into composable workflows, accelerating interoperable AI-driven electronic materials discovery.
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: 224
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