Towards ab-initio quality description of porous materials: Developing general Machine-Learned Potentials to simulate physical and adsorption properties of Metal-Organic Frameworks

Published: 25 Mar 2026, Last Modified: 22 Apr 2026AI4X-AC 2026 OralEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: Machine Learned Potential, Metal-Organic Frameworks, Material Design
TL;DR: We present a series of generalizable Machine Learned Potential for simulating the mechanical and adsorption properties of Metal-Organic Frameworks.
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: 371
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