Work

Molecular Denoising Using Diffusion Models with Physics-Informed Priors

Year: 2025

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.5c00274

Authors: Ishan Nadkarni, J.P. Martínez Cordeiro, Narayana R. Aluru

Institution: The University of Texas at Austin

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Energy Frontier Research Centers

Awards: Collaborative Research: U.S.-Ireland R&D Partnership: Full Atomistic Understanding of Solid-Liquid Interfaces via an Integrated Experiment-Theory Approach, G463943581

OpenAlex ID: W4408553291

FWCI:

Cites: 30

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Related to: 10