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Accelerating self-consistent field theoretic simulations for disordered systems with deep learning

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Year: 2025
Type: article
Source: The Journal of Chemical Physics
DOI: 10.1063/5.0297384
Authors: Dongqi Zhao, Qingquan Bao, Robert A. Riggleman
Institution: University of Pennsylvania
Language: English

Topic: Machine Learning in Materials Science
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation
Awards: Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services, Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS), ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI), Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT), Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI, Collaborative Research: Controlling Nanoscale Self-Assembly via Binding-Induced Polarization
OpenAlex ID: W4415693692
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Cites: 34
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