Saeid Ghomi
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Saeid Ghomi's research focuses on developing advanced computational frameworks for scientific simulations. He has contributed to the development of BPS2026, a hybrid deep learning framework designed for molecular dynamics simulations. This work aims to enhance the analysis of complex dynamical networks within molecular systems, utilizing deep learning approaches to improve simulation efficiency and insight.
Metrics
- Publications: 1
Selected Publications
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BPS2026 – Deep dynamical network analysis (DDNA): A hybrid deep learning framework for molecular dynamics simulations (2026)
Collaboration Network
Top Collaborators
- BPS2026 – Deep dynamical network analysis (DDNA): A hybrid deep learning framework for molecular dynamics simulations
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