Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-09-26
S
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
Mahmoud Moradi
University of Arkansas at Fayetteville
1 shared publication
In database
- BPS2026 – Deep dynamical network analysis (DDNA): A hybrid deep learning framework for molecular dynamics simulations
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