Author

S. Loggia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

M. E. Johnson· 2 shared A. Jhaveri· 1 shared M. J. Varga· 1 shared O. N. Yogurtcu· 1 shared Y. Fu· 1 shared Y. Qian· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBiophysics

M. E. Johnson

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2 papers

Recent·Most cited

Discovering optimal kinetic pathways for self-assembly using automatic differentiation

A. Jhaveri, S. Loggia, Y. Qian, M. E. Johnson

This paper uses automatic differentiation to optimize kinetic pathways for self-assembly, identifying strategies to avoid kinetic traps and improve assembly yield in multi-subunit complexes.

bioRxiv · Aug 30, 2023Biophysics

NERDSS: a non-equilibrium simulator for multibody self-assembly at the cellular scale

M. J. Varga, S. Loggia, Y. Fu, O. N. Yogurtcu, M. E. Johnson

NERDSS simulates multibody self-assembly processes by integrating reaction-diffusion with rule-based models, enabling comparison with experimental data on clathrin-mediated endocytosis and viral lattice assembly.

bioRxiv · Nov 24, 2019 · PreprintBiophysics