Author

S. Rudraraju

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Biology Disciplines

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Biophysics· 2

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Approach:deep learning· 2 Approach:statistical model· 2

Frequent Co-Authors

K. Garikipati· 2 shared P. Rangamani· 2 shared R. Vasan· 2 shared D. Auddya· 1 shared M. Akamatsu· 1 shared R. Gulati· 1 shared X. Zhang· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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7 top collaborators · 18 mutual co-author links

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2 shared papersBiophysics

K. Garikipati

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintJan 28, 2021

Biomembranes undergo complex, non-axisymmetric deformations governed by Kirchhoff-Love kinematics and revealed by a three dimensional computational framework

D. Auddya, X. Zhang, R. Gulati…·S. Rudraraju

The paper presents a 3D computational framework for modeling biomembrane deformations using Kirchhoff-Love kinematics, demonstrating its ability to capture non-axisymmetric deformations and symmetry-breaking behaviors.

DOI 10.1101/2021.01.28.428578

deep learningstatistical model

𝕏 PostBluesky

BiophysicsbioRxivNov 7, 2019

A mechanical model reveals that non-axisymmetric buckling lowers the energy barrier associated with membrane neck constriction

R. Vasan, S. Rudraraju, M. Akamatsu…·P. Rangamani

This study uses a mechanical model to show that non-axisymmetric buckling reduces the energy barrier for membrane neck constriction compared to symmetric necks.

DOI 10.1039/c9sm01494b

deep learningstatistical model

𝕏 PostBluesky