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20032023
most citedIntegrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

645 citations · 2.1k across the 59 of their papers we have counts for

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5 papers · 1 filter

q-bio.QM2021★ 16 cited

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

Debabrata Auddya, Xiaoxuan Zhang, Rahul Gulati +4

Biomembranes play a central role in various phenomena like locomotion of cells, cell-cell interactions, packaging of nutrients, and in maintaining organelle morphology and function…

q-bio.QM2019★ 645 cited

Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

Mark Alber, Adrian Buganza Tepole, William Cannon +8

Fueled by breakthrough technology developments, the biological, biomedical, and behavioral sciences are now collecting more data than ever before. There is a critical need for time…

q-bio.QM2019★ 18 cited

A computational framework for the morpho-elastic development of molluskan shells by surface and volume growth

Shiva Rudraraju, Derek E. Moulton, Régis Chirat +2

Mollusk shells are an ideal model system for understanding the morpho-elastic basis of morphological evolution of invertebrates' exoskeletons. During the formation of the shell, th…

q-bio.QM2003★ 231 cited

A continuum treatment of growth in biological tissue: The coupling of mass transport and mechanics

K. Garikipati, E. M. Arruda, K. Grosh +2

Growth (and resorption) of biological tissue is formulated in the continuum setting. The treatment is macroscopic, rather than cellular or sub-cellular. Certain assumptions that ar…

q-bio.QM2003★ 2 cited

Material forces in the context of biotissue remodelling

K. Garikipati, H. Narayanan, E. M. Arruda +2

Remodelling of biological tissue, due to changes in microstructure, is treated in the continuum mechanical setting. Microstructural change is expressed as an evolution of the refer…