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How has Suvranu De's publication output changed over time?
ScholarIQpublication output · 2006–2025
Output grew0% over the shown period — from 1 works in 2006 to 1 in 2025.
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20062012201320142018201920202025
What are the most-cited papers on Suvranu De?
ScholarIQmost cited works
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Salvador Durá-Bernal, Krishna Garikipati, George Em Karniadakis, William W. Lytton, Paris Perdikaris, Linda Petzold, Ellen Kuhl
npj Digital Medicine. 2019636 CitationsOPEN ACCESS
Mechanical properties of the hexagonal boron nitride monolayer: Ab initio study
Qing Peng, Wei Ji, Suvranu De
S26018076. 2012448 CitationsOPEN ACCESS
New materials graphyne, graphdiyne, graphone, and graphane: review of properties, synthesis, and application in nanotechnology
Qing Peng, Jared Crean, Liang Han, Sheng Liu, Xiaodong Wen, Suvranu De, Albert K. Dearden
S2736317906. 2014363 CitationsOPEN ACCESS
Multiscale modeling meets machine learning: What can we learn?
Grace C. Y. Peng, Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Dura-Bernal, Salvador, Krishna Garikipati, George Em Karniadakis, William W. Lytton, Paris Perdikaris, Linda Petzold, Ellen Kuhl
S4306400078. 2020356 Citations
Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion
Chris S. Bjornsson, Seung‐June Oh, Yousef Al‐Kofahi, Yi-Je Lim, Karen L. Smith, James N. Turner, Suvranu De, Badri Roysam, William Shain, Sung Joon Kim
Journal of Neural Engineering. 2006338 CitationsOPEN ACCESS
Related on ScholarIQ
Florida State University
Institution
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Paper
Mechanical properties of the hexagonal boron nitride monolayer: Ab initio study
Paper
New materials graphyne, graphdiyne, graphone, and graphane: review of properties, synthesis, and application in nanotechnology
Paper
Multiscale modeling meets machine learning: What can we learn?
Paper
Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion
Paper