Suvranu De
Suvranu De
Dean of the College of Engineering, Florida A&M University - Florida Sate University
Потвърден имейл адрес: rpi.edu - Начална страница
Haptics in minimally invasive surgical simulation and training
C Basdogan, S De, J Kim, M Muniyandi, H Kim, MA Srinivasan
IEEE computer graphics and applications 24 (2), 56-64, 2004
The method of finite spheres
S De, KJ Bathe
Computational Mechanics 25 (4), 329-345, 2000
Mechanical properties of the hexagonal boron nitride monolayer: Ab initio study
Q Peng, W Ji, S De
Computational Materials Science 56, 11-17, 2012
Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion
CS Bjornsson, SJ Oh, YA Al-Kofahi, YJ Lim, KL Smith, JN Turner, S De, ...
Journal of neural engineering 3 (3), 196, 2006
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
M Alber, A Buganza Tepole, WR Cannon, S De, S Dura-Bernal, ...
NPJ digital medicine 2 (1), 115, 2019
New materials graphyne, graphdiyne, graphone, and graphane: review of properties, synthesis, and application in nanotechnology
Q Peng, AK Dearden, J Crean, L Han, S Liu, X Wen, S De
Nanotechnology, science and applications, 1-29, 2014
Outstanding mechanical properties of monolayer MoS 2 and its application in elastic energy storage
Q Peng, S De
Physical Chemistry Chemical Physics 15 (44), 19427-19437, 2013
Mechanical properties of graphyne monolayers: a first-principles study
Q Peng, W Ji, S De
Physical Chemistry Chemical Physics 14 (38), 13385-13391, 2012
Achieving interface and environment fidelity in the Virtual Basic Laparoscopic Surgical Trainer
A Chellali, H Mentis, A Miller, W Ahn, VS Arikatla, G Sankaranarayanan, ...
International journal of human-computer studies 96, 22-37, 2016
Microfluidics-enabled orientation and microstructure control of macroscopic graphene fibres
G Xin, W Zhu, Y Deng, J Cheng, LT Zhang, AJ Chung, S De, J Lian
Nature nanotechnology 14 (2), 168-175, 2019
Multiscale modeling meets machine learning: What can we learn?
GCY Peng, M Alber, A Buganza Tepole, WR Cannon, S De, ...
Archives of Computational Methods in Engineering 28, 1017-1037, 2021
Common uses and cited complications of energy in surgery
G Sankaranarayanan, RR Resapu, DB Jones, S Schwaitzberg, S De
Surgical endoscopy 27, 3056-3072, 2013
The method of finite spheres with improved numerical integration
S De, KJ Bathe
Computers & Structures 79 (22-25), 2183-2196, 2001
Mechanical stabilities of silicene
Q Peng, X Wen, S De
Rsc Advances 3 (33), 13772-13781, 2013
Using the PhysX engine for physics‐based virtual surgery with force feedback
A Maciel, T Halic, Z Lu, LP Nedel, S De
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2009
A theoretical analysis of the effect of the hydrogenation of graphene to graphane on its mechanical properties
Q Peng, C Liang, W Ji, S De
Physical Chemistry Chemical Physics 15 (6), 2003-2011, 2013
Shockwave generates< 100> dislocation loops in bcc iron
Q Peng, F Meng, Y Yang, C Lu, H Deng, L Wang, S De, F Gao
Nature communications 9 (1), 4880, 2018
In situ measurement and modeling of biomechanical response of human cadaveric soft tissues for physics-based surgical simulation
YJ Lim, D Deo, TP Singh, DB Jones, S De
Surgical endoscopy 23, 1298-1307, 2009
Thermal injury of skin and subcutaneous tissues: A review of experimental approaches and numerical models
H Ye, S De
Burns 43 (5), 909-932, 2017
Predictive modeling of lung motion over the entire respiratory cycle using measured pressure‐volume data, 4DCT images, and finite‐element analysis
J Eom, XG Xu, S De, C Shi
Medical physics 37 (8), 4389-4400, 2010
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