Vishnu Sresht
Vishnu Sresht
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Dynamically reconfigurable complex emulsions via tunable interfacial tensions
LD Zarzar, V Sresht, EM Sletten, JA Kalow, D Blankschtein, TM Swager
Nature 518 (7540), 520-524, 2015
Liquid-phase exfoliation of phosphorene: design rules from molecular dynamics simulations
V Sresht, AAH Padua, D Blankschtein
ACS nano 9 (8), 8255-8268, 2015
Reconfigurable and responsive droplet-based compound micro-lenses
S Nagelberg, LD Zarzar, N Nicolas, K Subramanian, JA Kalow, V Sresht, ...
Nature communications 8 (1), 14673, 2017
Molecular transformer unifies reaction prediction and retrosynthesis across pharma chemical space
Q Yang, V Sresht, P Bolgar, X Hou, JL Klug-McLeod, CR Butler
Chemical communications 55 (81), 12152-12155, 2019
Are 2D fingerprints still valuable for drug discovery?
K Gao, DD Nguyen, V Sresht, AM Mathiowetz, M Tu, GW Wei
Physical chemistry chemical physics 22 (16), 8373-8390, 2020
Quantitative Modeling of MoS2–Solvent Interfaces: Predicting Contact Angles and Exfoliation Performance using Molecular Dynamics
V Sresht, A Govind Rajan, E Bordes, MS Strano, AAH Padua, ...
The Journal of Physical Chemistry C 121 (16), 9022-9031, 2017
Dominance of Dispersion Interactions and Entropy over Electrostatics in Determining the Wettability and Friction of Two-Dimensional MoS2 Surfaces
A Govind Rajan, V Sresht, AAH Pádua, MS Strano, D Blankschtein
ACS nano 10 (10), 9145-9155, 2016
Understanding the colloidal dispersion stability of 1D and 2D materials: perspectives from molecular simulations and theoretical modeling
S Lin, CJ Shih, V Sresht, AG Rajan, MS Strano, D Blankschtein
Advances in colloid and interface science 244, 36-53, 2017
Combined molecular dynamics simulation–molecular-thermodynamic theory framework for predicting surface tensions
V Sresht, EP Lewandowski, D Blankschtein, A Jusufi
Langmuir 33 (33), 8319-8329, 2017
Comprehensive assessment of torsional strain in crystal structures of small molecules and protein–ligand complexes using ab initio calculations
BK Rai, V Sresht, Q Yang, R Unwalla, M Tu, AM Mathiowetz, GA Bakken
Journal of chemical information and modeling 59 (10), 4195-4208, 2019
Torsionnet: A deep neural network to rapidly predict small-molecule torsional energy profiles with the accuracy of quantum mechanics
BK Rai, V Sresht, Q Yang, R Unwalla, M Tu, AM Mathiowetz, GA Bakken
Journal of Chemical Information and Modeling 62 (4), 785-800, 2022
2D equation-of-state model for corona phase molecular recognition on single-walled carbon nanotube and graphene surfaces
ZW Ulissi, J Zhang, V Sresht, D Blankschtein, MS Strano
Langmuir 31 (1), 628-636, 2015
Understanding miltefosine–membrane interactions using molecular dynamics simulations
M Malta de Sá, V Sresht, CO Rangel-Yagui, D Blankschtein
Langmuir 31 (15), 4503-4512, 2015
Actuation of Janus emulsion droplets via optothermally induced marangoni forces
S Nagelberg, JF Totz, M Mittasch, V Sresht, L Zeininger, TM Swager, ...
Physical review letters 127 (14), 144503, 2021
Predicting surface tensions of surfactant solutions from statistical mechanics
HJ Cho, V Sresht, EN Wang
Langmuir 34 (6), 2386-2395, 2018
Modeling the cytotoxicity of cisplatin
V Sresht, JR Bellare, SK Gupta
Industrial & engineering chemistry research 50 (23), 12872-12880, 2011
Understanding enhanced boiling with triton x surfactants
HJ Cho, V Sresht, D Blankschtein, EN Wang
Heat Transfer Summer Conference 55485, V002T07A047, 2013
Compositions and methods for arranging colloid phases
TM Swager, ED Blankschtein, LD Zarzar, V Sresht, E Sletten, JA Kalow
US Patent 10,005,058, 2018
Black box recursive translations for molecular optimization
F Damani, V Sresht, S Ra
arXiv preprint arXiv:1912.10156, 2019
3D molecule generation by denoising voxel grids
PO O Pinheiro, J Rackers, J Kleinhenz, M Maser, O Mahmood, A Watkins, ...
Advances in Neural Information Processing Systems 36, 2024
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