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Sanket A. Deshmukh
Sanket A. Deshmukh
Associate Professor, Department of Chemical Engineering, Virginia Tech
Verified email at vt.edu
Title
Cited by
Cited by
Year
Macroscale superlubricity enabled by graphene nanoscroll formation
D Berman, SA Deshmukh, SKRS Sankaranarayanan, A Erdemir, ...
Science 348 (6239), 1118-1122, 2015
7302015
Extraordinary macroscale wear resistance of one atom thick graphene layer
D Berman, SA Deshmukh, SKRS Sankaranarayanan, A Erdemir, ...
Advanced Functional Materials 24 (42), 6640-6646, 2014
2942014
Role of Solvation Dynamics and Local Ordering of Water in Inducing Conformational Transitions in Poly(N-isopropylacrylamide) Oligomers through the LCST
SA Deshmukh, SKRS Sankaranarayanan, K Suthar, DC Mancini
The Journal of Physical Chemistry B 116 (9), 2651-2663, 2012
1972012
A review of advancements in coarse-grained molecular dynamics simulations
SY Joshi, SA Deshmukh
Molecular Simulation 47 (10-11), 786-803, 2021
1202021
In silico based rank-order determination and experiments on nonaqueous electrolytes for sodium ion battery applications
G Kamath, RW Cutler, SA Deshmukh, M Shakourian-Fard, R Parrish, ...
The Journal of Physical Chemistry C 118 (25), 13406-13416, 2014
862014
Metal-induced rapid transformation of diamond into single and multilayer graphene on wafer scale
D Berman, SA Deshmukh, B Narayanan, SKRS Sankaranarayanan, ...
Nature communications 7 (1), 1-8, 2016
782016
Subnanometre ligand-shell asymmetry leads to Janus-like nanoparticle membranes
Z Jiang, J He, SA Deshmukh, P Kanjanaboos, G Kamath, Y Wang, ...
Nature materials 14 (9), 912-917, 2015
752015
Molecular modeling of thermo-responsive hydrogels: observation of lower critical solution temperature
S Deshmukh, DA Mooney, T McDermott, S Kulkarni, JMD MacElroy
Soft Matter 5 (7), 1514-1521, 2009
692009
Water ordering controls the dynamic equilibrium of micelle–fibre formation in self-assembly of peptide amphiphiles
SA Deshmukh, LA Solomon, G Kamath, HC Fry, ...
Nature communications 7 (1), 12367, 2016
642016
Machine-learned coarse-grained models
KK Bejagam, S Singh, Y An, SA Deshmukh
The journal of physical chemistry letters 9 (16), 4667-4672, 2018
622018
Atomistic insights into solvation dynamics and conformational transformation in thermo-sensitive and non-thermo-sensitive oligomers
SA Deshmukh, Z Li, G Kamath, KJ Suthar, SKRS Sankaranarayanan, ...
Polymer 54 (1), 210-222, 2013
582013
Atomistic insights into early stage oxidation and nanoscale oxide growth on Fe (100), Fe (111) and Fe (110) surfaces
R Subbaraman, SA Deshmukh, SKRS Sankaranarayanan
The Journal of Physical Chemistry C 117 (10), 5195-5207, 2013
542013
Vibrational spectra of proximal water in a thermo-sensitive polymer undergoing conformational transition across the lower critical solution temperature
SA Deshmukh, SKRS Sankaranarayanan, DC Mancini
The journal of physical chemistry B 116 (18), 5501-5515, 2012
532012
Probing the evolution and morphology of hard carbon spheres
VG Pol, J Wen, KC Lau, S Callear, DT Bowron, CK Lin, SA Deshmukh, ...
Carbon 68, 104-111, 2014
512014
Crystallization kinetics in AlxCrCoFeNi (0≤ x≤ 40) high-entropy alloys
A Sharma, SA Deshmukh, PK Liaw, G Balasubramanian
Scripta Materialia 141, 54-57, 2017
442017
In situ 3D imaging of catalysis induced strain in gold nanoparticles
A Ulvestad, K Sasikumar, JW Kim, R Harder, E Maxey, JN Clark, ...
The journal of physical chemistry letters 7 (15), 3008-3013, 2016
412016
PSO-assisted development of new transferable coarse-grained water models
KK Bejagam, S Singh, Y An, C Berry, SA Deshmukh
The Journal of Physical Chemistry B 122 (6), 1958-1971, 2018
392018
Thermodynamic considerations for solubility and conformational transitions of poly-N-isopropyl-acrylamide
G Kamath, SA Deshmukh, GA Baker, DC Mancini, ...
Physical Chemistry Chemical Physics 15 (30), 12667-12673, 2013
372013
Machine-learning enabled new insights into the coil-to-globule transition of thermosensitive polymers using a coarse-grained model
KK Bejagam, Y An, S Singh, SA Deshmukh
The Journal of Physical Chemistry Letters 9 (22), 6480-6488, 2018
362018
Machine learning approach for accurate backmapping of coarse-grained models to all-atom models
Y An, SA Deshmukh
Chemical Communications 56 (65), 9312-9315, 2020
352020
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