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Animesh Agarwal
Animesh Agarwal
Unknown affiliation
Verified email at fu-berlin.de
Title
Cited by
Cited by
Year
Observed mechanism for the breakup of small bundles of cellulose Iα and Iβ in ionic liquids from molecular dynamics simulations
BD Rabideau, A Agarwal, AE Ismail
The Journal of Physical Chemistry B 117 (13), 3469-3479, 2013
1222013
The role of the cation in the solvation of cellulose by imidazolium-based ionic liquids
BD Rabideau, A Agarwal, AE Ismail
The Journal of Physical Chemistry B 118 (6), 1621-1629, 2014
1112014
Molecular dynamics in a grand ensemble: Bergmann–Lebowitz model and adaptive resolution simulation
A Agarwal, J Zhu, C Hartmann, H Wang, L Delle Site
New Journal of Physics 17 (8), 083042, 2015
632015
Chemical potential of liquids and mixtures via adaptive resolution simulation
A Agarwal, H Wang, C Schütte
The Journal of Chemical Physics 141 (3), 2014
632014
Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins
HI Ingólfsson, C Neale, TS Carpenter, R Shrestha, CA López, TH Tran, ...
Proceedings of the National Academy of Sciences 119 (1), e2113297119, 2022
592022
Excess equimolar radius of liquid drops
M Horsch, H Hasse, AK Shchekin, A Agarwal, S Eckelsbach, J Vrabec, ...
Physical Review E 85 (3), 031605, 2012
572012
Path integral molecular dynamics within the grand canonical-like adaptive resolution technique: Simulation of liquid water
A Agarwal, L Delle Site
The Journal of chemical physics 143 (9), 2015
522015
Adaptive resolution molecular dynamics technique: Down to the essential
C Krekeler, A Agarwal, C Junghans, M Praprotnik, L Delle Site
The Journal of chemical physics 149 (2), 2018
452018
Molecular dynamics of open systems: construction of a mean‐field particle reservoir
L Delle Site, C Krekeler, J Whittaker, A Agarwal, R Klein, F Höfling
Advanced Theory and Simulations 2 (5), 1900014, 2019
382019
Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media
N Lubbers, A Agarwal, Y Chen, S Son, M Mehana, Q Kang, S Karra, ...
Scientific Reports 13312 (10), 2020
272020
Grand-canonical adaptive resolution centroid molecular dynamics: Implementation and application
A Agarwal, L Delle Site
Computer Physics Communications 206, 26-34, 2016
262016
Path integral-GC-AdResS simulation of a large hydrophobic solute in water: A tool to investigate the interplay between local microscopic structures and quantum delocalization …
A Agarwal, C Clementi, L Delle Site
Physical Chemistry Chemical Physics 19 (20), 13030-13037, 2017
222017
Adaptive resolution simulation in equilibrium and beyond
H Wang, A Agarwal
The European Physical Journal Special Topics 224 (12), 2269-2287, 2015
192015
Unveiling the dynamics of KRAS4b on lipid model membranes
CA López, A Agarwal, QN Van, AG Stephen, S Gnanakaran
The Journal of Membrane Biology 254, 201-216, 2021
92021
Computational efficiency and Amdahl’s law for the adaptive resolution simulation technique
C Junghans, A Agarwal, L Delle Site
Computer Physics Communications 215, 20-25, 2017
72017
Computing long time scale biomolecular dynamics using quasi-stationary distribution kinetic Monte Carlo (QSD-KMC)
A Agarwal, NW Hengartner, S Gnanakaran, AF Voter
The Journal of chemical physics 151, 074109, 2019
52019
Path Integral Techniques in Molecular Dynamics Simulations of Open Boundary Systems
A Agarwal
12016
Adaptive Resolution Simulation as a Grand Canonical Molecular Dynamics Scheme: Principles, Applications and Perspectives
L Delle Site, A Agarwal, C Junghans, H Wang
arXiv preprint arXiv:1412.4540, 2014
12014
Arbitrarily accurate representation of atomistic dynamics via Markov Renewal Processes
A Agarwal, S Gnanakaran, N Hengartner, AF Voter, D Perez
arXiv preprint arXiv:2008.11623, 2020
2020
Machine Learning for Estimating Methane Distribution in 2-D Nano-pores
H Wu, A Agarwal, J E Santos, M Mehana, HS Viswanathan, N Lubbers
AGU Fall Meeting Abstracts 2019, H31K-1860, 2019
2019
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