Panagiotis Angelikopoulos

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Petros KoumoutsakosHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Costas PapadimitriouUniversity of ThessalyAdresse e-mail validée de uth.gr
Stephen WuThe Institute of Statistical MathematicsAdresse e-mail validée de ism.ac.jp
Panagiotis HadjidoukasUniversity of PatrasAdresse e-mail validée de upatras.gr
Paraskevi GkekaSanofi R&D, FRAdresse e-mail validée de sanofi.com
Lev SarkisovProfessor, Department of Chemical Engineering, the University of ManchesterAdresse e-mail validée de manchester.ac.uk
Dmitry Vladimirovich AlexeevPhD student, ETH ZurichAdresse e-mail validée de ethz.ch
Zoe CourniaDirector or Research, Biomedical Research Foundation, Academy of AthensAdresse e-mail validée de bioacademy.gr
Jens Honore WaltherDTU DenmarkAdresse e-mail validée de dtu.dk
Konstantinos GiapisProfessor of Chemical Engineering, California Institute of TechnologyAdresse e-mail validée de cheme.caltech.edu
Georgios ArampatzisMathematics and Applied Mathematics Department, University of CreteAdresse e-mail validée de ethz.ch
Jie ChenFull professor in Physics, Tongji UniversityAdresse e-mail validée de tongji.edu.cn
Vassilios ConstantoudisResearcher, NCSR DemokritosAdresse e-mail validée de inn.demokritos.gr
George KokkorisSchool of Chemical Engineering, National Technical University of AthensAdresse e-mail validée de chemeng.ntua.gr
Evangelos GogolidesDirector of Research, Institute of Nanoscience and Nanotechnology, NCSR "Demokritos"Adresse e-mail validée de inn.demokritos.gr
Nikos KarathanasopoulosNew York University, Abu Dhabi campus & Tandon School of EngineeringAdresse e-mail validée de nyu.edu
Eleanor E.B. CampbellProfessor of Chemistry, University of EdinburghAdresse e-mail validée de ed.ac.uk
Robert D. MoserProfessor, Institute for Computational Engineering & Sciences, and Mechanical EngineeringAdresse e-mail validée de oden.utexas.edu
Guillem BallesterosKuva SpaceAdresse e-mail validée de maxwellrules.com
Diego RossinelliStanford UniversityAdresse e-mail validée de stanford.edu

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Panagiotis Angelikopoulos

D.E. Shaw Research

Adresse e-mail validée de DEShawResearch.com

Bayesian Uncertainty Quantification Predictive Computational Chemistry


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework P Angelikopoulos, C Papadimitriou, P Koumoutsakos The Journal of chemical physics 137 (14), 2012	237	2012
On the Kapitza Resistance between Few-Layer Graphene and Water: Liquid Layering Effects D Alexeev, J Chen, JH Walther, KP Giapis, P Angelikopoulos, ... Nano Letters 15 (9), 5744–5749, 2015	219	2015
Personalized radiotherapy design for glioblastoma: integrating mathematical tumor models, multimodal scans, and Bayesian inference J Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ... IEEE transactions on medical imaging 38 (8), 1875-1884, 2019	147	2019
Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models PE Hadjidoukas, P Angelikopoulos, C Papadimitriou, P Koumoutsakos Journal of Computational Physics 284, 1-21, 2015	143	2015
X-TMCMC: Adaptive kriging for Bayesian inverse modeling P Angelikopoulos, C Papadimitriou, P Koumoutsakos Computer Methods in Applied Mechanics and Engineering 289, 409-428, 2015	133	2015
Dispersing individual single-wall carbon nanotubes in aqueous surfactant solutions below the cmc P Angelikopoulos, A Gromov, A Leen, O Nerushev, H Bock, ... The Journal of Physical Chemistry C 114 (1), 2-9, 2010	97	2010
Homogeneous hydrophobic–hydrophilic surface patterns enhance permeation of nanoparticles through lipid membranes P Gkeka, L Sarkisov, P Angelikopoulos The journal of physical chemistry letters 4 (11), 1907-1912, 2013	93	2013
The science of dispersing carbon nanotubes with surfactants P Angelikopoulos, H Bock Physical chemistry chemical physics 14 (27), 9546-9557, 2012	81	2012
Membrane partitioning of anionic, ligand-coated nanoparticles is accompanied by ligand snorkeling, local disordering, and cholesterol depletion P Gkeka, P Angelikopoulos, L Sarkisov, Z Cournia PLoS computational biology 10 (12), e1003917, 2014	80	2014
Directed self-assembly of surfactants in carbon nanotube materials P Angelikopoulos, H Bock The Journal of Physical Chemistry B 112 (44), 13793-13801, 2008	74	2008
Dual nanoscale roughness on plasma-etched Si surfaces: Role of etch inhibitors G Kokkoris, V Constantoudis, P Angelikopoulos, G Boulousis, ... Physical Review B—Condensed Matter and Materials Physics 76 (19), 193405, 2007	72	2007
Bayesian annealed sequential importance sampling: an unbiased version of transitional Markov chain Monte Carlo S Wu, P Angelikopoulos, C Papadimitriou, P Koumoutsakos ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018	69	2018
Self-assembly of anionic, ligand-coated nanoparticles in lipid membranes P Angelikopoulos, L Sarkisov, Z Cournia, P Gkeka Nanoscale 9 (3), 1040-1048, 2017	64	2017
Data driven, predictive molecular dynamics for nanoscale flow simulations under uncertainty P Angelikopoulos, C Papadimitriou, P Koumoutsakos The Journal of Physical Chemistry B 117 (47), 14808-14816, 2013	63	2013
A hierarchical Bayesian framework for force field selection in molecular dynamics simulations S Wu, P Angelikopoulos, C Papadimitriou, R Moser, P Koumoutsakos Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016	57	2016
Bayesian hierarchical models for uncertainty quantification in structural dynamics GC Ballesteros, P Angelikopoulos, C Papadimitriou, P Koumoutsakos Vulnerability, uncertainty, and risk: Quantification, mitigation, and …, 2014	41	2014
The differences in surfactant adsorption on carbon nanotubes and their bundles P Angelikopoulos, H Bock Langmuir 26 (2), 899-907, 2010	40	2010
Hierarchical stochastic model in Bayesian inference for engineering applications: Theoretical implications and efficient approximation S Wu, P Angelikopoulos, JL Beck, P Koumoutsakos ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019	37	2019
Fusing heterogeneous data for the calibration of molecular dynamics force fields using hierarchical Bayesian models S Wu, P Angelikopoulos, G Tauriello, C Papadimitriou, P Koumoutsakos The Journal of chemical physics 145 (24), 2016	37	2016
Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials PE Hadjidoukas, P Angelikopoulos, D Rossinelli, D Alexeev, ... Computer Methods in Applied Mechanics and Engineering 282, 218-238, 2014	37	2014

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