P. Angelikopoulos

发表

Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2018 .

Homogeneous Hydrophobic-Hydrophilic Surface Patterns Enhance Permeation of Nanoparticles through Lipid Membranes.

P. Angelikopoulos, L. Sarkisov, P. Gkeka, 2013, The journal of physical chemistry letters.

Experimental data over quantum mechanics simulations for inferring the repulsive exponent of the Lennard-Jones potential in Molecular Dynamics

P. Koumoutsakos, C. Papadimitriou, P. Angelikopoulos, 2017, 1705.08533.

Data driven inference for the repulsive exponent of the Lennard-Jones potential in molecular dynamics simulations

P. Koumoutsakos, C. Papadimitriou, P. Angelikopoulos, 2017, Scientific Reports.

Kapitza Resistance between Few-Layer Graphene and Water: Liquid Layering Effects.

P. Koumoutsakos, J. Walther, P. Angelikopoulos, 2015, Nano letters.

Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2015, J. Comput. Phys..

Hierarchical Stochastic Model in Bayesian Inference: Theoretical Implications and Efficient Approximation

P. Koumoutsakos, Stephen Wu, J. Beck, 2016, 1611.02818.

Directed self-assembly of surfactants in carbon nanotube materials.

P. Angelikopoulos, H. Bock, 2008, The journal of physical chemistry. B.

The Nanoscale Cinderella Problem: Design of Surfactant Coatings for Carbon Nanotubes

P. Angelikopoulos, H. Bock, 2011 .

The science of dispersing carbon nanotubes with surfactants.

P. Angelikopoulos, H. Bock, Panagiotis Angelikopoulos, 2012, Physical chemistry chemical physics : PCCP.

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

Panagiotis Angelikopoulos, Petros Koumoutsakos, Bjoern H Menze, 2018, IEEE Transactions on Medical Imaging.

Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework.

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2012, The Journal of chemical physics.

Self-assembly of anionic, ligand-coated nanoparticles in lipid membranes.

Z. Cournia, P. Angelikopoulos, L. Sarkisov, 2017, Nanoscale.

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration pdf

Panagiotis Angelikopoulos, Koenraad Van Leemput, Petros Koumoutsakos, 2018, ArXiv.

Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2016, PASC.

Rational design of nanofibrous materials

Panagiotis Angelikopoulos, P. Angelikopoulos, Panagiotis Angelikopoulos, 2010 .

Pharmacokinetics of Anti‐VEGF Agent Aflibercept in Cancer Predicted by Data‐Driven, Molecular‐Detailed Model

Stacey D. Finley, P Angelikopoulos, P Koumoutsakos, 2015, CPT: pharmacometrics & systems pharmacology.

Placental plasticity in monochorionic twins: Impact on birth weight and placental weight.

P. Koumoutsakos, P. Angelikopoulos, L. Durrer, 2015, Placenta.

Membrane Partitioning of Anionic, Ligand-Coated Nanoparticles Is Accompanied by Ligand Snorkeling, Local Disordering, and Cholesterol Depletion

Panagiotis Angelikopoulos, Zoe Cournia, Paraskevi Gkeka, 2014, PLoS Comput. Biol..

Dual nanoscale roughness on plasma-etched Si surfaces: Role of etch inhibitors

E. Gogolides, V. Constantoudis, P. Angelikopoulos, 2007 .

X-TMCMC: Adaptive kriging for Bayesian inverse modeling

P. Koumoutsakos, C. Papadimitriou, P. Angelikopoulos, 2015 .

Angular dependence of surfactant-mediated forces between carbon nanotubes.

P. Angelikopoulos, D. Müter, H. Bock, 2012, The journal of physical chemistry. B.

Efficient hyperparameter optimization by way of PAC-Bayes bound minimization pdf

John J. Cherian, Andrew G. Taube, R. McGibbon, 2020, ArXiv.

Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials

Costas Papadimitriou, Panagiotis Angelikopoulos, Diego Rossinelli, 2014 .

Optimal structural arrangements of multilayer helical assemblies

Panagiotis Angelikopoulos, Nikolaos Karathanasopoulos, P. Angelikopoulos, 2016 .

Dispersing individual single-wall carbon nanotubes in aqueous surfactant solutions below the cmc

E. Campbell, O. Nerushev, P. Angelikopoulos, 2010 .

A hierarchical Bayesian framework for force field selection in molecular dynamics simulations

S Wu, P Angelikopoulos, C Papadimitriou, 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Structural forces from directed self-assembly.

P. Angelikopoulos, H. Bock, Saud Al Harthy, 2009, The journal of physical chemistry. B.

Data driven, predictive molecular dynamics for nanoscale flow simulations under uncertainty.

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2013, The journal of physical chemistry. B.

Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries

Costas Papadimitriou, Panagiotis Angelikopoulos, Petros Koumoutsakos, 2017 .