Panagiotis Angelikopoulos

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

Dmitry Alexeev, Jie Chen, Jens Honoré Walther et al. · Nano Letters · 2015 · 214 citations

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

Panagiotis Angelikopoulos, Costas Papadimitriou, Petros Koumoutsakos · The Journal of Chemical Physics · 2012 · 194 citations

Engineering, Bayesian Framework, Computational Chemistry +16

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

Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu et al. · IEEE Transactions on Medical Imaging · 2019 · 168 citations · Full text

Engineering, Machine Learning, Multimodality +23

X-TMCMC: Adaptive kriging for Bayesian inverse modeling

Panagiotis Angelikopoulos, Costas Papadimitriou, Petros Koumoutsakos · Computer Methods in Applied Mechanics and Engineering · 2015 · 113 citations

Adaptive Kriging, Statistical Inference, Markov Chain Monte Carlo +3

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

Panagiotis Hadjidoukas, Panagiotis Angelikopoulos, Costas Papadimitriou et al. · Journal of Computational Physics · 2014 · 106 citations

Bayesian Statistics, Engineering, Uncertainty Quantification +14