Zobrazeno 1 - 10
of 94
pro vyhledávání: '"P. Hadjidoukas"'
Publikováno v:
SoftwareX, Vol 11, Iss , Pp - (2020)
In the current work, we provide a Bernoulli beam-mechanics based code for the computation of the effective static properties of two-dimensional, metamaterial lattice structures. The software makes use of the asymptotic expansion form of the inner kin
Externí odkaz:
https://doaj.org/article/c71a400e51554c00a66ce04f77815e8f
We present a general procedure to introduce electronic polarization into classical Molecular Dynamics (MD) force-fields using a Neural Network (NN) model. We apply this framework to the simulation of a solid-liquid interface where the polarization of
Externí odkaz:
http://arxiv.org/abs/2103.16447
Large scale simulations of complex systems ranging from climate and astrophysics to crowd dynamics, produce routinely petabytes of data and are projected to reach the zettabytes level in the coming decade. These simulations enable unprecedented insig
Externí odkaz:
http://arxiv.org/abs/1903.07761
Autor:
Lipkova, Jana, Angelikopoulos, Panagiotis, Wu, Stephen, Alberts, Esther, Wiestler, Benedikt, Diehl, Christian, Preibisch, Christine, Pyka, Thomas, Combs, Stephanie, Hadjidoukas, Panagiotis, Van Leemput, Koen, Koumoutsakos, Petros, Lowengrub, John S., Menze, Bjoern
Glioblastoma is a highly invasive brain tumor, whose cells infiltrate surrounding normal brain tissue beyond the lesion outlines visible in the current medical scans. These infiltrative cells are treated mainly by radiotherapy. Existing radiotherapy
Externí odkaz:
http://arxiv.org/abs/1807.00499
Autor:
Larson, Karen, Bowman, Clark, Chen, Zhizhong, Hadjidoukas, Panagiotis, Papadimitriou, Costas, Koumoutsakos, Petros, Matzavinos, Anastasios
Effective intervention strategies for epidemics rely on the identification of their origin and on the robustness of the predictions made by network disease models. We introduce a Bayesian uncertainty quantification framework to infer model parameters
Externí odkaz:
http://arxiv.org/abs/1710.07880
Autor:
Šukys, Jonas, Rasthofer, Ursula, Wermelinger, Fabian, Hadjidoukas, Panagiotis, Koumoutsakos, Petros
We quantify uncertainties in the location and magnitude of extreme pressure spots revealed from large scale multi-phase flow simulations of cloud cavitation collapse. We examine clouds containing 500 cavities and quantify uncertainties related to the
Externí odkaz:
http://arxiv.org/abs/1705.04374
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Arampatzis, Georgios, Wälchli, Daniel, Angelikopoulos, Panagiotis, Wu, Stephen, Hadjidoukas, Panagiotis, Koumoutsakos, Petros
We propose an algorithm for the efficient and robust sampling of the posterior probability distribution in Bayesian inference problems. The algorithm combines the local search capabilities of the Manifold Metropolis Adjusted Langevin transition kerne
Externí odkaz:
http://arxiv.org/abs/1610.05660
Publikováno v:
SoftwareX, Vol 9, Iss , Pp 324-327 (2019)
TendonMech is an open-source finite element software for the computation of the mechanical response of tendon fascicles. The software simulates the fascicle structure, accounting for both its inner composite fiber–matrix nature and for its helical
Externí odkaz:
https://doaj.org/article/d1fc36dbf59347bfa687c4c544617fe5