Zobrazeno 1 - 10
of 118
pro vyhledávání: '"WITOLD DZWINEL"'
Publikováno v:
Computer Science, Vol 2, Iss 1, Pp 13-51 (2000)
In the paper we present a new method, which can be used as a natural solver for searching the best solution in the multidimensional and multimodal parameter space. The method is based on a well-known simulation technique, i.e., molecular dynamics. To
Externí odkaz:
https://doaj.org/article/ace446e0a6c24a14b0bef1d8a14d5298
Autor:
WITOLD DZWINEL, DAVID A. YUEN
Publikováno v:
TASK Quarterly, Vol 5, Iss 3 (2001)
The dispersion of the agglomerating fluid process involving colloids has been investigated at the mesoscale level by a discrete particle approach – the hybrid fluid particle model (FPM). Dynamical processes occurring in the granulation of colloidal
Externí odkaz:
https://doaj.org/article/47ac4d5498594f20a74b28e66b9bbea7
Autor:
MONIKA RYCHCIK, JAROSŁAW BOŚKO, JAROSŁAW RYBICKI, WITOLD ALDA, WITOLD DZWINEL, GIORGIO MANCINI, LAURO FIORETTI
Publikováno v:
TASK Quarterly, Vol 5, Iss 1 (2001)
In the paper we make a short overview of computer models based on particle approach, which can be suitable for the simulation of fluid flow through porous media. We concentrate on Molecular Dynamics (MD) and Dissipative Particle Dynamics (DPD) method
Externí odkaz:
https://doaj.org/article/78870ceef7d74a6486ec2946d06c7e8c
Publikováno v:
TASK Quarterly, Vol 1, Iss 1 (1997)
A new model for thermal convection simulations using molecular dynamics (MD) approach is reported briefly. Preliminary results are presented. Development of the method is discussed in short.
Externí odkaz:
https://doaj.org/article/7cf265ef149f43e8be4d8a779701f5d1
Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression
Publikováno v:
Computers & Mathematics with Applications. 113:214-224
We show how to construct the deep neural network (DNN) expert to predict quasi-optimal $hp$-refinements for a given computational problem. The main idea is to train the DNN expert during executing the self-adaptive $hp$-finite element method ($hp$-FE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5176a3708948b9ce03f7396bd5214d90
http://arxiv.org/abs/2209.05844
http://arxiv.org/abs/2209.05844
Autor:
Jacek Dajda, Michał Idzik, Jakub Sroka, Mikołaj Sikora, Wiktor Pawłowski, Maciej Smołka, Przemysław Jabłecki, Filip Ślazyk, Maciej Malawski, Emilia Majerz, Aleksandra Pasternak, Witold Dzwinel, Wojciech Kania, Bogumiła Hnatkowska, Wojciech Thomas, Joanna Świebocka-Więk, Andrzej Paszkiewicz
Publikováno v:
Computing and Informatics
COMPUTING AND INFORMATICS; Vol. 40 No. 4 (2021): Computing and Informatics; 930–956
COMPUTING AND INFORMATICS; Vol. 40 No. 4 (2021): Computing and Informatics; 930–956
This article presents short analysis and observations on current trends and directions in conducting engineering theses in the field of computer science. This report is based on collected bachelor theses in AGH Computer Science Department for academi
Autor:
Marcin Łoś, Maciej Paszyński, Witold Dzwinel, Vladimir Puzyrev, Victor M. Calo, Grzegorz Gurgul
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering. 22:1269-1281
Modeling tumor growth in biological systems is a challenging problem with important consequences for diagnosis and treatment of various forms of cancer. This growth process requires large simulation complexity due to evolving biological and chemical
Autor:
Marcin Łoś, Witold Dzwinel, Muhammad Amber Hassaan, Adrian Kłusek, Maciej Paszyński, Keshav Pingali
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 343:1-22
We present a parallel solver for isogeometric L2 projections implemented in GALOIS system. We use the solver for isogeometric finite element method simulations of tumor growth. First, we describe the dependencies between the quantities describing the