Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Christoph Lohrmann"'
Autor:
Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-15 (2023)
Abstract Particle-Based (PB) simulations, including Molecular Dynamics (MD), provide access to system observables that are not easily available experimentally. However, in most cases, PB data needs to be processed after a simulation to extract these
Externí odkaz:
https://doaj.org/article/e8087663ecc94a3c8613b47c8c25c955
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035054 (2024)
Reinforcement learning (RL) is a flexible and efficient method for programming micro-robots in complex environments. Here we investigate whether RL can provide insights into biological systems when trained to perform chemotaxis. Namely, whether we ca
Externí odkaz:
https://doaj.org/article/6a84ca100b9e4fefb4b0dbf963c9b5ca
Publikováno v:
Physical Review X, Vol 9, Iss 4, p 041032 (2019)
Because of its nonequilibrium character, active matter in a steady state can drive engines that autonomously deliver work against a constant mechanical force or torque. As a generic model for such an engine, we consider systems that contain one or se
Externí odkaz:
https://doaj.org/article/da3b181207d645579f6fb6920a8fc4ce
Autor:
Zubin Trivedi, Iryna Rybak, Christoph Lohrmann, Holger Class, David Krach, Elissa Eggenweiler, N. K. Karadimitriou, Paul Voland, Carina Bringedal, Kartik Jain, Arndt Wagner, Christian Holm, Holger Steeb, Felix Weinhardt
Publikováno v:
Transport in porous media, 138(1), 1-23. Springer
The intrinsic permeability is a crucial parameter to characterise and quantify fluid flow through porous media. However, this parameter is typically uncertain, even if the geometry of the pore structure is available. In this paper, we perform a compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cd1b1872e572b5f7a3a80dccfe5d977
Publikováno v:
Computational Intelligence Methods for Green Technology and Sustainable Development ISBN: 9783031196935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84eed8fd12e464af71914b63054f30ac
https://doi.org/10.1007/978-3-031-19694-2_5
https://doi.org/10.1007/978-3-031-19694-2_5
Publikováno v:
Annals of Computer Science and Information Systems.
Publikováno v:
Intelligent Systems and Applications in Business and Finance ISBN: 9783030936983
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b21feb2c547c2f012ad97a421dcf7a87
https://doi.org/10.1007/978-3-030-93699-0_6
https://doi.org/10.1007/978-3-030-93699-0_6
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11225fcb94726d691380c0e58f1a8aa
https://doi.org/10.1007/978-3-030-95467-3_7
https://doi.org/10.1007/978-3-030-95467-3_7
Publikováno v:
Intelligent Systems and Applications in Business and Finance ISBN: 9783030936983
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb91074655c684204fba8ccc64cc9e98
https://doi.org/10.1007/978-3-030-93699-0_5
https://doi.org/10.1007/978-3-030-93699-0_5
Publikováno v:
Nature Energy. 4:1040-1048
Connecting research on the water demand of power plants with mitigation strategies for energy-based water use is an important step to ensure global water and energy security, and thus provide more sustainable use of both. Here, we assess the water fo