Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tarik Sahin"'
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-30 (2024)
Abstract This paper explores the ability of physics-informed neural networks (PINNs) to solve forward and inverse problems of contact mechanics for small deformation elasticity. We deploy PINNs in a mixed-variable formulation enhanced by output trans
Externí odkaz:
https://doaj.org/article/d6ec803a7f784131ba3caadd26db4e9f
Autor:
Max von Danwitz, Thank Thank Kochmann, Tarik Sahin, Johannes Wimmer, Thomas Braml, Alexander Popp
Publikováno v:
PAMM. 22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0320499c83e14a03a626ba04f212e9
https://doi.org/10.1002/pamm.202200146
https://doi.org/10.1002/pamm.202200146
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 8, Iss 1, Pp 48- (2022)
ABSTRACT: Disruptive innovations (DI) have the potential to fundamentally change markets and their power relations: Specifically, established companies are confronted with the threat of being forced out of the market by DI. At the same time, companie
Externí odkaz:
https://doaj.org/article/59d5804e326e48dc9f92f3b93da9c695
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 7, Iss 118, p 118 (2021)
The design and development processes are full of decisions. Ranging from simple and straightforward to complex and elaborated. These decisions are taken by individuals that constantly rely on their intuition and heuristics to support their decision-m
Externí odkaz:
https://doaj.org/article/dd9073096b344d07aac0b4c84f404cdd