Zobrazeno 1 - 10
of 4 547
pro vyhledávání: '"Marcel, F."'
Symmetry is one of the most central concepts in physics, and it is no surprise that it has also been widely adopted as an inductive bias for machine-learning models applied to the physical sciences. This is especially true for models targeting the pr
Externí odkaz:
http://arxiv.org/abs/2406.17747
Magnetic reconnection is understood to be the main physical process that facilitates the transformation of magnetic energy into heat, motion, and particle acceleration during solar eruptions. Yet, observational constraints on reconnection region prop
Externí odkaz:
http://arxiv.org/abs/2402.03567
Machine-learning potentials provide computationally efficient and accurate approximations of the Born-Oppenheimer potential energy surface. This potential determines many materials properties and simulation techniques usually require its gradients, i
Externí odkaz:
http://arxiv.org/abs/2305.01401
The Green-Kubo (GK) method is a rigorous framework for heat transport simulations in materials. However, it requires an accurate description of the potential-energy surface and carefully converged statistics. Machine-learning potentials can achieve t
Externí odkaz:
http://arxiv.org/abs/2303.14434
Publikováno v:
Journal of Materials Science: Materials in Medicine, Vol 35, Iss 1, Pp 1-10 (2024)
Abstract The employ of sterilization processes are essential to investigate biomaterials aiming for experimental, preclinical, or clinical applications with biological tissues. However, responsive surface properties of biomaterials may be susceptible
Externí odkaz:
https://doaj.org/article/6e4ee7f0c0fe41b1801a85b698afba21
Publikováno v:
Health and Quality of Life Outcomes, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Purpose The 2016 EQ-5D-3L value set for Trinidad and Tobago (T&T) allows for the calculation of EQ-5D-5L values via the crosswalk algorithm. The 2016 value set was based on methods predating the EQ-VT protocol, now considered the gold standa
Externí odkaz:
https://doaj.org/article/807d5673878f4afaba18ff815f1ffe46
Autor:
Hinss, Marcel F.1 (AUTHOR) marcel.hinss@isae-supaero.fr, Brock, Anke M.1 (AUTHOR), Roy, Raphaëlle N.1 (AUTHOR)
Publikováno v:
PLoS ONE. 10/3/2024, Vol. 19 Issue 10, p1-27. 27p.
Autor:
Sammie N. G. Jansen, Bart A. Kamphorst, Bob C. Mulder, Irene van Kamp, Sandra Boekhold, Peter van den Hazel, Marcel F. Verweij
Publikováno v:
BMC Medical Ethics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Scientific and technological advancements in mapping and understanding the interrelated pathways through which biological and environmental exposures affect disease development create new possibilities for detecting disease risk f
Externí odkaz:
https://doaj.org/article/1e82d2fea18b42da9dd5fcb45a36920f