Cargando…
A general framework for quantifying uncertainty at scale
In many fields of science, comprehensive and realistic computational models are available nowadays. Often, the respective numerical calculations call for the use of powerful supercomputers, and therefore only a limited number of cases can be investigated explicitly. This prevents straightforward app...
Autores principales: | Farcaş, Ionuţ-Gabriel, Merlo, Gabriele, Jenko, Frank |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739349/ https://www.ncbi.nlm.nih.gov/pubmed/37521032 http://dx.doi.org/10.1038/s44172-022-00045-0 |
Ejemplares similares
-
A framework for quantifying uncertainty in DFT energy corrections
por: Wang, Amanda, et al.
Publicado: (2021) -
Towards Quantifying the Uncertainty in Estimating Observed Scaling Rates
por: Ali, Haider, et al.
Publicado: (2022) -
Quantifying the uncertainty in heritability
por: Furlotte, Nicholas A, et al.
Publicado: (2014) -
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
por: Lemm, Steven, et al.
Publicado: (2009) -
A Power-Based Framework for Quantifying Parameter Uncertainties in Finite Vibroacoustic Metamaterial Plates
por: Atzrodt, Heiko, et al.
Publicado: (2023)