Cargando…
Rapid prediction of NMR spectral properties with quantified uncertainty
Accurate calculation of specific spectral properties for NMR is an important step for molecular structure elucidation. Here we report the development of a novel machine learning technique for accurately predicting chemical shifts of both [Formula: see text] and [Formula: see text] nuclei which ex...
Autores principales: | Jonas, Eric, Kuhn, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684566/ https://www.ncbi.nlm.nih.gov/pubmed/31388784 http://dx.doi.org/10.1186/s13321-019-0374-3 |
Ejemplares similares
-
Towards quantifying uncertainty in predictions of Amazon ‘dieback’
por: Huntingford, Chris, et al.
Publicado: (2008) -
Quantifying the uncertainty in heritability
por: Furlotte, Nicholas A, et al.
Publicado: (2014) -
Rapid prediction of full spin systems using uncertainty-aware machine learning
por: Williams, Jake, et al.
Publicado: (2023) -
Uncertainties in Interpolated Spectral Data
por: Gardner, James L.
Publicado: (2003) -
Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction
por: Sundqvist, M, et al.
Publicado: (2015)