Artículo
ML-J-DP4: An Integrated Quantum Mechanics-Machine Learning Approach for Ultrafast NMR Structural Elucidation
Tsai, Yi Hsuan
; Amichetti, Milagros Daniela
; Zanardi, Maria Marta
; Grimson, Rafael
; Hernández Daranas, Antonio; Sarotti, Ariel Marcelo
Fecha de publicación:
10/2022
Editorial:
American Chemical Society
Revista:
Organic Letters
ISSN:
1523-7060
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
A new tool, ML-J-DP4, provides an efficient and accurate method for determining the most likely structure of complex molecules within minutes using standard computational resources. The workflow involves combining fast Karplus-type J calculations with NMR chemical shifts predictions at the cheapest HF/STO-3G level enhanced using machine learning (ML), all embedded in the J-DP4 formalism. Our ML provides accurate predictions, which compare favorably alongside with other ML methods.
Palabras clave:
Structure elucidation
,
Machine learning
,
DFT
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Articulos (IIIA)
Articulos de INSTITUTO DE INVESTIGACION E INGENIERIA AMBIENTAL
Articulos de INSTITUTO DE INVESTIGACION E INGENIERIA AMBIENTAL
Articulos(CCT - ROSARIO)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - ROSARIO
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - ROSARIO
Articulos(IQUIR)
Articulos de INST.DE QUIMICA ROSARIO
Articulos de INST.DE QUIMICA ROSARIO
Citación
Tsai, Yi Hsuan; Amichetti, Milagros Daniela; Zanardi, Maria Marta; Grimson, Rafael; Hernández Daranas, Antonio; et al.; ML-J-DP4: An Integrated Quantum Mechanics-Machine Learning Approach for Ultrafast NMR Structural Elucidation; American Chemical Society; Organic Letters; 24; 41; 10-2022; 7487-7491
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