Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to <i>N</i>-methylacetamide

Research article (The Journal of Chemical Physics, 2020) · cited 34× · AI/ML
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Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to N-methylacetamide

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Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to N-methylacetamide is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to <i>N</i>-methylacetamide. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-for-vibrational-spectroscopy-via-divide-and-conquer-semiclassical-initial-value-representation-molecula
MLA “Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to <i>N</i>-methylacetamide.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-for-vibrational-spectroscopy-via-divide-and-conquer-semiclassical-initial-value-representation-molecula.
BibTeX @misc{4ortxyz_machine-learning-for-vibrational-spectroscopy-via-divide-and-conquer-semiclassical-initial-value-representation-molecula_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to <i>N</i>-methylacetamide}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-for-vibrational-spectroscopy-via-divide-and-conquer-semiclassical-initial-value-representation-molecula}, note = {Accessed: 2026-05-24}}
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