• Media type: E-Article
  • Title: The resolution-vs.-accuracy dilemma in machine learning modeling of electronic excitation spectra
  • Contributor: Kayastha, Prakriti; Chakraborty, Sabyasachi; Ramakrishnan, Raghunathan
  • Published: Royal Society of Chemistry (RSC), 2022
  • Published in: Digital Discovery, 1 (2022) 5, Seite 689-702
  • Language: English
  • DOI: 10.1039/d1dd00031d
  • ISSN: 2635-098X
  • Origination:
  • Footnote:
  • Description: We present electronic ground and excited state properties of a new chemical space dataset, and suggest a strategy for efficient machine learning modeling of electronic spectral intensities.
  • Access State: Open Access