Conte Riccardo

RICERCATORE A TEMPO DETERMINATO (Lettera A)
SSD
CHIM/02 - CHIMICA FISICA
Settore concorsuale
03/A2 - MODELLI E METODOLOGIE PER LE SCIENZE CHIMICHE

Contatti

Sede di lavoro

Via Golgi, 19 - Corpo B
20133 MILANO (MI)

E-mail di ateneo
Ricevimento
Appuntamento via email
Luogo di ricevimento
Dipartimento di Chimica, piano rialzato, ala B, stanza R11S
Ricerca

Pubblicazioni

Pubblicazioni
  • Δ-machine learning for potential energy surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) level of theory / A. Nandi, C. Qu, P.L. Houston, R. Conte, J.M. Bowman. - In: THE JOURNAL OF CHEMICAL PHYSICS. - ISSN 0021-9606. - 154:5(2021), pp. 051102.1-051102.8.
  • How many water molecules are needed to solvate one? / A. Rognoni, R. Conte, M. Ceotto. - In: CHEMICAL SCIENCE. - ISSN 2041-6520. - 12(2021), pp. 2060.1-2060.5.
  • Full-dimensional, ab initio potential energy surface for glycine with characterization of stationary points and zero-point energy calculations by means of diffusion Monte Carlo and semiclassical dynamics / R. Conte, P. Houston, C. Qu, J. Li, J.M. Bowman. - In: THE JOURNAL OF CHEMICAL PHYSICS. - ISSN 0021-9606. - 153:24(2020 Dec 22).
  • Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to N-methylacetamide / M. Gandolfi, A. Rognoni, C.D. Aieta, R. Conte, M. Ceotto. - 153:20(2020 Nov 28).
  • Semiclassical Vibrational Spectroscopy of Biological Molecules Using Force Fields / F. Gabas, R. Conte, M. Ceotto. - In: JOURNAL OF CHEMICAL THEORY AND COMPUTATION. - ISSN 1549-9618. - 16:6(2020 Jun 09), pp. 3476-3485.