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The first HyDRA challenge for computational vibrational spectroscopy

Taija L. Fischer, Margarethe Bödecker, Sophie M. Schweer, Jennifer Dupont, Valéria Lepère, Anne Zehnacker, Martin A. Suhm, Benjamin Schröder, Tobias Henkes, Diego M. Andrada, Roman M. Balabin, Haobam Kisan Singh, Himangshu Pratim Bhattacharyya, Manabendra Sarma, Silvan Käser, Kai Töpfer, Luis Itza Vazquez-Salazar, Eric D. Boittier, Markus Meuwly, Giacomo Mandelli, Cecilia Lanzi, Riccardo Conte, Michele Ceotto, Fabian Dietrich, Vicente Cisternas, Ramachandran Gnanasekaran, Michael Hippler, Mahmoud Jarraya, M. Hochlaf, Narasimhan Viswanathan, Thomas Nevolianis, Gabriel Rath, Wassja A. Kopp, Kai Leonhard, Ricardo A. Mata

2023Physical Chemistry Chemical Physics34 citationsDOIOpen Access PDF

Abstract

-1,2-diol are provided. The results of the challenge show promising predictive properties in both purely quantum mechanical approaches as well as regression and other machine learning strategies.

Topics & Concepts

Lernaean HydraQuantum chemicalJoint (building)Gas phaseSpectroscopyChemical physicsQuantumComputer scienceStatistical physicsPhysicsChemistryPhysical chemistryMoleculeBiologyEngineeringQuantum mechanicsCell biologyArchitectural engineeringMolecular Spectroscopy and StructureAtmospheric Ozone and ClimateSpectroscopy and Laser Applications
The first HyDRA challenge for computational vibrational spectroscopy | Litcius