Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Robin Gaumard"'
Autor:
Robin Gaumard, Dominik Dragún, Jesús N. Pedroza-Montero, Bruno Alonso, Hazar Guesmi, Irina Malkin Ondík, Tzonka Mineva
Publikováno v:
Computation, Vol 10, Iss 5, p 74 (2022)
Machine learning approaches can drastically decrease the computational time for the predictions of spectroscopic properties in materials, while preserving the quality of the computational approaches. We studied the performance of kernel-ridge regress
Externí odkaz:
https://doaj.org/article/e67f7bd521714775ba79f9ecd2482923
Autor:
Lucie Desmurs, Claudia Cammarano, Gaetan Ramona, Robin Gaumard, Tzonka Mineva, Alexander Sachse, Jean‐Dominique Comparot, Thomas Cacciaguerra, Didier Cot, Olinda Gimello, Anne Galarneau, Vasile Hulea
Publikováno v:
ChemCatChem.
Autor:
Sonia Milena Aguilera-Segura, Dominik Dragún, Robin Gaumard, Francesco Di Renzo, Irina Malkin Ondík, Tzonka Mineva
Publikováno v:
Physical chemistry chemical physics : PCCP. 24(15)
Advanced solid-state and liquid-state nuclear magnetic resonance (NMR) approaches have enabled high throughput information about functional groups and types of bonding in a variety of lignin fragments from degradation processes and laboratory synthes