Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Prediction of Lewis acidity of borane derivatives with constrained ligands via Machine Learning
Prediction of Lewis acidity of borane derivatives with constrained ligands via Machine Learning
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Fenogli, Juliette
,
Grimaud, Laurence
,
Vuilleumier, Rodolphe
Format:
Recurso digital
Published:
Zenodo
2024
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.19164023
Similar Items
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
by: Fenogli, Juliette, et al.
Published: (2025)
Anharmonic phonons via quantum thermal bath simulations
by: Baird, Taylor, et al.
Published: (2025)
Predicting the Charge Density Response in Metal Electrodes
by: Grisafi, Andrea, et al.
Published: (2023)
Amorphous Nickel Nanofilms for Efficient Hydrogen Generation from ammonia borane
by: Yumei Chen, et al.
Published: (2024)
Tris(pentafluorophenyl)borane‐Catalyzed Functionalization of Benzylic C−F Bonds
by: Axel Hoppe, et al.
Published: (2024)