📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Accurate, Affordable, and Generalisable Machine Learning Simulations of Transition Metal X-ray Absorption Spectra using the XANESNET Deep Neural Network (2022)

First Author: Rankine C

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.26434/chemrxiv-2022-c5xgb

Publication URI: http://dx.doi.org/10.26434/chemrxiv-2022-c5xgb

Type: Preprint