[HTML][HTML] Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

E Epifanovsky, ATB Gilbert, X Feng, J Lee… - The Journal of …, 2021 - pubs.aip.org
This article summarizes technical advances contained in the fifth major release of the Q-
Chem quantum chemistry program package, covering developments since 2015. A …

[HTML][HTML] Perspective on integrating machine learning into computational chemistry and materials science

J Westermayr, M Gastegger, KT Schütt… - The Journal of Chemical …, 2021 - pubs.aip.org
Machine learning (ML) methods are being used in almost every conceivable area of
electronic structure theory and molecular simulation. In particular, ML has become firmly …

Theory+ AI/ML for microscopy and spectroscopy: Challenges and opportunities

D Unruh, VSC Kolluru, A Baskaran, Y Chen, MKY Chan - MRS Bulletin, 2022 - Springer
Advances in instrumentation for experimental characterization of materials such as
microscopy and spectroscopy have led to an explosion in information available on materials …

[HTML][HTML] Understanding X-ray absorption in liquid water using triple excitations in multilevel coupled cluster theory

SD Folkestad, AC Paul, R Paul, S Coriani… - Nature …, 2024 - nature.com
X-ray absorption (XA) spectroscopy is an essential experimental tool to investigate the local
structure of liquid water. Interpretation of the experiment poses a significant challenge and …

Bridging the gap between the X-ray absorption spectroscopy and the computational catalysis communities in heterogeneous catalysis: a perspective on the current …

R Rana, FD Vila, AR Kulkarni, SR Bare - ACS Catalysis, 2022 - ACS Publications
X-ray absorption spectroscopy (XAS)[extended X-ray absorption fine structure (EXAFS) and
X-ray absorption near-edge structure (XANES)] is a key technique within the heterogeneous …

Electron-affinity time-dependent density functional theory: Formalism and applications to core-excited states

K Carter-Fenk, LA Cunha… - The Journal of …, 2022 - ACS Publications
The lack of particle–hole attraction and orbital relaxation within time-dependent density
functional theory (TDDFT) lead to extreme errors in the prediction of K-edge X-ray …

Relativistic EOM-CCSD for Core-Excited and Core-Ionized State Energies Based on the Four-Component Dirac–Coulomb (− Gaunt) Hamiltonian

L Halbert, ML Vidal, A Shee, S Coriani… - Journal of Chemical …, 2021 - ACS Publications
We report an implementation of the core–valence separation approach to the four-
component relativistic Hamiltonian-based equation-of-motion coupled-cluster with singles …

On the choice of reference orbitals for linear-response calculations of solution-phase K-edge X-ray absorption spectra

K Carter-Fenk, M Head-Gordon - Physical Chemistry Chemical Physics, 2022 - pubs.rsc.org
The simplest response theory methods for computing vertical excitation spectra in
condensed-phase are configuration interaction with single excitations (CIS) and linear …

Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network

CD Rankine, TJ Penfold - The Journal of Chemical Physics, 2022 - pubs.aip.org
The affordable, accurate, and generalizable prediction of spectroscopic observables plays a
key role in the analysis of increasingly complex experiments. In this article, we develop and …

Unsupervised machine learning for unbiased chemical classification in X-ray absorption spectroscopy and X-ray emission spectroscopy

S Tetef, N Govind, GT Seidler - Physical Chemistry Chemical Physics, 2021 - pubs.rsc.org
We report a comprehensive computational study of unsupervised machine learning for
extraction of chemically relevant information in X-ray absorption near edge structure …