Ab initio machine learning in chemical compound space

B Huang, OA Von Lilienfeld - Chemical reviews, 2021 - ACS Publications
Chemical compound space (CCS), the set of all theoretically conceivable combinations of
chemical elements and (meta-) stable geometries that make up matter, is colossal. The first …

Automated in silico design of homogeneous catalysts

M Foscato, VR Jensen - ACS catalysis, 2020 - ACS Publications
Catalyst discovery is increasingly relying on computational chemistry, and many of the
computational tools are currently being automated. The state of this automation and the …

Atoms in molecules from alchemical perturbation density functional theory

GF von Rudorff, OA von Lilienfeld - The Journal of Physical …, 2019 - ACS Publications
Based on thermodynamic integration, we introduce atoms in molecules (AIM) using the
orbital-free framework of alchemical perturbation density functional theory (APDFT). Within …

Acceleration of catalyst discovery with easy, fast, and reproducible computational alchemy

CD Griego, JR Kitchin, JA Keith - International Journal of …, 2021 - Wiley Online Library
The expense of quantum chemistry calculations significantly hinders the search for novel
catalysts. Here, we provide a tutorial for using an easy and highly cost‐efficient calculation …

[HTML][HTML] Arbitrarily accurate quantum alchemy

GF von Rudorff - The Journal of Chemical Physics, 2021 - pubs.aip.org
Doping compounds can be considered a perturbation to the nuclear charges in a molecular
Hamiltonian. Expansions of this perturbation in a Taylor series, ie, quantum alchemy, have …

Rapid and accurate molecular deprotonation energies from quantum alchemy

GF von Rudorff, OA von Lilienfeld - Physical Chemistry Chemical …, 2020 - pubs.rsc.org
We assess the applicability of alchemical perturbation density functional theory (APDFT) for
quickly and accurately estimating deprotonation energies. We have considered all possible …

Machine learning corrected alchemical perturbation density functional theory for catalysis applications

CD Griego, L Zhao, K Saravanan, JA Keith - AIChE Journal, 2020 - Wiley Online Library
Alchemical perturbation density functional theory (APDFT) has promise for enabling
computational screening of hypothetical catalyst sites. Here, we analyze errors in first order …

Effects of perturbation order and basis set on alchemical predictions

G Domenichini, GF von Rudorff… - The Journal of chemical …, 2020 - pubs.aip.org
Alchemical perturbation density functional theory has been shown to be an efficient and
computationally inexpensive way to explore chemical compound space. We investigate …

Alchemical geometry relaxation

G Domenichini, OA von Lilienfeld - The Journal of Chemical Physics, 2022 - pubs.aip.org
We propose the relaxation of geometries throughout chemical compound space using
alchemical perturbation density functional theory (APDFT). APDFT refers to perturbation …

[HTML][HTML] Evaluating quantum alchemy of atoms with thermodynamic cycles: Beyond ground electronic states

EA Eikey, AM Maldonado, CD Griego… - The Journal of …, 2022 - pubs.aip.org
Due to the sheer size of chemical and materials space, high-throughput computational
screening thereof will require the development of new computational methods that are …