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 …
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 …
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 …
orbital-free framework of alchemical perturbation density functional theory (APDFT). Within …
Acceleration of catalyst discovery with easy, fast, and reproducible computational alchemy
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 …
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 …
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 …
quickly and accurately estimating deprotonation energies. We have considered all possible …
Machine learning corrected alchemical perturbation density functional theory for catalysis applications
Alchemical perturbation density functional theory (APDFT) has promise for enabling
computational screening of hypothetical catalyst sites. Here, we analyze errors in first order …
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 …
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 …
alchemical perturbation density functional theory (APDFT). APDFT refers to perturbation …
[HTML][HTML] Evaluating quantum alchemy of atoms with thermodynamic cycles: Beyond ground electronic states
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 …
screening thereof will require the development of new computational methods that are …