Research Topic

ab initio

7 publications exploring this topic

2024

2024
cited85

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential

Zhang S., Makoś M. Z., Jadrich R. B., Kraka E., Barros K., Nebgen B. T., Tretiak S., Isayev O., Lubbers N., Messerly R. A., Smith J. S.

Nature Chemistry, 16, 727–734 (2024)

Ml Potentials
Experiment Automation

Abstract Atomistic simulation has a broad range of applications from drug design to materials discovery.

DOI

2017

2017
cited558

Universal fragment descriptors for predicting properties of inorganic crystals

Isayev O., Oses C., Toher C., Gossett E., Curtarolo S., Tropsha A.

Nature Communications, 8 (2017)

Materials Informatics

AbstractAlthough historically materials discovery has been driven by a laborious trial-and-error process, knowledge-driven materials design can now be enabled by the rational combination of Machine Learning methods and materials databases.

DOI
2017
cited269

ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

Smith J. S., Isayev O., Roitberg A. E.

Scientific Data, 4 (2017)

Ml Potentials
Quantum Chemistry

AbstractOne of the grand challenges in modern theoretical chemistry is designing and implementing approximations that expedite ab initio methods without loss of accuracy.

DOI

2010

2010
cited25

New insight on structural properties of hydrated nucleic acid bases from ab initio molecular dynamics

Furmanchuk A., Shishkin O. V., Isayev O., Gorb L., Leszczynski J.

Physical Chemistry Chemical Physics, 12, 9945 (2010)

New insight on structural properties of hydrated nucleic acid bases from ab initio molecular dynamics.

DOI

2008

2008
cited97

Ab Initio Molecular Dynamics Study on the Initial Chemical Events in Nitramines: Thermal Decomposition of CL-20

Isayev O., Gorb L., Qasim M., Leszczynski J.

The Journal of Physical Chemistry B, 112, 11005–11013 (2008)

Ab Initio Molecular Dynamics Study on the Initial Chemical Events in Nitramines: Thermal Decomposition of CL-20.

DOI
2008
cited7

Efficient and accurate ab initio prediction of thermodynamic parameters for intermolecular complexes

Isayev O., Furmanchuk A., Gorb L., Leszczynski J.

Chemical Physics Letters, 451, 147–152 (2008)

Efficient and accurate ab initio prediction of thermodynamic parameters for intermolecular complexes.

DOI

2007

2007
cited41

Theoretical calculations: Can Gibbs free energy for intermolecular complexes be predicted efficiently and accurately?

Isayev O., Gorb L., Leszczynski J.

Journal of Computational Chemistry, 28, 1598–1609 (2007)

Quantum Chemistry
Ml Potentials

AbstractThe theoretical study has been performed to refine the procedure for calculations of Gibbs free energy with a relative accuracy of less than 1 kcal/mol.

DOI