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Turning gold standard quantum chemistry into a routine simulation tool: predictive properties for large molecular systems

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Basis-Set Limit CCSD(T) Energies for Large Molecules with Local Natural Orbitals and Reduced-Scaling Basis-Set Corrections (opens in new window)

Author(s): Dávid Mester, Péter R. Nagy, Mihály Kállay
Published in: Journal of Chemical Theory and Computation, Issue 20, 2024, ISSN 1549-9618
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2024-RK909

Development of analytic gradients for the Huzinaga quantum embedding method and its applications to large-scale hybrid and double hybrid DFT forces (opens in new window)

Author(s): József Csóka, Bence Hégely, Péter R. Nagy, Mihály Kállay
Published in: The Journal of Chemical Physics, Issue 160, 2024, ISSN 0021-9606
Publisher: AIP Publishing
DOI: 10.26434/CHEMRXIV-2024-N4ZHB

Advanced computation of enthalpies for a range of hydroformylation reactions with a predictive power to match experiments (opens in new window)

Author(s): Tamara Papp, Péter R. Nagy, Tamás Kégl
Published in: Chemical Physics Letters, Issue 861, 2025, ISSN 0009-2614
Publisher: Elsevier BV
DOI: 10.26434/CHEMRXIV-2024-58B3H

Enabling Accurate and Large-Scale Explicitly Correlated CCSD(T) Computations via a Reduced-Cost and Parallel Implementation (opens in new window)

Author(s): Bence Ladóczki, László Gyevi-Nagy, Péter R. Nagy, Mihály Kállay
Published in: Journal of Chemical Theory and Computation, Issue 21, 2025, ISSN 1549-9618
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2025-T3Z9K

Combining state-of-the-art quantum chemistry and machine learning make gold standard potential energy surfaces accessible for medium-sized molecules (opens in new window)

Author(s): Apurba Nandi; Peter R. Nagy
Published in: Artificial Intelligence Chemistry, 2023, ISSN 2949-7477
Publisher: Elsevier
DOI: 10.26434/CHEMRXIV-2023-NJJN0

Nature Communications (opens in new window)

Author(s): Mirela Puleva; Leonardo Medrano Sandonas; Balázs Lőrincz; Jorge Charry; David M. Rogers; Péter R. Nagy; Alexandre Tkatchenko
Published in: Nature Communications, 2025, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.26434/CHEMRXIV-2025-F6615

Overview of Developments in the MRCC Program System (opens in new window)

Author(s): Dávid Mester, Péter R. Nagy, József Csóka, László Gyevi-Nagy, P. Bernát Szabó, Réka A. Horváth, Klára Petrov, Bence Hégely, Bence Ladóczki, Gyula Samu, Balázs D. Lőrincz, Mihály Kállay
Published in: The Journal of Physical Chemistry A, Issue 129, 2025, ISSN 1089-5639
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2025-BDHWF

Polarizable AMOEBA Model for Simulating Mg<sup>2+</sup>·Protein·Nucleotide Complexes (opens in new window)

Author(s): Julian M. Delgado, Péter R. Nagy, Sameer Varma
Published in: Journal of Chemical Information and Modeling, Issue 64, 2024, ISSN 1549-9596
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2023-BVNDW

Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments (opens in new window)

Author(s): Benjamin X. Shi, Andrea Zen, Venkat Kapil, Péter R. Nagy, Andreas Grüneis, Angelos Michaelides
Published in: Journal of the American Chemical Society, Issue 145, 2023, ISSN 0002-7863
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2023-H4CZL-V2

Journal of Chemical Physics (opens in new window)

Author(s): József Csóka; Bence Hégely; Péter R. Nagy; Mihály Kállay
Published in: The Journal of Chemical Physics, 2024, ISSN 0021-9606
Publisher: American Institute of Physics
DOI: 10.26434/CHEMRXIV-2024-N4ZHB

Journal of Chemical Theory and Computation (opens in new window)

Author(s): P. Bernát Szabó; József Csóka; Mihály Kállay; Péter R. Nagy
Published in: Journal of Chemical Theory and Computation, 2023, ISSN 1549-9618
Publisher: American Chemical Society
DOI: 10.48550/ARXIV.2311.10048

State-of-the-art local correlation methods enable affordable gold standard quantum chemistry for up to hundreds of atoms (opens in new window)

Author(s): Péter R. Nagy
Published in: Chemical Science, 2024, ISSN 2041-6539
Publisher: The Royal Society of Chemistry
DOI: 10.26434/CHEMRXIV-2024-XTCZV

Journal of the American Chemical Society (opens in new window)

Author(s): Shi, Benjamin X.; Zen, Andrea; Kapil, Venkat; Nagy, Péter R.; Grüneis, Andreas; Michaelides, Angelos
Published in: Journal of the American Chemical Society, 2023, ISSN 0002-7863
Publisher: American Chemical Society
DOI: 10.26434/CHEMRXIV-2023-H4CZL-V2

Advancing Non-Atom-Centered Basis Methods for More Accurate Interaction Energies: Benchmarks and Large-Scale Applications (opens in new window)

Author(s): Balázs D. Lőrincz, Péter R. Nagy
Published in: The Journal of Physical Chemistry A, Issue 128, 2024, ISSN 1089-5639
Publisher: American Chemical Society (ACS)
DOI: 10.26434/CHEMRXIV-2024-W71SS

Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications (opens in new window)

Author(s): P. Bernát Szabó, József Csóka, Mihály Kállay, Péter R. Nagy
Published in: Journal of Chemical Theory and Computation, Issue 19, 2023, ISSN 1549-9618
Publisher: American Chemical Society (ACS)
DOI: 10.48550/ARXIV.2311.10048

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