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Artificial intelligence design of molecular nano-magnets and molecular qubits

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

A Multireference Picture of Electronic Excited States in Vanadyl and Copper Tetraphenyl Porphyrin Molecular Qubits (opens in new window)

Author(s): Arup Sarkar, Alessandro Lunghi
Published in: The Journal of Physical Chemistry A, Issue 129, 2025, Page(s) 7160-7169, ISSN 1089-5639
Publisher: American Chemical Society
DOI: 10.1021/acs.jpca.5c03946

Computational design of magnetic molecules and their environment using quantum chemistry, machine learning and multiscale simulations (opens in new window)

Author(s): Alessandro Lunghi; Stefano Sanvito
Published in: Nature Reviews Chemistry, 2022, Page(s) 761–781, ISSN 2397-3358
Publisher: Springer Nature
DOI: 10.1038/s41570-022-00424-3

Generating New Coordination Compounds via Multireference Simulations, Genetic Algorithms, and Machine Learning: The Case of Co(II) and Dy(III) Molecular Magnets (opens in new window)

Author(s): Lion Frangoulis, Zahra Khatibi, Lorenzo A. Mariano, Alessandro Lunghi
Published in: JACS Au, Issue 5, 2025, Page(s) 3808-3821, ISSN 2691-3704
Publisher: American Chemical Society (ACS)
DOI: 10.1021/jacsau.5c00502

The critical role of ultra-low-energy vibrations in the relaxation dynamics of molecular qubits (opens in new window)

Author(s): E. Garlatti, A. Albino, S. Chicco, V. H. A. Nguyen, F. Santanni, L. Paolasini, C. Mazzoli, R. Caciuffo, F. Totti, P. Santini, R. Sessoli, A. Lunghi and S. Carretta
Published in: Nature Communications, 2023, Page(s) 1653, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-023-36852-y

Charting Regions of Cobalt’s Chemical Space with Maximally Large Magnetic Anisotropy: A Computational High-Throughput Study (opens in new window)

Author(s): Lorenzo A. Mariano, Vu Ha Anh Nguyen, Valerio Briganti, Alessandro Lunghi
Published in: Journal of the American Chemical Society, Issue 146, 2024, Page(s) 34158-34166, ISSN 0002-7863
Publisher: American Chemical Society
DOI: 10.1021/jacs.4c14076

Spin-Vibronic Dynamics in Open-Shell Systems beyond the Spin Hamiltonian Formalism (opens in new window)

Author(s): Lorenzo A. Mariano, Sourav Mondal, Alessandro Lunghi
Published in: Journal of Chemical Theory and Computation, Issue 20, 2024, Page(s) 323-332, ISSN 1549-9618
Publisher: American Chemical Society
DOI: 10.1021/acs.jctc.3c01130

A Complete Ab Initio View of Orbach and Raman Spin-Lattice Relaxation in a Dysprosium Coordination Compound. (opens in new window)

Author(s): Matteo Briganti; Fabio Santanni; Lorenzo Tesi; Federico Totti; Roberta Sessoli; Alessandro Lunghi
Published in: Journal of the American Chemical Society, Issue 1, 2021, ISSN 1520-5126
Publisher: American Chemical Society
DOI: 10.48550/arxiv.2105.06953

Unraveling the Contributions to Spin–Lattice Relaxation in Kramers Single-Molecule Magnets (opens in new window)

Author(s): Sourav Mondal; Alessandro Lunghi
Published in: The Journal of the American Chemical Society, Issue 1, 2022, Page(s) 22965-22975, ISSN 1520-5126
Publisher: American Chemical Society
DOI: 10.1021/jacs.2c08876

Predicting tensorial molecular properties with equivariant machine-learning models (opens in new window)

Author(s): Vu Ha Anh Nguyen; Alessandro Lunghi
Published in: Physical Review B, Issue 1, 2022, ISSN 2469-9969
Publisher: American Physical Society
DOI: 10.48550/arxiv.2202.01449

Role of Electron Correlation beyond the Active Space in Achieving Quantitative Predictions of Spin-Phonon Relaxation (opens in new window)

Author(s): Soumi Haldar, Lorenzo A. Mariano, Alessandro Lunghi, Laura Gagliardi
Published in: Journal of Chemical Theory and Computation, Issue 21, 2025, Page(s) 2829-2838, ISSN 1549-9618
Publisher: American Chemical Society
DOI: 10.1021/acs.jctc.4c01696

The mechanism of spin-phonon relaxation in endohedral metallofullerene single molecule magnets (opens in new window)

Author(s): Tanu Sharma, Rupesh Kumar Tiwari, Sourav Dey, Lorenzo A. Mariano, Alessandro Lunghi, Gopalan Rajaraman
Published in: Chemical Science, Issue 16, 2025, Page(s) 13012-13021, ISSN 2041-6520
Publisher: Royal Society of Chemistry
DOI: 10.1039/d4sc07786e

The role of electronic excited states in the spin-lattice relaxation of spin-1/2 molecules (opens in new window)

Author(s): Lorenzo A. Mariano, Vu Ha Anh Nguyen, Jonatan B. Petersen, Magnus Björnsson, Jesper Bendix, Gareth R. Eaton, Sandra S. Eaton, Alessandro Lunghi
Published in: Science Advances, Issue 11, 2025, ISSN 2375-2548
Publisher: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/sciadv.adr0168

Efficient Generation of Stable Linear Machine-Learning Force Fields with Uncertainty-Aware Active Learning (opens in new window)

Author(s): Briganti, Valerio; Lunghi, Alessandro
Published in: Machine Learning: Science and Technology, Issue 1, 2023, Page(s) 035005, ISSN 2632-2153
Publisher: Institute of Physics
DOI: 10.1088/2632-2153/ace418

Spin-phonon decoherence in solid-state paramagnetic defects from first principles (opens in new window)

Author(s): Sourav Mondal; Alessandro Lunghi
Published in: npj Computational Materials, 2023, ISSN 2057-3960
Publisher: Springer Nature
DOI: 10.1038/s41524-023-01082-9

Toward exact predictions of spin-phonon relaxation times: An ab initio implementation of open quantum systems theory (opens in new window)

Author(s): Alessandro Lunghi
Published in: Science Advances, Issue 1, 2022, ISSN 2375-2548
Publisher: Science Advances
DOI: 10.1126/sciadv.abn7880

The Spin-Phonon Relaxation Mechanism of Single-Molecule Magnets in the Presence of Strong Exchange Coupling (opens in new window)

Author(s): Sourav Mondal, Julia Netz, David Hunger, Simon Suhr, Biprajit Sarkar, Joris van Slageren, Andreas Köhn, Alessandro Lunghi
Published in: ACS Central Science, Issue 11, 2025, Page(s) 550-559, ISSN 2374-7943
Publisher: American Chemical Society (ACS)
DOI: 10.1021/acscentsci.4c02139

A machine-learning framework for accelerating spin-lattice relaxation simulations (opens in new window)

Author(s): Valerio Briganti, Alessandro Lunghi
Published in: npj Computational Materials, Issue 11, 2025, ISSN 2057-3960
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/s41524-025-01547-z

Spin-Phonon Relaxation in Magnetic Molecules: Theory, Predictions and Insights (opens in new window)

Author(s): Lunghi, Alessandro
Published in: Computational Modelling of Molecular Nanomagnets, Issue 1, 2023, Page(s) 219-289, ISSN 2542-4483
Publisher: Springer
DOI: 10.1007/978-3-031-31038-6_6

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