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Dr. Alessandro Lunghi

Assistant Professor (Physics)

 lunghia@tcd.ie

 


Biography

After a BSc and a MSc in Chemistry, Alessandro was awarded a PhD from the University of Florence, Italy, in 2016. He then moved to the School of Physics at Trinity College Dublin, where he began his postdoc activity in the group of Prof. Sanvito. His research interests lie at the boundary between spin relaxation theory, quantum science, and machine learning for new materials design. In 2020 he was awarded an ERC Starting Grant to pursue his own research vision. Alessandro is now leading a growing research group that works in the development of artificial intelligence methods for the design of new magnetic molecules for quantum technologies. Since February 2021 he holds the positions of Assistant Professor in Physics at Trinity College Dublin and of Funded Investigator at the Amber Research Centre.

Research Tags

  AB INITIO QUANTUM CHEMICAL METHODS AND CALCULATIONS   Magnetism and spin electronics   quantum coherence   QUANTUM-SYSTEMS   SPIN DYNAMICS   SPIN LATTICE RELAXATION

Research Projects

 Computational design of Gadolinium-based paramagnetic contrast agents

Representations

Details Date
External examiner for a PhD thesis from the University of Manchester
I served as editor for a special issue in the society-driven journal Magnetochemistry. https://www.mdpi.com/journal/magnetochemistry/special_issues/Computational_Modelling_Magnetic_Molecules_Materials
PhD thesis reader for the University of Melbourne
I am a member of the Users Council of ICHEC (Irish centre for high-end computing)
External PhD thesis reviewer for the University of Florence
I served as an external reviewer for a PhD thesis from the Department of Physics of the University of Parma
Grant application reviewer for the following funding agencies: Labex Nie Strasburg; Czech Science Foundation; Swiss National Science Foundation; Royal Society; USA Department of Energy
Reviewer for the following journals: Proceeding of the National Academy of Science; Science Advances; Nature Chemistry; Nature Nanotechnology; Nature Communications; npj Computational Materials; npj Quantum Information; Chemical Science; Chemical Communications; Physical Chemistry Chemical Physics; RSC Advances; New Journal of Chemistry; The Journal of the American Chemical Society; The Journal of Physical Chemistry; The Journal of Physical Chemistry Letters; Inorganic Chemistry; Advanced Quantum Technology; The Journal of Chemical Physics; Europhysics Letters, and more.

Languages

Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Italian Fluent Fluent Fluent

Memberships

Membership of Professional Institutions, Associations, Societies

Details Date From Date To
Royal Society of Chemistry 2024 2025
Mariano L.A., Mondal S., Lunghi A., Spin-Vibronic Dynamics in Open-Shell Systems beyond the Spin Hamiltonian Formalism, Journal of Chemical Theory and Computation, 20, (1), 2024, p323 - 332, p323-332 , Journal Article, PUBLISHED  DOI
Fitzpatrick A., Nykanen A., Talarico N.W., Lunghi A., Maniscalco S., Garcia-Perez G., Knecht S., Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive, Journal of Physical Chemistry A, 128, (14), 2024, p2843 - 2856, p2843-2856 , Journal Article, PUBLISHED  DOI
Aaron Fitzpatrick, Anton Nykänen, N. Walter Talarico, Alessandro Lunghi, Sabrina Maniscalco, Guillermo García-Pérez, Stefan Knecht, Self-Consistent Field Approach for the Variational Quantum Eigensolver: Orbital Optimization Goes Adaptive, The Journal of Physical Chemistry A, 128, (14), 2024, p2843-2856 , Journal Article, PUBLISHED
Lorenzo A. Mariano, Sourav Mondal, Alessandro Lunghi, Spin-Vibronic Dynamics in Open-Shell Systems beyond the Spin Hamiltonian Formalism, Journal of Chemical Theory and Computation, 20, (1), 2024, p323-332 , Journal Article, PUBLISHED
Spin-Phonon Relaxation in Magnetic Molecules: Theory, Predictions and Insights in, Springer International Publishing, 2023, pp219-289 , [Lunghi, Alessandro], Book Chapter, PUBLISHED  DOI
Garlatti, E., Albino, A., Chicco, S., Nguyen, V. H. A., Santanni, F., Paolasini, L., Mazzoli, C., Caciuffo, R., Totti, F., Santini, P., Sessoli, R., Lunghi, A., Carretta, S., The critical role of ultra-low-energy vibrations in the relaxation dynamics of molecular qubits, Nature Communications, 14, (1), 2023, Journal Article, PUBLISHED  DOI
Dong, R., Lunghi, A., Sanvito, S., Stiffness and atomic-scale friction in superlubricant MoS2 bilayers, The Journal of Physical Chemistry Letters, 14, (26), 2023, 6086"6091 , Journal Article, PUBLISHED  TARA - Full Text  DOI
Mondal, Sourav, Lunghi, Alessandro, Spin-phonon decoherence in solid-state paramagnetic defects from first principles, npj Computational Materials, 9, (1), 2023, Journal Article, PUBLISHED  DOI
Briganti, Valerio, Lunghi, Alessandro, Efficient generation of stable linear machine-learning force fields with uncertainty-aware active learning, Machine Learning: Science and Technology, 4, (3), 2023, p035005 , Journal Article, PUBLISHED  DOI
Allen, M. and Bediako, K. and Bowman, W.J. and Calabrese, M. and Caretta, L. and Cersonsky, R.K. and Chen, W. and Correa, S. and Davidson, R. and Dresselhaus-Marais, L. and Eisler, C.N. and Furst, A. and Ge, T. and Hook, A. and Hsu, Y.-T. and Jia, C. and Lu, J. and Lunghi, A. and Messina, M.S. and Moreno-Hernandez, I.A. and Nichols, E. and Rao, R. and Seifrid, M. and Shulenberger, K.E. and Simonov, A.N. and Su, X. and Swearer, D.F. and Tang, E. and Taylor, M.K. and Tran, H. and Trindade, G.F. and Truby, R. and Utzat, H. and Yang, Y. and Yee, D.W. and Zhao, S. and Cranford, S., 35+1 challenges in materials science being tackled by PIs under 35(ish) in 2023, Matter, 6, (8), 2023, p2480-2487 , Notes: [cited By 1], Journal Article, PUBLISHED  DOI
  

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Awards and Honours

Award Date
Intel Rising Star Award 2022
ADocMolMag award for the best PhD thesis in molecular magnetism