calcoloscientifico:risulati
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| calcoloscientifico:risulati [16/02/2024 10:23] – fausto.pagani | calcoloscientifico:risulati [06/08/2026 10:15] (versione attuale) – federico.prost | ||
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| The papers listed here describe results made possible in part by the support of the High Performance Computing facility of the University of Parma (HPC.unipr.it) ]]: | The papers listed here describe results made possible in part by the support of the High Performance Computing facility of the University of Parma (HPC.unipr.it) ]]: | ||
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| + | === 2026=== | ||
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| + | * Ni, G., Ferrari, D., Ho, L., Amoretti, M. Advanced scheduling strategies for distributed quantum computing jobs, Computer Networks, vol. 288, article 112622 (2026) https:// | ||
| + | * Belli, G., Mordacci, M., Amoretti, M., A Novel Single-Layer Quantum Neural Network for Approximate SRBB-Based Unitary Synthesis, Quantum Journal, 10, 2034 (2026) https:// | ||
| + | * Bandini, M., Ferrari, D., Carretta, S., Amoretti, M. Optimized Compilation for Distributed Quantum Computing, IEEE Access, 14, 97220-97231 (2026) https:// | ||
| + | * Belli, G., Amoretti, M. Exact Quantum State Preparation with the Standard Recursive Block Basis, Proc. of the 18th International Conference on Reversible Computation, | ||
| + | * Marco Tommaso Barreca, Francesco Di Maiolo; Light-controlled qubit coupling in organic diradicals linked by an MR-TADF emitter. J. Mater. Chem. C 2026; https:// | ||
| + | * Barreca, M. T.; Di Maiolo, F. Spin Coupling in Symmetric and Asymmetric Allyl and Phenalenyl Diradicals Bridged by an Inverted Singlet-Triplet System, J. Phys. Chem. A, (2026), DOI: | ||
| + | * Garrido-Rodríguez, | ||
| + | * Particle-Hole Symmetry Breaking in Nitrogen-Decorated Triphenylmethyl Radical Emitters Alessio Graziano Rizzo, Marco Tommaso Barreca, and Francesco Di Maiolo, The Journal of Physical Chemistry A (2026) DOI: 10.1021/ | ||
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| + | === 2025=== | ||
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| + | * Belli, G., Mordacci, M., Amoretti, M., SRBB-based Quantum State Preparation, | ||
| + | * Belli, G., Bersellini, A., Amoretti, M. Implementation of an Optimally Bounded Algorithm for Quantum State Preparation, | ||
| + | * Mordacci, M, Amoretti, M. Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks, Proc. of the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, | ||
| + | * Mordacci, M, Amoretti, M. Training Variational Quantum Circuits Using Particle Swarm Optimization, | ||
| + | * Mordacci, M., Pandey, M., Santini, P., Amoretti, M. Triplet Loss Based Quantum Encoding for Class Separability, | ||
| + | * Lorenzo Savi, Marco Tommaso Barreca, Matteo Bedogni, and Francesco Di Maiolo, Journal of Chemical Theory and Computation (2025) DOI: 10.1021/ | ||
| + | * Marco Malatesta ,Carlo De Rito, | ||
| + | * Skonieczny, K.†; Di Maiolo, F.†; Venturi, S.†; Iagatti, A.; Ricci, A.; Bertocchi, F.; Gryko, D. T.*; Lapini, A.* How nitro group position determines the emission properties of diketopyrrolopyrroles, | ||
| === 2024=== | === 2024=== | ||
| + | * Bertuzzi, A., Ferrari, D., Manzalini, A., Amoretti, M. Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization, | ||
| + | * Mordacci, M., Ferrari, D., Amoretti, M. Multi-Class Quantum Convolutional Neural Networks, Proc. of the 2024 Workshop on Quantum Search and Information Retrieval (QUASAR ’24), Pisa, Italy (2024) https:// | ||
| + | * Matteo Dubbini, Federico Bonvini, Lorenzo Savi, and Francesco Di Maiolo; Turning on Organic Radical Emitters; The Journal of Physical Chemistry C; DOI: 10.1021/ | ||
| + | * Andrea Landi, D. K. Andrea Phan Huu, and Anna Painelli; From the Fermi Golden Rule to Open Quantum Systems: Basic Concepts on Non-radiative Rates The Journal of Physical Chemistry C; DOI: 10.1021/ | ||
| + | * Bedogni, M.; Di Maiolo, F. " | ||
| + | * Di Maiolo, F.; Phan Huu, D. K. A.; Giavazzi, D.; Landi, A.; Racchi, O.; Painelli A. " | ||
| + | * Perugino F, Pedroni L, Galaverna G, Dall' | ||
| + | * Pedroni L, Perugino F, Magnaghi F, Dall’Asta C, Galaverna G, Dellafiora L. Free fatty acid receptors beyond fatty acids: A computational journey to explore peptides as possible binders of GPR120. Current Research in Food Science. Volume 8, 2024. doi: | ||
| * Battiston, P., Gamba, S., Santoro, A. (2024). Machine learning and the optimization of prediction-based policies. Technological Forecasting and Social Change, 199, 123080 | * Battiston, P., Gamba, S., Santoro, A. (2024). Machine learning and the optimization of prediction-based policies. Technological Forecasting and Social Change, 199, 123080 | ||
| * Bedini A, Elisi GM, Fanini F, Retini M, Scalvini L, Pasquini S, Contri C, Varani K, Spadoni G, Mor M, Vincenzi F, Rivara S. Binding and unbinding of potent melatonin receptor ligands: mechanistic simulations and experimental evidence. J. Pineal Res. 2024 76:e12941 | * Bedini A, Elisi GM, Fanini F, Retini M, Scalvini L, Pasquini S, Contri C, Varani K, Spadoni G, Mor M, Vincenzi F, Rivara S. Binding and unbinding of potent melatonin receptor ligands: mechanistic simulations and experimental evidence. J. Pineal Res. 2024 76:e12941 | ||
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| === 2023 === | === 2023 === | ||
| + | * Ferrari, D., Carretta, S., Amoretti, M. A Modular Quantum Compilation Framework for Distributed Quantum Computing, IEEE Trans. on Quantum Engineering, | ||
| * Arafet K, Scalvini L, Galvani F, Martí S, Moliner V, Mor M, Lodola A. Mechanistic modeling of Lys745 sulfonylation in EGFR C797S reveals chemical determinants for inhibitor activity and discriminates reversible from irreversible agents. J. Chem. Inf. Model. 2023 63, 1301-1312. | * Arafet K, Scalvini L, Galvani F, Martí S, Moliner V, Mor M, Lodola A. Mechanistic modeling of Lys745 sulfonylation in EGFR C797S reveals chemical determinants for inhibitor activity and discriminates reversible from irreversible agents. J. Chem. Inf. Model. 2023 63, 1301-1312. | ||
| * Galvani F, Pala D, Cuzzolin A, Scalvini L, Lodola A, Mor M, Rizzi A. Unbinding kinetics of muscarinic M3 receptor antagonists explained by metadynamics simulations. J. Chem. Inf. Model. 2023 63, 2842-2856. | * Galvani F, Pala D, Cuzzolin A, Scalvini L, Lodola A, Mor M, Rizzi A. Unbinding kinetics of muscarinic M3 receptor antagonists explained by metadynamics simulations. J. Chem. Inf. Model. 2023 63, 2842-2856. | ||
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| === 2022 === | === 2022 === | ||
| + | * Ferrari, D., Amoretti, M. Noise-adaptive quantum compilation strategies evaluated with application-motivated benchmarks, Proc. of the 19th ACM International Conference on Computing Frontiers, Turin, Italy (2022) https:// | ||
| * Elisi GM, Scalvini L, Lodola A, Mor M, Rivara S. Free-energy simulations support a lipophilic binding route for melatonin receptors. J. Chem. Inf. Model. 2022 62, 210-222. | * Elisi GM, Scalvini L, Lodola A, Mor M, Rivara S. Free-energy simulations support a lipophilic binding route for melatonin receptors. J. Chem. Inf. Model. 2022 62, 210-222. | ||
| * Galvani F, Scalvini L, Rivara S, Lodola A, Mor M. Mechanistic modeling of monoglyceride lipase covalent modification elucidates the role of leaving group expulsion and discriminates inhibitors with high and low potency. J. Chem. Inf. Model. 2022 62, 2771-2787. | * Galvani F, Scalvini L, Rivara S, Lodola A, Mor M. Mechanistic modeling of monoglyceride lipase covalent modification elucidates the role of leaving group expulsion and discriminates inhibitors with high and low potency. J. Chem. Inf. Model. 2022 62, 2771-2787. | ||
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