Titolo della tesi

Machine learning of molecular motifs in soft supramolecular systems

Tutori

• Giovanni Maria Pavan

• Lionello, Chiara; Perego, Claudio; Gardin, Andrea; Klajn, Rafal; Pavan, Giovanni M. (2023)
  Supramolecular Semiconductivity through Emerging Ionic Gates in Ion–Nanoparticle Superlattices. In: ACS NANO, vol. 17, pp. 275-287. ISSN 1936-086X
  Contributo su Rivista
• Gardin, Andrea; Perego, Claudio; Doni, Giovanni; Pavan, Giovanni M. (2022)
  Classifying soft self-assembled materials via unsupervised machine learning of defects. In: COMMUNICATIONS CHEMISTRY, vol. 5. ISSN 2399-3669
  Contributo su Rivista
• Bian, T.; Gardin, A.; Gemen, J.; Houben, L.; Perego, C.; Lee, B.; Elad, N.; Chu, Z.; ... (2021)
  Electrostatic co-assembly of nanoparticles with oppositely charged small molecules into static and dynamic superstructures. In: NATURE CHEMISTRY, vol. 13, pp. 940-949. ISSN 1755-4330
  Contributo su Rivista
• Lionello, C.; Gardin, A.; Cardellini, A.; Bochicchio, D.; Shivrayan, M.; Fernandez, A.; ... (2021)
  Toward Chemotactic Supramolecular Nanoparticles: From Autonomous Surface Motion following Specific Chemical Gradients to Multivalency-Controlled Disassembly. In: ACS NANO, vol. 15, pp. 16149-16161. ISSN 1936-0851
  Contributo su Rivista
• De Marco, A. L.; Bochicchio, D.; Gardin, A.; Doni, G.; Pavan, G. M. (2021)
  Controlling Exchange Pathways in Dynamic Supramolecular Polymers by Controlling Defects. In: ACS NANO, vol. 15, pp. 14229-14241. ISSN 1936-0851
  Contributo su Rivista