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Molecules and materials for Energy and
Clean Technologies

Modelling, Data Analysis and AI

Modelling, Data Analysis and AI

Integration of DFT, molecular dynamics (MD), machine learning (ML) and artificial intelligence (AI) for:

  • Elucidating structure–property relationships in molecular, hybrid materials

LORENZO TOMASI – DANIELE VECLANI – FILIPPO MONTI – TAINAH DORINA MARFORIO

  • Drug discovery, risk assessment and nanomedicine design, including investigation of molecular interactions, prediction of biological responses, and optimisation of safety and performance profiles.

MARCO DANIELE PARENTI – DANIELE TEDESCO – LORENZO TOMASI – DANIELE VECLANI

  • Design sustainable chemical processes, enabling predictive analysis, selective detection and the development of green materials and process intensification strategies.

PAOLO DAMBRUOSO – DANIELE VECLANI