Multiscale simulations

We apply multiscale simulations to understand, predict and optimise polymeric processes and materials.

We use quantum and atomistic scale simulations, including molecular dynamics and Monte Carlo methods, to explain observed phenomena and generate predictions that guide experimental work. At the reactor scale, simulations enable improved control and optimisation of polymerisation processes.
We currently investigate the reaction mechanisms in new stimuli-responsive polymers based on dynamic chemistry, the role of organocatalysts in polymerisation processes, redox processes in polymers for batteries and polymerisation kinetics. We also work on the molecular modelling of polymer blends to predict their miscibility and mechanical properties.

Research team

No hay miembros del personal disponibles.

Latest publications

Our team publishes its results in the world’s most prestigious scientific journals, contributing to the advancement of polymer science through excellence and international collaboration.

– The stochastic self-consistent harmonic approximation: calculating vibrational properties of materials with full quantum and anharmonic effects.
Lorenzo Monacelli, Raffaello Bianco, Marco Cherubini, Matteo Calandra, Ion Errea, and Francesco Mauri.

Journal of Physics: Condensed Matter 33, 363001 (2021)

Arvix versión | Public link

– The stochastic self-consistent harmonic approximation: calculating vibrational properties of materials with full quantum and anharmonic effects.
Lorenzo Monacelli, Raffaello Bianco, Marco Cherubini, Matteo Calandra, Ion Errea, and Francesco Mauri.

Journal of Physics: Condensed Matter 33, 363001 (2021)

Arvix versión | Public link

– The stochastic self-consistent harmonic approximation: calculating vibrational properties of materials with full quantum and anharmonic effects.
Lorenzo Monacelli, Raffaello Bianco, Marco Cherubini, Matteo Calandra, Ion Errea, and Francesco Mauri.

Journal of Physics: Condensed Matter 33, 363001 (2021)

Arvix versión | Public link

Latest doctoral theses

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Licensing opportunities

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