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Artificial Organic Chemistry Lab

Molecular catalysts and chemical reactions designed by artificial intelligence with the help of simulations, realized and tested utilizing automated lab protocols.

Our Team

The Pollice Research Group is committed to create an inclusive research environment where members feel safe and respected. We believe that diversity is an intrinsic and important part of the academic community and, therefore, we appreciate differences in backgrounds, experiences and perspectives, and facilitate them to help everyone in our team to reach their full potential in both scientific and non-scientific matters.

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Our Research

Our research interests rest on four main pillars. Our primary target is the design of molecular catalysts for organic reactions with the help of computers. To realize that, we combine the simulation of chemical reactions with lab automation for high-throughput experiments and artificial molecular design algorithms. This allows us to incorporate data-driven algorithms directly into our workflow enabling us to accelerate the discovery process.

Latest News

Group Activities

June 5, 2025

Members
Group Afternoon Summer 2025

On June 5, a bit earlier than usual, the group held its by now already traditional group afternoon in Groningen. Due to heavy rain in the afternoon, we canceled our planned boat trip in the city and enjoyed an afternoon of board games. In the evening, we enjoyed Vietnamese dinner. Afterwards, as the weather cleared up again, we continued our philosophical discussions at one of the city canals until nightfall. Unfortunately, we forgot to take pictures this time.

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June 2, 2025

Members
Gian-Michele joins

On June 2, Gian-Michele joined the group as a Postdoctoral Researcher. Gian-Michele will work on closed-loop optimization of molecules.

See bio

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June 2, 2025

Members
Supphachok joins

On June 2, Supphachok joined the group as a Postdoctoral Researcher. Supphachok will work on AI-assisted molecular simulations.

See bio

Social Media

Recent Papers

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June 9, 2025

Artificial Design
Studying Noncovalent Interactions in Molecular Systems with Machine Learning

S. Tretiakov*, A. Nigam, R. Pollice*

Chem. Rev. 2025, 125, 5776.

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February 5, 2025

Artificial Design
Developing Large Language Models for Quantum Chemistry Simulation Input Generation

P. F. Jacobs, R. Pollice*

Digit. Discov. 2025, 4, 762.

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December 24, 2024

Molecular Catalysis
Case studies of dimensionality in chemical data

A. Blokhuis*, R. Pollice*

Eur. J. Org. Chem. 2024, e202400949.