Mazziotti Group

The Mazziotti group pursues research in many-electron theory and computation to advance our ability to understand and predict molecular structure and processes.

Strongly Correlated Phenomenon

We study how entanglement drives energy transport and emergent behavior, revealing phenomena such as partial exciton condensation in biological and synthetic systems.

Electronic Structure Methods

We develop scalable methods that solve the electronic structure problem using the two-electron reduced density matrix, enabling accurate predictions in strongly correlated molecules and materials.

Quantum Computing

Our group designs quantum algorithms that leverage reduced density matrices to achieve efficient and accurate molecular simulations on current and future quantum computers.

Machine Learning

We use physics-informed machine learning to improve energy predictions, reduce many-electron problems to two-electron representations, and accelerate quantum algorithms.

Who We Are

We are dedicated to training graduate students, postdoctoral researchers, and undergraduates to tackle the grand scientific challenges of molecules and materials in chemistry and physics. Our group emphasizes close mentorship, individualized attention, and a collaborative environment that supports bold, transformative research. We value both collaboration among group members and partnerships with experimental teams across chemistry, physics, biology, and engineering. We are committed to preparing the next generation of leaders in academia, government, and industry through work that advances science and benefits society.

📰 Group News

South Side Science Fest!

Oct 3, 2026

The group had a blast teaching science at the 2026 South Side Science Festival! This year the group demonstrated molecular connectivity with marshmallows and spaghetti, as well as gave an interactive demonstration of air molecules through augmented reality!