In the Computational Soft Matter group we work at the intersection of chemistry, biology, physics, and materials science, leveraging tools from statistical mechanics, continuum descriptions and high-performance computing.

Our goal is to understand the fundamental principles of the collective phenomena leading to controlled assembly and self-organization in soft matter, including biological materials.

We thank the following sponsors for supporting our research:

Recent Publications:

• Nanopatterning of Liquid–Liquid Interfaces by Mikto-Grafted Molecular Brush Polymers,
  Macromolecules 58, 9259 (2025).

• Nonequilibrium Solution-Based Assemblies from Bottlebrush Block Copolymers for Drug Delivery,
  ACS Nano 19, 18556 (2025).

• Multiblock Copolymers at Liquid–Liquid Interfaces: Effect of the Block Sequence on Interfacial Tension and Polymer Conformation,
  The Journal of Physical Chemistry B 129, 3041 (2025).