Lead research combining AI-assisted synthesis and nanocrystal growth to develop nanoparticles with improved optical properties and optoelectronic devices. This permanent role is in the Nanoparticle Group at the Research Center for Materials Nanoarchitectonics. The expected start is 1 April 2027, negotiable. Applications and two recommendation letters are due 21 October 2026.
In Materials Science and Soft Matter
Seminar · Materials Science
Frustrated Self-Assembly of Non-Euclidean Crystals of Nanoparticles
Xioaming Mao · University of Michigan
Wed, Apr 14, 2021 · 08:00 UTC
Self-organized complex structures in nature, e.g., viral capsids, hierarchical biopolymers, and bacterial flagella, offer efficiency, adaptability, robustness, and multi-functionality. Can we program the self-assembly of three-dimensional (3D) complex structures using simple building blocks, and reach similar or higher level of sophistication in engineered materials? Here we present an analytic theory for the self-assembly of polyhedral nanoparticles (NPs) based on their crystal structures in non-Euclidean space. We show that the unavoidable geometrical frustration of these particle shapes, co
Seminar · Biophysics
Adhering, wrapping, and bursting of lipid bilayer membranes: understanding effects of membrane-binding particles and polymers
Anthony Dinsmore · University of Massachusettes Amherst
Wed, Sep 30, 2020 · 08:00 UTC
Proteins and membranes form remarkably complex structures that are key to intracellular compartmentalization, cargo transport, and cell morphology. Despite this wealth of examples in living systems, we still lack design principles for controlling membrane morphology in synthetic systems. With experiments and simulations, we show that even the simple case of spherical or rod-shaped nanoparticles binding to lipid-bilayer membrane vesicles results in a remarkably rich set of morphologies that can be reliably controlled via the particle binding energy. When the binding energy is weak relative to a