Note: in compliance with campus response to the omicron surge this talk will be done over zoom at this url: https://berkeley.zoom.us/j/94322395365?pwd=TDg5b0ZwRHR1eHZUSGlTY1RJa1pFZz09 Our group has recently demonstrated the rational design and experimental realization of graphene nanoribbon (GNR) superlattices that host a 1D array of symmetry-protected topological states, thus generating...

The BIDS Machine Learning and Science Forum meets biweekly to discuss current applications across a wide variety of research domains in the physical sciences and beyond. Find out more: here.

Join us for a tech talk with Samy Bengio, Senior Director of Machine Learning at Apple. Samy will provide an overview of Apple’s approach to ML research and a sample of ongoing research initiatives. You will also hear from ML researcher Tatiana Likhomanenko, about how to develop a research career in machine learning. The Machine Learning Research team focuses on ambitious, long-term...

Chemical recycling of polymers to monomer (CRM) is one of the most attractive methods to retain value in polymer materials during the recycling process. Polymers with low to moderate ceiling temperatures (Tc) are often employed in applications where recycling by depolymerization is desired. Polyacetals are a promising class of chemically recyclable polymers

As a textbook example of strongly correlated electron material, vanadium dioxide (VO2) features a metal-insulator transition (MIT) when temperature drops below 67oC. The physics of the MIT has challenged physicists for decades, while the potential of the MIT has inspired researchers for a wide range of applications. We have recently developed new applications of VO2 for smart regulation of...

Fung Fellowship applications due on Friday, February 18, 2022 Looking to work at the intersection of technology, design, public health and/or conservation? The Fung Fellowship is a unique opportunity for rising juniors and seniors to create impact-driven solutions to real-world challenges alongside our community and industry partners Express interest and learn more:...

Supramolecular biomaterials exploit rationally-designed non-covalent interactions to enable innovative approaches to drug formulation and delivery. Because of their dynamic and self-assembled nature, this class of biomaterials provides a facile route to the encapsulation and controlled delivery of active ingredients over extended timescales while being easily manufactured and deployed. The...

Pickering emulsions, or those stabilized by solid particles, provide a distinct template for the production of composite structures which combine the properties of the particles, the droplets, and any additional components such as polymer. This presentation will cover the use of Pickering emulsions stabilized by 2D particles (i.e., nanosheets) to prepare capsules with core of ionic liquid or...

Machine learning and artificial intelligence (ML/AI) are rapidly becoming an indispensable part of physics research, with domain applications ranging from theory and materials prediction to high-throughput data analysis. However, the constantly emerging question is how to match the correlative nature of classical ML with hypothesis-driven causal nature of physical sciences. In parallel, the...

An understanding of nanoscale materials transformations is significant for the synthesis and applications of nanostructured materials. At the atomic level, heterogeneity and fluctuations may play a governing role in the transformation processes. The recent development of high-resolution liquid cell transmission electron microscopy (TEM) has enabled breakthroughs in our ability to follow the...