Events

The Berkeley Campus is Open

Visit the UC Berkeley COVID-19 resources website for the latest testing and access information.  Cory and Soda Halls are open but we will likely have limited in-person/on-site staffing during the first two weeks of the Spring 2022 semester.  Although most classes will be conducted remotely during this time, we anticipate in-person instruction to resume on January 31st.

Sep30

Dissertation Talk: Robot Planning and Execution with Unreliable Models

730 (Newton Room) Sutardja Dai Hall
  • Ellis Ratner
Most robots rely on models to complete their tasks. These models enable the robot to predict how the environment changes, and what the robot will observe as a result of these changes, for any action it takes. Unfortunately, however, no model is perfect, and will invariably make wrong predictions. If the planner relies on those inaccurate predictions, the quality of the robot’s plan will suffer,...
Sep30

Engineering Polymeric Materials to Study Cancer Dynamics: Nano Seminar series

180 Tan Hall
  • Prof. Sarah Heilshorn, Stanford University, MSE & BioE & ChemE
Cell-induced matrix remodeling is a hallmark of both disease and regeneration. My lab develops biomaterials and matrix characterization methods to study these dynamic cell-matrix interactions. In designing our biomaterials, we employ protein engineering methods with simple polymer physics models to create biomimetic extracellular matrices for culture of patient-derived organoids. These...
Oct05

EECS Colloquium: When should we make our models continuous in time?

306 (HP Auditorium) Soda Hall
  • David Duvenaud, University of Toronto
The world is a continuous-time latent variable model, which makes such models a natural fit for all kinds of messy scientific data that comes at irregular intervals, such as patient records or astronomical observations. It has recently become more practical to use more sophisticated versions of such models, by using neural networks to aid in approximate inference. But practical use of such models...
Oct07

Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry and Nanoscience Applications: Nano Seminar series

180 Tan Hall
  • Prof. Teresa Head-Gordon, UC Berkeley, Chemistry / BioE / CBE
The combinatorial size of chemical molecule space, which compounds under variable synthetic, catalytic, and/or non-equilibrium conditions, is vast. This makes application of first principles quantum mechanical and advanced statistical mechanics sampling methods to identify binding motifs, conformational equilibria, and reaction pathways extremely challenging, even when considering better physical...
Oct14

Algorithm-Driven Paradigms for Freeform Photonic Metamaterials: Nano Seminar series

180 Tan Hall
  • Prof. Jonathan Fan, Stanford University, Electrical Engineering
In this talk, I will discuss advances in photonic engineering in which algorithmic approaches to device implementation unlock new functional capabilities for wavefront engineering. In the first part, I will discuss the utilization of freeform optimization for metamaterials in which non-local, multiple scattering dynamics enable new regimes of device efficiency and multi-functionality. These...
Oct21

Engineered Materials Evolution that Colored the Ancient World at the Submicron Scale, and Beyond: Nano Seminar series

180 Tan Hall
  • Prof. Ioanna Kakoulli, UCLA, MSE & Conservation
Invention and the processes of innovation in technology in ancient societies is revealed through surviving ancient engineered materials that played a significant role in human experience and life. Notable examples include the production of stable and durable colorants, such as ceramic pigments involving high heat treatment, namely Egyptian blue (CaCuSi4O10) and Chinese blue (BaCuSi4O10) employed...
Oct28

Engineering Phase Separation of Proteins in Cells: Nano Seminar series

180 Tan Hall
  • Prof. Allie Obermeyer, Columbia, Chemical Engineering
Protein de-mixing has been implicated in the organization of cellular components. These phase-separated membraneless compartments create distinct environments that are essential to cellular processes ranging from cell signaling to gene expression. Several membraneless organelles appear to have the same physical properties as complex coacervates – liquid-liquid phase separated mixtures of...
Nov04

Continuous Liquid Interface Production (CLIP): 3D Printing at the Intersection of Materials, Process and Design: Nano Seminar series

180 Tan Hall
  • Prof. Joseph M. DeSimone, Stanford University, ChemE & MSE & Business
The production of polymer products relies largely on age-old molding techniques. A major reason for this is that additive methods have not delivered meaningful alternatives to traditional processes—until now. In this talk, I will describe Continuous Liquid Interface Production (CLIP) technology, which embodies a convergence of advances in software, hardware, and materials to bring the digital...
Nov18

Dynamics and Control in Plasmonic, Meta, and Quantum Materials: Nano Seminar Series

180 Tan Hall
  • Prof. Richard Averitt, UC San Diego, Physics
A host of contemporary materials provide novel routes to manipulate and control light, broadly defined as spanning from microwave through visible wavelengths. Conversely, light can also be used to manipulate the properties of materials through resonant and non-resonant interactions enabling, as examples, the detection, modulation, and nonlinear manipulation of light. Moreover, dynamic and...
Dec02

Dissertation Talk: A Return to Application-Driven Design for Reliable and Usable Energy Harvesting Wireless Sensors

Zoom
  • Neal Jackson
With enough power, any problem becomes tractable. Since the inception of wireless sensor networks, researchers have continuously searched for ways to do more with less. Integrated circuits and MEMS sensors have continued to shrink in size, cost, and active and quiescent power. However, the energy density of non-rechargeable batteries has plateaued, constraining wireless sensor lifetimes....