PICS Colloquium: Complex Polymer Design in the Age of AI: Why, What, and How?
Polymers are essential to a wide range of technologies, yet designing them with targeted structural and functional properties remains a grand challenge. A major opportunity lies in applying machine learning […]
PICS Colloquium: Enabling computationally efficient first-principles kinetic simulations in nanoporous catalysts using machine learning and data science with Brandon Bukowski
Machine learning tools have tremendous potential to accelerate computationally complex physics-based simulations. One example is the need to accelerate materials discovery through first-principles Density Functional Theory (DFT) calculations. This seminar […]
MEAM Seminar: “Digital Twins for the Earth System”
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this […]
MEAM Seminar: “Digital Twin Development using Physics-Informed Neural Operators”
Digital twins are virtual models of physical systems that allow for more computationally cost-effective evaluation and optimization. Building digital twins often involves machine learning techniques that integrate data with underlying […]
PICS Colloquium: Mean flow and turbulence in unsteady urban canopy flows
Advancing the current understanding and capability to predict atmospheric flow and related transport in urban areas is critical for many applications, including air quality modeling, urban climate, pedestrian comfort and […]
PICS Colloquium: Combining High-Throughput Workflows, Quantum Chemistry, and AI for the Discovery of Tunable Materials with Unprecedented Properties
The solutions to many of society’s most pressing problems rely on the discovery of materials with unprecedented physical and chemical properties that are tailored to an application of interest. Typically, […]
PICS Colloquium: Motion-based rules and solitary waves: ameloblasts and birds
Information is usually expected to propagate across a population of active agents such as living cells or birds in a diffusive manner. Yet waviness in the microstructure of dental enamel […]
BE/PICS Joint Seminar: Uma Balakrishnan and Kunal Poorey, Sandia National Laboratories
These talks will be held jointly, with each talk 30 minutes each (1 hour total). Talk 1: “Optimizing Anomaly Detection for GenAI based Digital Twins of Wearable Data” (Uma Balakrishnan) […]
MEAM Ph.D. Thesis Defense: “Computational Fluid-Structure Interaction Modeling of the Cardiovascular System”
Patient-specific computational modeling and simulation has become a routine part of cardiovascular clinical research. These techniques leverage medical imaging to construct subject-specific models that can be used to study disease […]
MEAM Seminar: “Computational FSI Modeling of the Cardiovascular System”
Computational modeling and simulation has become a routine part of cardiovascular clinical research. These techniques leverage medical imaging to construct patient-specific models that can be used to study disease processes, […]