Seminars

Title: Data-Driven Turbulence Modeling and Simulation Abstract Turbulent fluid flows are characterized by a wide spectrum of spatial and temporal scales.Unfortunately, the cost of resolving these scales with Direct Numerical […]

Title: HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training Abstract Three valuable crop scouting use cases are to provide i) recommendations of optimum rate and timing of […]

Title: The “Fatal Flaw” in AI Policy & Governance, and a Simple Yet Strategic Framework that May Help Abstract Much of policy and governance for AI can be divided into […]

Title: A Surface-based Approach to Soft Robotics Abstract Typical robots are designed to achieve a single function in a controlled environment and lack the ability to generalize to new tasks. […]

Title: Data-driven Optimization of HVAC Systems to Balance Airborne Infection Risk and Energy Use Abstract During the COVID-19 global pandemic, significant attention was paid to how the operation of building […]

The Richard and Carol Pletcher Seminar Series and TrAC host Lucy Zhang Title: Non-intrusive Coupling Strategies for Multiphysics Simulations Abstract In this talk, I will discuss computational strategies for multiphysics systems. Multiphysics involve multiple physical behaviors to be coupled for inter-related responses. To obtain stable, effective, and accurate coupled numerical solutions is not trivial. Traditional […]

Title: Nonlocal Operator Learning is All You Need Abstract During the last 20 years there has been a lot of progress in applying neural networks (NNs) to many machine learning tasks. However, their employment in scientific machine learning with the purpose of learning complex responses of physical systems from experimental measurements has been explored much […]