June 16, 2026
Molecular Dynamics (MD) simulations must solve Newton’s equations at the femtosecond scale to resolve atomistic vibrations. However, most phenomena of scientific interest occur at the micro to millisecond scale. This […]
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CBE Special Seminar: “How Trees Pull Water without Breaking It” (Matej Kanduč, Department of Theoretical Physics, Jožef Stefan Institute, Ljubljana, Slovenia)
June 16, 2026
Abstract: It may seem surprising that we can lower the pressure in a liquid to negative values, far below the saturated vapor pressure at which a vapor phase should form. […]
Read MoreBE Doctoral Dissertation Defense: Tina Thomas
June 16, 2026
The Department of Bioengineering at the University of Pennsylvania and Dr. Robert Levy are pleased to announce the Doctoral Dissertation Defense of Tina Thomas. Title: “Prevention of Structural Valve Degeneration […]
Read MoreESE Ph.D. Thesis Defense: “2D/3D Heterostructures & Ultrathin AlScN Devices for Emerging Applications in Memory & Space”
June 18, 2026
The semiconductor industry’s ever-growing demand for smaller device dimensions, better power efficiency and lower prices has pushed state of the art silicon-based computing technology to its physical limits. Ferroelectric non-volatile […]
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Events for March 20, 2025
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MSE Seminar: “Soft Microparticle Assemblies to MAP Scaffolds” Tatiana Segura – Duke University
Particle assemblies form interconnected pockets of empty space that are hot spots for activity in many applications and natural phenomenon that deal with particulate matter. In my lab we explore […]
ESE Spring Seminar – “Can Robots Learn from Machine Dreams? – Robot Learning via GenAI-powered World Models”
Over the past decade, large-scale pre-training followed by alignment has revolutionized natural language processing and computer vision. Yet, robotics remains constrained by the scarcity of real-world data. In this talk, […]
IDEAS/STAT Optimization Seminar: “Statistics-Powered ML: Building Trust and Robustness in Black-Box Predictions”
Zoom link: https://upenn.zoom.us/j/98220304722 Abstract: Modern ML models produce valuable predictions across various applications, influencing people’s lives, opportunities, and scientific advancements. However, these systems can fail in unexpected ways, generating unreliable […]
CIS Seminar: “AI for Materials Discovery: Graphs, Language Models, and Agents”
Artificial intelligence (AI) is transforming scientific discovery, particularly in materials science, by accelerating the prediction and design of materials with desired properties. Traditional physics-based modeling of atomic systems is computationally […]