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 physical laws. In this seminar, I'll explore two such techniques: Physics-Informed Neural Networks (PINNs) and operator learning. First, I'll discuss the formulation of PINNs and […]
Doctoral
Calendar of Events
S
Sun
|
M
Mon
|
T
Tue
|
W
Wed
|
T
Thu
|
F
Fri
|
S
Sat
|
---|---|---|---|---|---|---|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
2 events,
-
-
The Department of Bioengineering at the University of Pennsylvania and Dr. Peter Noel are pleased to announce the Doctoral Dissertation Defense of Leening Liu. Title: Spectral CT thermometry for real-time, non-invasive temperature monitoring of thermal ablation Date: November 4, 2024 Time: 2:00 PM Location: Reunion Auditorium, John Morgan Building Zoom info: Topic: Leening Liu's Dissertation Defense Time: November 4, […] |
1 event,
-
I would probably "forget" what I will say in the abstract, and you would, too. Translation: deep neural networks can "forget", meaning they might perform poorly on previously learned tasks when learning a new task. A major goal of the subject now known as deep continual learning is to address this issue. In order to […] |
1 event,
-
Abstract: The growing need to secure critical minerals for clean energy technologies, alongside the urgency to mitigate climate change, presents a unique opportunity to combine mineral recovery with carbon sequestration. This dissertation explores the potential of mine tailings as a dual-purpose feedstock, enabling both the extraction of critical minerals and the storage of CO₂ through […] |
0 events,
|
0 events,
|
0 events,
|
0 events,
|
2 events,
-
Despite substantial progress in robotics, achieving human-like manipulation remains a significant challenge. Existing robotic systems typically leverage human-inspired sensory modalities: vision, touch, and proprioception. However, these modalities are historically studied and integrated in isolation, leading to limited performance in complex real-world tasks that require sensing across multiple modalities for robust generalization. As a result, robots […]
-
Mobile robots have shown significant advancements in agility, intelligence, and efficiency over the past few decades. However, their endurance and overall performance remain limited by the onboard power supplies. Current power sources typically restrict mobile robots to areas close to the electrical grid and necessitate heavier batteries for extended range. Energy refueling could be significantly […] |
0 events,
|
1 event,
-
MEAM Ph.D. Thesis Defense: “Impulse-Induced Nonlinear Dynamics of Flexible Mechanical Metamaterials”
MEAM Ph.D. Thesis Defense: “Impulse-Induced Nonlinear Dynamics of Flexible Mechanical Metamaterials”
Mechanical metamaterials are artificially designed structures that exhibit unique properties due to their internal structure rather than their composition, e.g., negative Poisson’s ratio, tunable stiffness, and advanced thermal characteristics. While the static properties of mechanical metamaterials have been widely studied, their nonlinear dynamics remain largely unexplored, which could pave ways for innovative design and optimization […] |
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
1 event,
-
Machinery relies on lubrication to regulate friction and wear at contacting interfaces. As lubricants become less viscous to save energy and cost, and as new technologies like electric vehicles operate in harsher conditions, the risk of surface-initiated failure grows. We show that metal oxide nanocrystals (NCs) dispersed in lubricants form protective coatings, or tribofilms, in […] |
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|