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Droplets under Extreme Conditions: A shocking story Abstract I will first present a portable setup to generate shock waves using the exploding wire technique. Subsequently, I will showcase how droplets of various kinds (liquid metal, water, and polymeric liquids) interact and breakup in the shock wave and associated flow. I will also show the various instabilities that develop prior to breakup that […] Keywords: |
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Prof. Anna Tarakanova Receives a $3M RO1 Grant From the National Institutes of Health by Joanna Giano, Written Communications Assistant Researchers from the School of Mechanical, Aerospace, and Manufacturing Engineering in UConn’s College of Engineering, pursue groundbreaking research to understand the impact of aging-related physicochemical modifications on the structure and function of elastin, a vital protein that imparts elasticity and recoil function to many connective tissues in the human […] Keywords: |
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Mechanistic Interactions at Scale in Energy Storage Abstract: Advances in electrical energy storage systems are critical for vehicle electrification, renewable energy integration into the electric grid, and electric aviation. Recent years have witnessed an urgent need to accelerate innovation toward realizing improved and safe utilization of high energy and power densities, for example, in lithium-ion and advanced battery chemistries. These are complex, […] Keywords: |
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On the Unsteady Interaction between Turbulence and Structures/Canopies Abstract: The characterization and quantification of the coupling between flow and flexible structures and dominant oscillation modes remain open problems. Environmental science, energy, structural design, and locomotion applications require a comprehensive understanding of these phenomena. Canopy flows, encompassing extensive arrays of rigid or flexible structures, hold significant interest. Ubiquitous in natural environments and spanning multiple […] Keywords: |
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From physics to machine learning and back: Applications to fault diagnostics and prognostics Abstract: Deep learning approaches have become crucial tools across numerous engineering domains. However, they face various challenges, as they typically depend on representative data and large training datasets. Conversely, condition monitoring data for complex systems often lacks labels and representativeness, posing significant challenges for purely data-driven approaches. Additionally, deep learning models generally struggle in extrapolation […] Keywords: |
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Prof. Thanh Nguyen Named to the National Academy of Inventors List Prof. Nguyen’s research focuses on developing new technology that can make a tangible impact on improving human lives. He currently has 18 patents in prosecution, 6 issued patents, and has launched two startup companies. Keywords: |
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Explainable AI for Trustworthy IIoT-Based Management of Industrial Equipment Abstract: Artificial Intelligence has the potential to simplify complex tasks in industrial asset management, such as predicting equipment failure based on IIoT-collected vibration data. This presentation aims to demystify how IIoT and AI can better manage machinery and reduce equipment downtime. We will not only explore how IIoT-backed AI can help predict, identify, and rectify […] Keywords: |
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Two-Phase Transport in Proton Exchange Membrane Fuel Cells Abstract: Water management is one of the most critical issues in proton exchange membrane fuel cells (PEMFCs). The water generated in catalyst layer as a product of the electrochemical reaction is mainly transported through porous media by diffusion if it’s vapor, or by capillarity in case of liquid. In flow channels, the liquid water is […] Keywords: |
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Laser-Induced Spark Ignition in Rocket Engines Abstract: The 9-month journey home from Mars could begin with a 9 ns laser pulse. Ignition in rocket combustors is typically accomplished using a spark plug, a pyrotechnic charge, an injection of hypergolic fluid, or a hot gas torch. These methods involve significant mechanical complexity, increase the inert mass with ancillary subsystems, limit the potential […] Keywords: |
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On-chip Microheaters for Programmable Phase-Change Photonics Abstract: Chalcogenide phase change materials (PCMs) have promising properties for photonic applications thanks to their nonvolatile and large refractive index modulation [1]. The last decade has seen a growing interest in such a combination of properties for a variety of nonvolatile programmable devices, such as metasurfaces, tunable filters, phase/amplitude modulators, color pixels, thermal camouflage, photonic […] Keywords: |
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George Matheou’s Art on Display at the National Academy of Sciences by Olivia Drake – UConn College of Engineering Clouds strongly interact with solar radiation and as a result small changes in cloud cover have big impact on the Earth’s surface temperature. Currently, the effects of clouds are one of the largest sources of uncertainty in climate projections. Recent computer technology, however, is enabling scientists […] Keywords: |
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Abstract: Aerosol particles are ever-present in both natural environments, and in engineered systems. In large part, control over aerosol particle transport hinges upon control of particle inertia, i.e. the propensity of particles to maintain a particular trajectory whilst the surrounding fluid moves in a distinct direction. Increasing the inertia of increasingly small particles typically involves […] Keywords: |
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KeyShot in Action: A Gateway to Aesthetic Excellence in Engineering Design Abstract: In this talk, we’ll discuss how engineering students can utilize KeyShot to elevate the aesthetics and presentation of their concepts, increasing the likelihood their ideas will garner attention and be valued. Through an in-person demonstration, the Education Program Manager from KeyShot will illustrate just how quick and painless learning the industry-leading 3D-visualization software can […] Keywords: |
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Data Sampling and Distillation for Neural Network Potentials Abstract: Multiscale modeling methods are typically envisioned as precise and predictive simulation tools to solve complex science and engineering problems. However, even conventional atomistic models often lack computational efficiency and accuracy, making them inadequate for providing reliable information for large-scale continuum models. In this seminar, I will discuss the developments aimed at overcoming these critical […] Keywords: |
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Abstract: Mathematical and computational modelling approaches can quantify the mechanics & mechanical environment of soft biological tissues under physiological and pathological loading. These tools can quantify ‘mechanical stimuli’ inputs to algorithms that control growth and remodelling (G&R) of the tissue to simulate adaptation to altered environmental conditions. In this talk, I will overview a rate-based […] Keywords: |
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