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Artificial intelligence for structural materials design and manufacturing http://s.uconn.edu/meseminar4/23/21 Abstract: After billions of years of evolution, it is no surprise that biological materials are treated as an invaluable source of inspiration in the search for new materials. Additionally, developments in computation spurred the fourth paradigm of materials discovery and design using artificial intelligence. Our research aims to advance design and manufacturing processes to […] Keywords: |
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Tianfeng Lu elected as a Combustion Institute (CI) Fellow We are proud to announce that Mechanical Engineering Professor Tianfeng Lu has been recognized as one of the 2021 Class of Fellows for The Combustion Institute. Prof. Lu joins a class of 32 accomplished international scholars from industry, academia, and the public sector, and was recognized for “the development of computationally efficient and accurate methods […] Keywords: |
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Prof. George Matheou recognized with a University Level Teaching Excellence Award “I Hear and I Forget, I See and I Remember, I Do and I Understand” (attributed to Confucius, 551 BC to 479 BC) In addition to his ability to solve significant societal and environmental problems using computational science, Prof. George Matheou is no stranger to educational innovations that explore new ways to involve students in […] Keywords: |
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SeungYeon Kang joins the ME department We’re thrilled to welcome Dr. SeungYeon Kang as a new Assistant Professor in our Department of Mechanical Engineering. Prof. Kang obtained her PhD in Applied Physics from Harvard University. Her current research interests include nanofabrication with ultrafast lasers, fundamental principles and application of light-matter interaction, 3D printing, additive manufacturing and energy harvesting through unconventional phenomenon […] Keywords: |
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Soft materials for soft machines http://s.uconn.edu/meseminar4/9/21 Abstract: Soft machines are transforming the fields of robotics and biomedical devices in that they are capable of sustaining large deformation and interacting safely with human beings. Soft active materials can change their shapes or volumes in response to external stimuli, such as light, heat and electric fields, and are important building blocks of […] Keywords: |
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New ARPA-E grant received by Prof. Julian Norato Prof. Julian Norato has received a new ARPA-E grant to study Topology Optimization and Additive Manufacturing for Performance Enhancement of High Temperature and High Pressure Heat Exchangers. High-temperature, high-pressure heat exchangers can substantially increase heat transfer efficiency and reduce the size and weight of the heat exchangers. In this project, the group will consider counterflow […] Keywords: |
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Xinyu Zhao and Ying Li receive the prestigious NSF CAREER award Two ME professors received the 2020 National Science Foundation’s CAREER award, which is the Foundation’s most prestigious award in support of early-career faculty. Prof. Xinyu Zhao’s 500k CAREER award focuses on developing a fundamental understanding of flame extinction, which plays a central role in promoting energy security, environmental sustainability, air-travel safety and opportune fire suppression. […] Keywords: |
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http://s.uconn.edu/meseminar4/2/21 Abstract: We are in the midst of experiencing both the Big Data Revolution and the emergence of the Second Quantum Revolution. The amount of data available is doubling yearly, and artificial intelligence (AI), in particular machine learning (ML) methods are playing an increasingly important role in analyzing this data and using it to deduce […] Keywords: |
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Microneedle technology for drugs, devices and diagnostics http://s.uconn.edu/meseminar3/26/21 Abstract: Microneedles enable minimally invasive access to the body interior. This access can be used to administer drug formulations to precise locations in the skin or the eye, and can be used to access interstitial fluid in the skin. Three applications of microneedle technology will be discussed. Our first project is motivated by the […] Keywords: |
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Opportunities and Support for the BME Research Community from NSF http://s.uconn.edu/meseminar3/19/21 Abstract: The National Science Foundation (NSF) supports work in all fields of science and engineering, including biomedical engineering. That said, biomedical engineering researchers can face challenges in finding the right ‘home’ and scope for their work at NSF. This presentation will provide a broad overview of the mission of NSF and how it relates […] Keywords: |
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Coherent-vorticity Preserving (CvP) Dynamic Modeling of High-Reynolds-Number Vortex Dominated Flows https://s.uconn.edu/meseminar3/12 Abstract: This talk will discuss a novel dynamic subgrid-scale (SGS) modeling approached called Coherent-vorticity Preserving (CvP) Eddy-Viscosity Correction [1], which has been designed for very rapid evaluation of the SGS vortical activity, enabling local and instantaneous modulation of the turbulent eddy viscosity. The CvP-LES approach has been validated against large-scale direct-numerical simulation (DNS) employing […] Keywords: |
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LES of lean-burn combustors: modelling perspectives and prediction of unsteady phenomena https://s.uconn.edu/meseminar3/5 Abstract: Energy demand and the need to reduce emissions have pushed combustion research towards the development of more efficient, environmentally-friendly engines. In lean-burn systems both high efficiency and low emissions can be achieved in principle by controlling the flame temperature; however the short resident times in practical systems and the unsteady coupling between turbulent […] Keywords: |
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Thermodynamic-informed machine learning for polycrystal plasticity https://s.uconn.edu/meseminar2/26/21 Abstract: This talk will present a machine learning framework that builds interpretable macroscopic surrogate elasto-plasticity models inferred from sub-scale direction numerical simulations (DNS) or experiments with limited data. To circumvent the lack of interpretability of the classical black-box neural network, we introduce a higher-order supervised machine learning technique that generates components of elasto-plastic models […] Keywords: |
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Constructing an ab-initio disease spread model to decipher Covid-19 type pandemics https://s.uconn.edu/meseminar2/19 Abstract: In this talk, we will attempt to address the following two questions concerning Covid-19 type infectious respiratory disease spread: 1. Can we identify the relative importance of the different dominant transmission routes of the SARS-CoV-2 virus? Initially Covid-19 was assumed to spread by large droplets whereas of late the airborne route has been […] Keywords: |
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Performance and Diversity-driven Generative Adversarial Networks for Engineering Design Applications https://s.uconn.edu/meseminar Abstract: Modern machine learning techniques, such as deep neural networks, are transforming many disciplines ranging from transportation to healthcare, by uncovering patterns in big data and making accurate predictions. They have also shown promising results for discovering design ideas, which is crucial for creating new products and enabling innovation. These automated computational design […] Keywords: |
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Engineering Heterogeneous Interfaces in the Proton Exchange Membrane Fuel Cell Catalyst Layer Webex Link: https://s.uconn.edu/meseminar Abstract: Proton exchange membrane fuel cells (PEMFCs) provide clean and efficient conversion of chemical energy into electrical energy, and fuel cell electric vehicles offer attractive range, weight, and refueling times when compared to similar technologies. However, challenges in infrastructure, performance, durability, and cost hinder wide-spread adoption. PEMFC cost, performance, and durability are […] Keywords: |
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