A Digital Twin (DT) is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity. The TAMIDS Digital Twin Lab (DTL) aims to build up the research capacity on DTs at Texas A&M and develop innovative computing and networking technologies and efficient theory/data-driven modeling methods to speed up the creation and deployment of DTs for a wide spectrum of real world applications. The lab will also actively develop and engage in education and training programs to teach and promote DT technologies across the Texas A&M System.
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DTL Virtual Workshop: Multiscale modeling of articular cartilage: from knee joint mechanics to cellular mechano-transduction for osteoarthritis and tissue engineering applications
On Oct 8th, 2024, Satanik Mukherjee from KU Leuven in Belgium will give a talk about multiscale modeling of articular cartilage: from knee joint mechanics to cellular mechano-transduction for osteoarthritis and tissue engineering applications.
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DTL Virtual Workshop: Advancements and Applications in SciML
On Oct 29th, 2024, Dr. Romit Maulik from Pennsylvania State University will offer a short course on SciML and the latest developments in these techniques.
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Seminar: Applications of Computational Tools in Metal Additive Manufacturing
On Oct 1st, Dr. Tuhin Mukherjee from the Department of Mechanical Engineering, Iowa State University will give a talk about the applications of computational tools in metal additive manufacturing.
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Collaborative Digital Twin Initiative
The Digital Twin Lab is thrilled to announce a collaborative digital twin initiative to empower researchers across the university. This service aims to advance scientific and engineering research by developing […]
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Seminar: IEEE MOVE Truck Program Overview
Grayson Randall, the IEEE MOVE Team – Operations Lead, will delve into the comprehensive operational aspects of the IEEE MOVE (Mobile Outreach VEhicle) truck, an initiative by IEEE committed to providing emergency response and community support during natural disasters and other crises.
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Workshop: Dive into Reduced Order Modeling with pylibROM – April 2024
The Digital Twin Lab at Texas A&M Institute of Data Science will host a collaborative workshop on Reduced Order Modeling (ROM), organized in partnership with Texas A&M High Performance Research […]
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Pioneering a New Era of Biologic Therapeutics with AI-Assisted Engineering of Protein
We are excited to unveil a new project – Engineering and delivery of localized therapeutics – funded by the Texas A&M Targeted Proposal Teams (TPT) initiative ($250,000, 2/2024-8/2025). The project […]
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Enhancing Safety in Renewable Energy through Innovative Metahuman Models
The Ocean Energy Safety Institute (OESI) has granted our project, titled “Metahuman Models for Reducing Human Exposure to Hazardous Conditions During Offshore Wind Turbine Operations and Maintenance,” funding amounting to […]
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Seminar: Merging Agents, Social Science, and Big Data into Artificial Societies
Dr. Andreas Tolk will give a talk on Merging Agents, Social Science, and Big Data into Artificial Societies: Providing Socio-technical Complex Adaptive Systems for Better Policy Evaluation.
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Seminar: Digital Twins: Driving 21st Century Transformation
October 30th, 2023 2:00 pm – 3:00 pm CT – Dr. Michael Grieves from Digital Twin Institute will give a talk on Digital Twins: Driving 21st Century Transformation.