Mission of the Center
The Digital Design Research, Analysis, and Manufacturing Center (D2REAM) center at the University of Connecticut is an academic-government-industry partnership aimed at enabling the development of groundbreaking Modeling and Simulation (M&S) capabilities to support advanced structural digital design and manufacturing and discovery of metamaterials for the next generation of Army ground vehicle systems. Furthermore, the center will use the strong research ecosystems at UConn to build a strong partnership between academia, government and industry and train a talented workforce and thought leaders for government and industry.
Advanced Structures and Materials
This thrust focuses on the design and integration of new structural systems; novel architected active material systems with designed properties; multiscale modeling, mechanics and material discovery; and sensor information to develop advanced and adaptive vehicle structures.
Design and Virtual Prototyping of Engineered Systems
This effort facilitates systems of systems integration and decision making by developing novel modeling and digital validation capabilities for structural systems, digital twins and virtual prototyping, energy systems and storage, system sensing, diagnostics and prognostics, and uncertainty quantification.
Advanced Manufacturing and Processing
The focus of this thrust is on decentralized, adaptive and flexible advanced manufacturing capabilities, including on modeling for Additive Manufacturing (layered and robotic); Design for Manufacturing; ultrafast laser processing; biodegradable sensors and devices; process monitoring and control; system diagnostics, quality and reliability improvement in advanced manufacturing.
Artificial Intelligence (AI)-driven Approaches for Product Development
The 4th research thrust spans the spectrum of the product development process by developing and incorporating physics-informed and high-throughput machine learning-based approaches: from predictive materials design, and topology optimization to rapid manufacturing, process monitoring and control, system diagnostics and prognostics, and improved quality and reliability.
Artificial Intelligence (AI)-driven Approaches for Product Development
Department News
- Sound Waves Go Flat January 14, 2025 Ilies, Horea
- DREAM Engineering: Where Research Meets Imagination January 12, 2025 Ilies, Horea
- Dr. Langston Receives Gov. Lamont’s Commendation December 7, 2024 Ilies, Horea
- New Models Help Predict Protein Dynamic Signatures November 14, 2024 Ilies, Horea
Engineering News
- Neag School Alumna Recognized as a Knowles Teaching Fellow January 20, 2025 Shawn Kornegay
- UConn Researcher Sheds New Light on Importance of Hair Satisfaction for Black Adolescent Girls January 20, 2025 Jaclyn Severance
- UConn Researcher Discovers Missing Regulator in Parkinson’s Disease January 20, 2025 Anna Zarra Aldrich '20 (CLAS), Office of the Vice President for Research
- Planting Knowledge, Cultivating Connections: A Farmer-to-Farmer Volunteer Reflection January 17, 2025 Jessica McBride, PhD
UConn Today News
- Neag School Alumna Recognized as a Knowles Teaching Fellow January 20, 2025
- UConn Researcher Sheds New Light on Importance of Hair Satisfaction for Black Adolescent Girls January 20, 2025
- UConn Researcher Discovers Missing Regulator in Parkinson’s Disease January 20, 2025
- Planting Knowledge, Cultivating Connections: A Farmer-to-Farmer Volunteer Reflection January 17, 2025