Southern Texas Ecotourism Center
Texas A&M Institute of Data Science

Digital Twin Lab

The TAMIDS Digital Twin Lab (DTL) aims to develop innovative visualization, computing, and networking technologies and efficient theory/data-driven modeling methods to speed up the creation and deployment of digital twins for a wide spectrum of real-world applications.

NSF ARM-MIP Concept

ARM-MIP Self-Driving Lab

Texas A&M’s Digital Twin Lab is helping build the digital foundation for ARM-MIP, the NSF-funded self-driving metals laboratory. By integrating visualization, data-driven models and AI-enabled workflows, the lab will connect autonomous experiments to faster, more transparent materials discovery nationwide.

Full Story

Research

Exploratory

  • Early-stage projects with $1k and consultancy from DTL
  • Open to all Texas A&M students and researchers
  • Free consultancy with DTL team members
  • Involve at least one DTL member

Pilot

  • Intermediate-stage projects with $20K from TAMIDS
  • Funded by TAMIDS
  • Led by DTL lab members
  • Develop research capacity in specific domains
  • Team building
  • Prepare for proposals

Funded

  • Projects supported by federal / state-level grants
  • Sustainable research through external funding
  • Multidisciplinary and interdisciplinary collaboration
  • Broader impacts

Contact

Digital Twin Interest Group

A Google group (mailing list) was created to facilitate the exchange of ideas and resources. It is open to everyone in the Texas A&M system.

Collaboration Requests

Please visit the Lab Member page and contact individual researchers if you are looking for collaborators with certain expertise. All the questions about lab-level collaborations should be addressed to the DTL Director Dr. Jian Tao at [email protected].

Jobs & Opportunities

All the DTL jobs and opportunities are listed on the TAMIDS Jobs page. Please follow the instructions on the TAMIDS website for more information.