TESLAB · Nanyang Technological University

Physics-grounded AI for thermal energy systems

We are a multi-disciplinary group. We combine physics-based modelling and experiments with AI to make thermal energy systems more efficient.

Research areas
  • Geothermal energy
  • Cryogenic energy storage
  • Waste heat recovery
  • Phase change materials
How we work
  • LLM agents that turn design problems into traceable workflows
  • Neural surrogate models that speed up thermal-management design
  • AI-guided manufacturing with 3D printing
  • Physics-based modelling validated on in-house test rigs

School of Mechanical & Aerospace Engineering · Nanyang Technological University, Singapore

Featured · Geothermal energy

From discovery to readiness: NTU's continuing geothermal journey

The initial drilling campaign has ended. The work now shifts from discovering the resource to building the knowledge, partnerships and local capability needed for the next phase of Singapore's geothermal development.

The geothermal team at the drilling site
122 °Cmeasured at 1.76 km depth in the Sembawang slimhole
Explore the lab

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