We model heat where it is mission-critical: battery packs, industrial heat exchangers, and process thermal systems. Conjugate fluid–solid coupling, transient analysis, and live thermal-state estimation in one digital twin.
Each regime needs the right method — high-fidelity CFD with energy-conservation PINNs where geometry is clean, physics-guided ML where it isn't.
Cell-level heat generation, pack thermal runaway risk, cooling system optimization. Predict thermal hot-spots and cycle-life impact in real time.
Thermal performance prediction, fouling detection, and operating-point optimization. The twin learns from sensor data and stays current with the asset.
Temperature-field prediction in manufacturing processes: drying ovens, reactors, calenders. Live state estimation from limited sensor data.
Cross-sector thermal digital twin — battery thermal, heat exchangers, and process thermal in one platform. In development; pilot deployments through 2026.