Physics AI built for real-world engineering
The same physics recurs across industries that otherwise share nothing: a package, an airframe, and a server rack all come down to heat, flow, and load. These are the environments where the cost of a slow answer is highest.
Automotive
Vehicle programmes carry structural, thermal, and aerodynamic requirements at once, and a change made for one of them usually moves the others.
Where the difficulty sits
- Crashworthiness has to be demonstrated across load cases and occupant positions, not a single impact.
- Structural changes made for stiffness or mass alter deformation behaviour elsewhere in the assembly.
- Thermal and flow behaviour around powertrain, battery, and brake components constrains packaging decisions.
- Each design variant repeats the same setup work, which limits how many get evaluated.
Engineering applications
- Crashworthiness and structural performance
- Component deformation and impact analysis
- Thermal and fluid-flow engineering where applicable
- Engineering design optimization across variants
Semiconductors
Power density in a modern package leaves very little thermal margin, and the margin that exists has to be demonstrated before silicon is committed.
Where the difficulty sits
- Heat generated in the die has to reach ambient through a stack of materials with very different conductivities.
- Localised hotspots determine reliability long before the average package temperature becomes a concern.
- Die placement, substrate choice, and cooling configuration interact rather than contributing independently.
- Thermal and mechanical behaviour are coupled, so stress follows from the temperature field.
Engineering applications
- Chip and semiconductor-package thermal analysis
- Heat-transfer and hotspot investigation
- Thermal management across packaging and cooling choices
- Structural and multiphysics analysis where relevant
Aerospace & Defense
Structural, thermal, and flow requirements are tightly coupled, and the margins are set by certification and mission requirements rather than by preference.
Where the difficulty sits
- Structural performance has to hold across a flight envelope, not at a single operating point.
- Thermal loads vary widely between conditions, and the worst case is not always the obvious one.
- Flow behaviour around and through a component drives both performance and the thermal picture.
- Mass is a hard constraint, so improvement usually means redistributing material rather than adding it.
Engineering applications
- Structural performance under combined loading
- Thermal analysis across operating conditions
- Fluid-flow analysis, internal and external
- Engineering design optimization against mass and performance targets
Energy
Rack power densities have risen faster than the cooling approaches around them, and a configuration that works at rack level does not always work for the room.
Where the difficulty sits
- Supply air has to reach every intake at the right temperature, which depends on the whole room rather than one rack.
- Recirculation and bypass are layout problems, and they are difficult to see without resolving the flow field.
- Liquid cooling changes where heat leaves the rack, which changes the air-side problem rather than removing it.
- Facility-level and component-level decisions constrain each other in both directions.
Engineering applications
- Airflow and thermal management across a room
- Cooling-system design and containment strategy
- Rack-level thermal analysis under uneven load
- Air-cooled and liquid-cooled infrastructure
- Engineering optimization for data-center design
Talk to us about your industry.
Most of what shows up here started as a question from an engineering team working in one of these environments.