https://surrogatemodels.com/ News, papers, datasets, and funding and deals in Physics AI for engineers: Thermal. en https://surrogatemodels.com/papers/simnethttps://surrogatemodels.com/papers/simnetThu, 12 Nov 2026 09:00:00 GMTA framework that trains physics-informed networks from the governing equations, with no simulation data, on geometry built from constructive solid geometry or STL. Design parameters such as fin heights are extra network inputs, so one training run covers a whole family of designs.Aero & CFDThermalBiomedical flows https://surrogatemodels.com/news/xplore-rwe-benchhttps://surrogatemodels.com/news/xplore-rwe-benchTue, 27 Oct 2026 09:00:00 GMTXplore builds what it calls high-fidelity reinforcement learning environments and evals around real engineering workflows. Its first public benchmark, Real World Engineering Bench (RWE-Bench), evaluates frontier AI models on mechanical tasks (parts and mechanisms modelled in CAD and checked for strength, fit and motion), electrical tasks (high-speed PCB routing, including DDR memory and PCIe links) and aerospace tasks (CFD and conjugate heat transfer, from building the mesh to a converged solution). Agents work in a sandbox with CadQuery, Gmsh, CalculiX and Python, and every run is graded by a deterministic verifier that runs physics solvers, with no LLM or human grading. Podcaster Dwarkesh Patel wrote that he is backing the company, founded by engineers Miguel and Carlos; the amount was not disclosed.Aero & CFDThermalElectromagnetics https://surrogatemodels.com/market/vinci-series-bhttps://surrogatemodels.com/news/vinci-series-bTue, 06 Oct 2026 09:00:00 GMTPalo Alto startup Vinci raised a $250 million Series B led by Advent, Temasek and Xora Innovation, with Eclipse, Khosla Ventures and Madrona, less than a year after a $46 million round in December 2025. Its software predicts the physical behaviour of chip and hardware designs before they are built, starting with heat, and the company plans to add vibration and electromagnetics. It reports designs of more than 15 billion degrees of freedom analysed in minutes; its speed claims have not been independently verified.Thermal https://surrogatemodels.com/market/physical-superintelligence-seedhttps://surrogatemodels.com/news/physical-superintelligence-seedTue, 01 Sep 2026 09:00:00 GMTPhysical Superintelligence (PSI), based in Cambridge, Massachusetts, launched with a $58 million seed round led by Breakthrough Energy Ventures. It describes itself as an AI-native physics lab: its platform, Emmy, aims at higher-fidelity world models and at engineering physical systems, with data-centre design as the first application.Thermal https://surrogatemodels.com/datasets/shift-batteryhttps://surrogatemodels.com/datasets/shift-batteryFri, 01 May 2026 09:00:00 GMTOver 1,300 conjugate heat transfer simulations of serpentine cold-plate cooling channels under a battery module, varied over six channel parameters and the operating conditions, with surface and coolant volume fields and the pressure drop and peak module temperature of each case. Licence: CC BY-NC 4.0.Thermal https://surrogatemodels.com/news/noether-2026-4https://surrogatemodels.com/news/noether-2026-4Wed, 29 Apr 2026 09:00:00 GMTEmmi AI releases Noether v2026.4.0, the first version under calendar-based numbering. AB-UPT no longer has a fixed surface and volume split: a `ModelDataSpecs` dictionary lets it take any number of named domains (gas, liquid, solid, multi-phase), and new untied physics blocks give each branch its own weights. New recipes cover DrivAerML end to end with query-based inference, the SIMSHIFT Heatsink benchmark (819 simulations; velocity, temperature and pressure on 3D volume fields, with AB-UPT or Transolver++) and a subset of the Emmi-Wing dataset on Hugging Face. Emmi says RoPE scaling and the Muon optimiser improve its AB-UPT baseline on DrivAerML; the release notes link a Weights & Biases report and give no figure. Muon support splits the attention weights, so earlier AB-UPT checkpoints do not load.Aero & CFDThermal https://surrogatemodels.com/market/luminary-series-bhttps://surrogatemodels.com/news/luminary-series-bMon, 15 Sep 2025 09:00:00 GMTLuminary Cloud raised a $72 million Series B led by N47 with Sutter Hill Ventures and NVentures, NVIDIA's venture arm. Its platform pairs simulation that generates synthetic training data with deep-learning models trained on it, which the company says predict how cars, aircraft and electronics perform in near real time.Aero & CFDThermal