Mistral AI 收购 Emmi AI，加码面向航空航天与能源的 Physics AI 研究
Physics AI research that’s shaping the industry. | Mistral AI
Mistral AI 收购 Emmi AI，并加倍投入面向航空航天、汽车、半导体和能源等实体产业的 Physics AI 基础研究。其 Anchored-Branched Universal Physics Transformer（AB-UPT）可在单张 GPU 上处理 900 万表面网格和 1.4 亿体积网格的原始几何数据，无需重新划分网格。相关成果还包括 3D 机翼跨音速 CFD 数据集（约 3 万个样本）以及面向大规模多物理过程的端到端深度学习代理模型。
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The acquisition of Emmi AI has highlighted Mistral’s commitment towards pushing the state-of-the-art in AI research and enterprise solutions for industrial engineering.
Emmi’s work, now part of Mistral, is dedicated to fundamentally enabling engineers to build the next generation of products faster and secure continuous performance gains in operations at scale for their customers.
We are doubling down on building foundational Physics AI for the industries that shape the physical world, such as aerospace, automotive, semiconductors, and energy.
Below are some of the published breakthroughs that this work rests on.
DEC 1, 2025
Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
Existing aerospace datasets predominantly focus on 2D airfoils, neglecting these critical 3D phenomena. To address this gap, we present a new dataset of CFD simulations for 3D wings in the transonic regime. The dataset comprises volumetric and surface-level fields for around 30,000 samples with unique geometry and inflow conditions.
arXiv
NOV 25, 2025
Driven by the advancement of GPUs and AI, the field of Computational Fluid Dynamics (CFD) is undergoing significant transformations. This paper bridges the gap between the machine learning and CFD communities by deconstructing industrial-scale CFD simulations into their core components.
arXiv
OCT 17, 2025
In this technical report, we add two new datasets to the body of empirically evaluated use-cases of AB-UPT, combining high-quality data generation with state-of-the-art neural surrogates.
arXiv | Github
OCT 8, 2025
Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is understanding plasma turbulence, which significantly impairs plasma confinement, and is vital for next-generation reactor design.
Anchored-Branched Universal Physics Transformer (AB-UPT) for aerodynamics CFD. Handles raw geometry without remeshing at 9M surface and 140M volume cells on a single GPU.
First end-to-end deep learning surrogate for large-scale multi-physics processes. Enables real-time simulation of industrial processes like fluidised bed reactors.
arXiv | Github
FEB 19, 2024
UPT: Universal Physics Transformer
A Framework For Efficiently Scaling Neural Operators across diverse spatio-temporal problems. Supports both grid and particle simulations.
arXiv | Github
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