STOCHOS

STOCHOS

PI Probaligence GmbH
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About

NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.

About

STOCHOS is probabilistic AI for engineering and R&D. It learns from the simulation, test, and measurement data a team already has and predicts new variants in seconds, with an uncertainty on every prediction, so engineers know when to trust a result and when to run the solver instead. Built on DIM-GP, it works with small datasets, typically tens to a few hundred samples, and with scalars, signals, 2D and 3D fields, meshes, geometries, and images. Methods: surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, multi-fidelity modeling, sensitivity analysis, and generative geometry. STOCHOS Flow, the visual workbench, builds the workflows without code and ships them to the team as web apps. Runs on your own hardware, installs offline. From PI Probaligence, founded 2018 in Grafing bei München, part of the CADFEM Group and an Ansys Technology Partner.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction

Audience

Engineers, Researcher, Simulation Engineers, Lab Researcher

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

Quote on request
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo

Company Information

PI Probaligence GmbH
Founded: 2018
Germany
probaligence.com

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Categories

Categories

Integrations

PyTorch
Python

Integrations

PyTorch
Python
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
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Claim STOCHOS and update features and information