We have released technical documentation on the recently spotlighted AI surrogate model technology known as PINNs.
The AI-based product performance simulation technology, known as surrogate modeling technology, has recently gained attention. Among these, the PINNs (Physics-Informed Neural Networks) technology has particularly attracted interest, with NVIDIA also releasing a general-purpose module called NVIDIA Modulus. Our company is creating practical AI surrogate models using PINNs technology with NVIDIA Modulus and our proprietary PINNs module, and we have published technical documentation on this. Please download it from the catalog below. Additionally, you can try out the PINNs surrogate model from the "Astraea Software Product Demo Page" available at the link below.
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basic information
The public documents are as follows. Please download them from the catalog. 1. Report on Surrogate Models Using PINNs (Physics-Informed Neural Networks) - NVIDIA Modulus Report This is a report on the PINNs AI surrogate model utilizing NVIDIA Modulus. 2. Report on Parametric Model Verification Using PINNs - Proprietary PINNs Surrogate Model This is a report on the AI surrogate model using our proprietary PINNs module.
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Applications/Examples of results
Improvement of design and production processes in the manufacturing industry of automobiles and machinery.
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Company information
In the manufacturing industry, the use of three-dimensional data such as 3D CAD data is becoming widespread, but in AI, the use of two-dimensional data is mainstream, and the use of three-dimensional data is still not in sight. Our company is considering how to make better use of 3D CAD data in the manufacturing industry and contribute to improving QCD, and we are conducting research and development on three-dimensional shape recognition technology using AI and deep learning. Based on the latest AI research results, our company has successfully developed a three-dimensional AI model that can recognize three-dimensional shape data. With this groundbreaking three-dimensional AI technology, we will spread three-dimensional AI throughout the engineering chain centered on CAD, CAM, and CAE, contributing to the improvement of QCD. Moreover, three-dimensional AI is a new technology, and its potential is limitless. We will promote research and development of three-dimensional AI and spread this pioneering three-dimensional AI technology not only in the manufacturing industry but also in many other industries, contributing to the improvement of QCD.
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