SandboxAQ and Aramco sign AI agreement
Published by Oliver Kleinschmidt,
Deputy Editor
Hydrocarbon Engineering,
SandboxAQ has announced it has signed an agreement with Aramco, one of the world's leading integrated energy and chemicals companies, to collaborate on developing a multi-GPU enabled differentiable computational fluid dynamics solver for application in oil and gas processing facilities.
Designing, optimising, and manufacturing new materials and chemicals has traditionally been challenging, slow, and expensive. SandboxAQ attempts to address these challenges by applying its Large Quantitative Models (LQMs) platform, which combines AI and physics to sample outside the known data space and connect computational methods to real-world results. This approach is intended to improve speed and accuracy, allowing products to reach the market faster and with better performance. The LQMs cover a range of techniques including large-scale quantum chemistry, generative chemistry AI, multi-parameter optimisation and high-throughput quantitative data extraction.
Jack D. Hidary, SandboxAQ CEO, said: "Our collaboration with Aramco brings SandboxAQ technology to address key challenges in the energy and chemicals industry. LQMs are the right tool to help Aramco lower its carbon footprint."
Read the article online at: https://www.hydrocarbonengineering.com/gas-processing/28012025/sandboxaq-and-aramco-sign-ai-agreement/
You might also like
The Hydrocarbon Engineering Podcast
A podcast series for professionals in the downstream industry featuring short, insightful interviews. Subscribe on your favourite podcast app to start listening today.
