Insider Brief
- SandboxAQ has partnered with Aramco to develop a multi-GPU-enabled differentiable computational fluid dynamics solver for use in oil and gas processing facilities.
- Leveraging its Large Quantitative Models (LQMs), SandboxAQ combines AI and physics to accelerate material and chemical design, improving speed, accuracy, and real-world applicability.
- CEO Jack D. Hidary highlighted the collaboration’s potential to reduce Aramco’s carbon footprint using SandboxAQ’s advanced LQMs platform.
PRESS RELEASE — SandboxAQ announced today 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, optimizing, 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 optimization 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.”
By: Matt Swayne he has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. matt@thequantuminsider.com
