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."
