PrISMa platform (Process-Informed design of tailor-made Sorbent Materials) uses advanced simulations and machine learning to find the most cost-effective and sustainable material-capture process combinations prior to implementation.
Starting with a DFT calculation on a MOF, and years of work with an incredible team, we can now predict how much CO2 this MOF can capture over a plant’s lifetime and at what net cost. Our paper “A holistic platform for accelerating sorbent-based carbon capture” is now published in Nature!
Read more here!