Discover unknown stable crystals at unprecedented speed. Introducing Matlantis CSP. 💎🚀 We are thrilled to announce the launch of Matlantis CSP (Crystal Structure Prediction), a new capability that rapidly identifies previously unknown stable crystal structures from the enormous search space of atomic configurations and compositions within a given elemental system. Materials R&D has long depended on repeated synthesis experiments, even when the likelihood of success is low. Matlantis CSP introduces a computational screening step earlier in the process to rule out what is physically implausible in advance. By combining Matlantis’ core technology—the universal machine learning potential PFP—with proprietary algorithms, Matlantis CSP enables you to: ✅ Screen out experimentally unviable configurations before experimentation. ✅ Explore complex composition spaces with approx. 3–6× greater efficiency than random search. ✅ Discover novel materials that do not exist in current databases. We are honored to have Honda R&D as an early adopter. “We have high expectations for CSP as a technology that will dramatically improve exploration efficiency in materials development,” said Mitsumoto Kawai, Chief Engineer, Device Process, Innovative Research Excellence, Honda R&D Co., Ltd. “Through CSP, crystal structure searches—including multi-component systems and metastable structures that were previously impractical—have become feasible. Being able to narrow down promising crystal structures and compositions with high confidence before experiments will not only increase the probability of realizing next-generation materials but also shorten development timelines.” Learn how Matlantis CSP can transform your materials discovery: 👇 matlantis.com/en/product/mtc… #Matlantis #CrystalStructurePrediction

What a week at #CIIE! We were thrilled to exhibit Matlantis at the L'Oréal BIG BANG BEAUTY TECH INNOVATION PROGRAM booth. A huge thank you to the L'Oréal team for this opportunity and to everyone who visited us! #CIIE #LorealBigBang