Capitalizing on each other’s areas of expertise to advance materials innovation, Kebotix, a U.S.-based technology platform company that transforms discovery of new chemicals and materials through AI and robotics, and SCM, a Netherlands-based computational chemistry software company specializing in accurate property prediction methods through atomistic modeling, have announced a strategic partnership.
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The collaboration between Kebotix and SCM is intended to enable innovative customers to drastically scale up and computationally screen far greater quantities of molecules and materials than via today’s laborious and costly norm of trial and error.
The two companies believe that integrating Kebotix’s platform with SCM’s software makes for a unique and powerful combination that will spawn faster and cost-effective new materials for the benefit of a host of industries and a world in need of sustainable solutions to life-threatening challenges.
“The complementary expertise of SCM in computational chemistry and Kebotix’s experience in cloud-based AI-driven workflows offer a radically new way to speed up computational research with the goal of delivering new molecules and materials with improved properties much faster than the current state of the art,” said SCM CEO Dr. Stan van Gisbergen.
Added Dr. Fedor Goumans, SCM’s chief customer officer: “Currently, our industrial users in diverse areas such as petrochemistry, batteries and electronics are already advancing their research using our various atomistic methods. The new collaboration will accelerate virtual materials exploration, reducing costs and time to market. The combined platform will also help experimental researchers with no computational chemistry experience.”
Active learning enables exploration of new areas of chemical space that maximize the possibility to find the best new candidate materials, according to the companies. Moreover, they said, integrating atomistic simulations with advanced AI into a scalable, flexible and secure platform empowers innovators to find the best solution more quickly and with fewer resources.
“Massive accelerations can be achieved by integrating SCM’s four-decade-long history of making and supporting atomistic modeling software with Kebotix’s proven advanced machine learning techniques,” said Dr. Christoph Kreisbeck, Kebotix chief commercial officer.