Since the time of Thomas Edison, scientists have been using the same methods to prospect for materials: trial and error in the laboratory. With today’s science researchers do more sophisticated trial and error, and have some level of simulation capability, but materials discovery is still tedious, expensive and slow. As a result, only a small number of all known compounds have been characterized, and most materials remain “undiscovered” for potential uses. Xaedra, an artificial intelligence (AI) material prediction platform created by Lumiant Corporation represents a massive step forward. Xaedra is the first and only AI platform to successfully predict – not simulate – a wide variety of properties for over 50,000 known compounds. Dr. Pawel Pisarski, the creator of Xaedra, explains: “Xaedra first creates atomistic “fingerprints” of the 50,000 known compounds in its database. The user then can define a property of interest – mechanical, chemical, thermodynamic, electrical or other. Like any machine learning system, some level of measured data must be loaded into the database, then using the “fingerprints” the neural network is trained and Xaedra makes a prediction of the property for the remaining compounds.” Charlie Baker P.E., leader of Xaedra Business Development: “We believe that Xaedra will both enable and disrupt a wide range of technical fields, including energy storage, electronics, solar cells, catalysts, lightweight structures and many others. Prospecting for breakthrough materials can be done at the computer, and lab resources redeployed to confirmation and validation. We think this can both level the playing field between entrepreneurs and established companies as well as spark a wave of innovation in material science.” A limited number of Beta user opportunities are available – details, a working demo and contact information is at www.xaedra.com. Follow us on Twitter @XaedraAI.
Lumiant is a Canadian-controlled private company dedicated to advanced materials science. Its products and services include the Xaedra AI platform as well as various patented leading-edge materials. Its first novel material to market is TitanMade, a titanium-aluminide intermetallic ceramic targeted initially at the ballistic vehicle armour market. Beyond that, TitanMade has potential applications in numerous other industrial applications.
Key words: Xaedra, Lumiant Corporation, AI, science, material discovery, material prediction, material science, artificial intelligence, machine learning, neural network