Autonomous Energy Materials Discovery [AMD] is a Research Group at DIFFER. At [AMD], we develop and use autonomous virtual materials discovery frameworks – powered by classical and quantum chemical high-throughput simulations, artificial intelligence methods, and advanced data-infrastructures – to accelerate the discovery of new functional molecules, 2D and 3D materials for innovative energy storage. [AMD] is directed by Dr. Süleyman Er.
[AMD] has highly integrated research lines. [AMD] is a highly productive research group as evident with its impactful scientific publications as well as its publicly available open databases in service of a broad community of researchers, industry, and public at large. [AMD] consists of researchers from diverse disciplines of basic sciences and engineering and is always interested in new talent. [AMD] collaborates with various research and industrial organisations. You are always welcome to contact us.