Autonomous Energy Materials Discovery [AMD] is a computational research group directed by Dr. Süleyman Er of DIFFER and CCER. At [AMD], we develop and use automated virtual materials discovery frameworks – powered by high-throughput physics-based classical and quantum calculations, artificial intelligence methods, and advanced data-infrastructures – to accelerate the discovery of molecules, 2D and 3D materials for energy applications.
[AMD] has highly integrated research lines individually focusing on materials for batteries, catalysts, and data-driven method development to accelerate the search for good materials in an almost infinite chemical space. We are a productive computational research group of ±10 researchers from diverse disciplines of basic sciences and engineering, as evident with impactful scientific publications, open programming tools, and FAIR databases that are all in service of a broad community of researchers, industry, and public. We actively collaborate with (inter)national research and industrial organizations and are looking forward to your message to contact us.