Perspective on machine learning in energy material discovery
Junjun Li, Yajing Sun, Zhicheng Zhang
Abstract
In the big data era, data-driven machine learning technology acts as a vital role in the development of energy materials. Innovative research on high-quality energy material databases, appropriate material feature descriptors, efficient prediction and generation models are urgent and will bring significant breakthroughs to the discovery of new energy materials.
Topics & Concepts
Computer scienceBig dataProcess (computing)Data scienceScale (ratio)Key (lock)Artificial intelligenceIndustrial engineeringSystems engineeringMachine learningData miningEngineeringComputer securityOperating systemPhysicsQuantum mechanicsMachine Learning in Materials ScienceComputational Drug Discovery MethodsX-ray Diffraction in Crystallography