Litcius/Paper detail

Machine Learning in Materials Informatics: Methods and Applications

An, Yuling

2022ACS symposium series19 citationsDOI

Abstract

Utilizing Machine Learning in Materials Research. Machine learning has become one of the most exciting tools in materials science in recent years, based on the enormous number of publications and presentations that apply this approach to a broad range of fields. This work provides a comprehensive overview of how machine learning can be applied in various fields of materials science research to improve the efficiency and effectiveness of many challenging projects. Featuring concrete case studies with in-depth discussion, this work will inspire materials scientists to explore the potential of machine learning technology to expedite materials innovation.

Topics & Concepts

Materials informaticsInformaticsComputer scienceWork (physics)Data scienceArtificial intelligenceMachine learningEngineeringHealth informaticsMechanical engineeringEngineering informaticsElectrical engineeringMedicinePublic healthNursingMachine Learning in Materials ScienceElectron and X-Ray Spectroscopy Techniques
Machine Learning in Materials Informatics: Methods and Applications | Litcius