With the development of modern society, the requirement for energy has become
increasingly important on a global scale. Therefore, the exploration of novel materials for …

The increasing global need for energy supply in modern society has created a pressing
need to explore new materials for renewable energy technologies. However, conventional …

Achieving the 2016 Paris agreement goal of limiting global warming below 2° C and
securing a sustainable energy future require materials innovations in renewable energy …

Nowadays, the research on materials science is rapidly entering a phase of data‐driven
age. Machine learning, one of the most powerful data‐driven methods, have been being …

Abstract Machine learning (ML) is a versatile technique to rapidly and efficiently generate
insights from multidimensional data. It offers a much‐needed avenue to accelerate the …

The discovery of new materials is one of the driving forces to promote the development of
modern society and technology innovation, the traditional materials research mainly …

In the light of mature mathematical algorithms and material database construction, a basic
research framework of machine learning (ML) method integrated with computational …

In this big data era, the use of large dataset in conjunction with machine learning (ML) has
been increasingly popular in both industry and academia. In recent times, the field of …

Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …

Discovering and understanding new materials with desired properties are at the heart of
materials science research, and machine learning (ML) has recently offered special …