Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

The AI-driven framework of optimizing the mechanical property of 2D-PHS. Two-dimensional patterned hollow structures (2D-PHS) are an advanced class of metamaterials known for their unique mechanical ...

Multivariate porous materials (MTV) are like a "collection of Lego blocks," allowing for customized design at a molecular level to freely create desired structures. Using these materials enables a ...

Artificial intelligence has made significant strides in dentistry, especially in areas like diagnostics and clinical imaging. However, the application of AI ...

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...

Guidance on bringing together academic expertise, students’ lived experience and GenAI’s creative capacity to co-design ...