This thesis concerns the development of neural network models for understanding magnetism in quantum many body systems. Chapter 1 discusses the quantum many bod

The field of highly frustrated magnetism has developed considerably and expanded over the last 15 years. Issuing from canonical geometric frustration of interac

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign

Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy

This book focuses on an increasingly important area of materials science and technology, namely, the fabrication and properties of artificial materials where sl