Computational solid-state physics is a branch of physics that uses computer simulations and mathematical models to study the properties and behavior of solids, such as crystals, semiconductors, and magnetic materials.
A textbook for computational solid-state physics will typically cover topics such as crystal structures, electronic band structures, phonons, defects and disorder, and thermodynamics of solids. It may also include chapters on specific computational techniques and software programs used in the field.
While a basic understanding of physics and mathematics is helpful, a background in computer science is not necessary to understand a textbook for computational solid-state physics. The book will typically provide an introduction to the relevant concepts and techniques used in the field.
Most textbooks for computational solid-state physics will assume a basic understanding of undergraduate physics, including classical mechanics, electromagnetism, and quantum mechanics. Some familiarity with programming and computer simulations may also be helpful.
Computational solid-state physics has a wide range of applications in materials science, engineering, and technology. It is used to study and predict the properties of materials, such as their electronic, magnetic, and thermal behavior, which can then be applied in the design and development of new materials and devices.