Computational and Theoretical Insights into Superconductors Advancements
A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Inorganic Crystalline Materials".
Deadline for manuscript submissions: closed (16 August 2024) | Viewed by 2910
Special Issue Editors
Interests: strong correlation matter; electron–phonon interaction; crystal structure prediction; superconductivity; quantum physics and chemistry
Interests: electron–phonon interaction ; anharmonicity; quantum nuclear effects; machine learning; superconductivity; hydrides
Interests: first principles calculations; electronic structure, density functional theory; crystal structure prediction; high pressure chemistry; superconductivity; superhard materials; catalysis; self-assembly; low-dimensional systems
Special Issue Information
Dear Colleagues,
The phenomenon of superconductivity has the yet-untapped potential to revolutionize advancements in medicine, energy storage, transportation, and quantum computing. The well-understood mechanism of conventional BCS superconductivity has paved the way for theoretical predictions, computational methods, data science, and artificial intelligence (AI) to play a crucial role in advancing the field. Concurrently, the experimental confirmation of higher-temperature superconductivity has marked a transformative moment in the field, stimulating further theoretical studies. Advanced computational methods, including crystal structure prediction, have become powerful tools for efficient material design, enabling the exploration of different crystal structures and compositions. Additionally, the development of novel theoretical infrastructure has enhanced the speed and accuracy of predicting superconducting critical temperatures. Such methods facilitate the exploration of a broader range of chemical components, the investigation of quantum anharmonic effects, and the analysis of structural engineering factors such as strain–stress relationships and low-dimensional materials, thereby enabling the prediction of potential superconductors with desirable properties, empowering the discovery of novel materials. The present Special Issue on "Computational and Theoretical Insights into Superconductor Advancements" serves as a comprehensive report summarizing the tools and theories that currently define the field, and the recent progress that has been made therein, encouraging further studies in this area.
Dr. Xiaoyu Wang
Dr. Francesco Belli
Prof. Dr. Eva Zurek
Guest Editors
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Keywords
- superconductor
- electron–phonon interaction
- crystal structure prediction
- quantum anharmonic effect
- superconductivity
- machine learning
- material discovery
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