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Topological and Quantum Materials for Energy and Information: Spectroscopy and Computation Approaches

This special issue belongs to the section “Quantum Materials“.

Special Issue Information

Dear Colleagues,

It is our pleasure to welcome your contribution to the Special Issue, titled “Topological and Quantum Materials for Energy and Information: Spectroscopy and Computation Approaches”. Future technologies such as quantum computing, electric vehicles, and autonomous robotics depend critically on breakthroughs in energy storage and quantum information systems. Addressing these challenges requires the development of quantum and topological materials precisely controlling charge, spin, and ionic motion. There is rapidly emerging progress in the synergistic integration of spectroscopy and predictive computation, revealing band topology, excitations, defects, and buried interfaces that govern transport, stability, and coherence limits.

This Special Issue welcomes studies that combine or advance spectroscopic and computational techniques to deepen the understanding and design of topological and quantum materials for next generation energy and information technologies. Suitable submissions include, but are not limited to, computational investigations employing first principles, many body, or machine learning approaches, and experimental studies using techniques such as angle-resolved photoemission spectroscopy (ARPES), resonant inelastic X ray scattering (RIXS), Compton scattering, positron-annihilation spectroscopy, transport, and advanced microscopy. Target systems include, but are not limited to, electrodes and solid electrolytes, qubit systems, superconductors and Josephson devices, topological semimetals, and insulators, Kagome and other layered compounds, and two dimensional heterostructures. Priority themes include quantitative links among spectral functions, momentum densities, and quantum geometry that control oxygen redox, interfacial stability, dendrite initiation, ion mobility, and unconventional transport, as well as the materials origins of coherence and decoherence in qubits and quantum circuits.

We look forward to receiving your valuable contributions and to collating a collection that advances discovery, validation, and design across energy and the frontiers of energy and quantum information science.

Dr. Wei-Chi Chiu
Prof. Dr. Bernardo Barbiellini
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Condensed Matter is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantum materials
  • topological materials
  • quantum information and qubits
  • superconductivity and Josephson devices
  • solid electrolytes and solid-state batteries
  • layered compounds and Kagome systems
  • two dimensional heterostructures
  • density functional theory and many body methods
  • machine learning for materials
  • spectroscopy

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Condens. Matter - ISSN 2410-3896