Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–8 of 8 results
Advanced filters: Author: Ben Breitung Clear advanced filters

  • Marwitz et al. demonstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations from historical data. They show that the model enables experts to find suggestions that can inspire new research.

    • Thomas Marwitz
    • Alexander Colsmann
    • Pascal Friederich
    ResearchOpen Access
    Nature Machine Intelligence
    P: 1-10

  • High entropy oxides provide a new strategy toward materials design by stabilizing single-phase crystal structures composed of multiple cations. Here, the authors apply this concept to the development of conversion-type electrode materials for lithium-ion storage and show the underlying mechanism.

    • Abhishek Sarkar
    • Leonardo Velasco
    • Ben Breitung
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-9

  • Surface reconstruction, chemo-mechanical degradation, and interfacial side reactions are major factors limiting the cyclability of Ni-rich cathodes. A strategy based on entropy-assisted epitaxial coating is now shown to effectively mitigate these issues, leading to improved battery performance and promising advances in electrochemical energy storage.

    • Simon Schweidler
    • Torsten Brezesinski
    • Ben Breitung
    News & Views
    Nature Energy
    Volume: 9, P: 240-241

  • Though high entropy oxides have been explored as possible conversion-type negative electrodes for Li-ion batteries, the roles of the different elements remain unclear. Here the authors determine the behavior of each element during electrochemical cycling and connect it to the nanoscale structure.

    • Kai Wang
    • Weibo Hua
    • Xiaoke Mu
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-9

  • High-entropy materials (HEMs) are characterized by their high configurational entropy, providing unique property-tuning capabilities for a variety of applications. This Perspective discusses the potential of HEMs for applications in energy storage, energy conversion and electronics.

    • Simon Schweidler
    • Miriam Botros
    • Ben Breitung
    Reviews
    Nature Reviews Materials
    Volume: 9, P: 266-281