2026 Roadmap on compositionally complex and high entropy materials for energy applications

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Authors: Albert Tarancón, Miriam Botros, Bhanu P. Gangwar, Krishanu Biswas, Simon Divilov, Hagen Eckert, Rico Friedrich, Arrigo Calzolari, Stefano Curtarolo, Alfred Ludwig, Florian Strauss, Torsten Brezesinski
+15 more Ben Breitung, Maximilian Fichtner, Ren He, Andreu Cabot, Juliusz Dąbrowa, Jin-Tao Ren, Zhong‐Yong Yuan, Claudia Zlotea, Vitalie Stavila, Shuhuan Yang, Mingyuan Hu, Hai-Feng Li, Jiaqing He, Anke S. Ulrich, Maren Lepple
Cited by: 4
References: 238

Abstract

Abstract In the study of complex systems, the intricate interdependence among individual components leads to emergent properties that cannot be solely attributed to the properties of the components themselves. This principle is central to compositionally complex materials (CCMs), where interactions between different elements introduced into the structure result in unprecedented material properties. The emergence of high-entropy materials (HEMs) in 2004 further increased complexity by introducing high configurational entropy (S config ), which can contribute to stabilizing single-phase solid solutions by counterbalancing enthalpic driving forces for phase separation. HEMs and CCMs represent an emerging family of materials where multiple principal elements occupy equivalent crystallographic sites. This atomic architecture gives rise to extraordinary properties such as tailorable electronic structures, lattice distortion effects, and synergistic interactions, with their vast combinatorial design space enabling the tuning of these effects across a wide range of compositions. Although the field is still in its infancy, early discoveries highlight their disruptive potential, particularly in energy technologies where robustness and durability are critical. Their exceptional thermal stability, corrosion resistance, and electro-chemo-mechanical durability position HEMs and CCMs as game-changers for applications demanding resilience under harsh operating conditions, such as batteries, fuel cells, and hydrogen storage systems. Beyond performance advantages, CCMs challenge traditional materials discovery frameworks. Their extensive design space makes conventional trial-and-error approaches impractical, creating an ideal platform for deploying AI-driven high-throughput computational screening, multiscale modeling, and autonomous experimental workflows. This convergence of complexity and innovation offers unprecedented opportunities to accelerate the identification of next-generation energy materials. This roadmap compiles insights from leading experts in the field of CCMs across key energy domains, including electrochemical storage, catalysis, thermoelectrics, and turbomachinery. Their contributions critically assess the current state of this material family, highlighting unresolved scientific challenges, technological barriers, and the key advancements needed to move beyond the current state-of-the-art. Special emphasis is placed on combinatorial synthesis and high-throughput approaches and their potential to trigger exponential development of this emerging family of materials. Focused on energy applications, this roadmap provides a comprehensive overview of a time-critical topic, emphasizing the need for material innovation and joint efforts from academia and industry.

Fields of Study & Subjects

High Entropy Alloys Studies Machine Learning in Materials Science High-Temperature Coating Behaviors

Publication details

Journal / source
Journal of Physics Energy
Publisher
IOP Publishing
Volume
8
Issue
3
Pages
031501–031501
Publication date
26 March 2026
Language
EN