Abstract
The practically unlimited high-dimensional composition space of high-entropy materials (HEMs) has emerged as an exciting platform for functional material design and discovery. However, the identification of stable and synthesizable HEMs and robust design rules remains a daunting challenge. Here, we propose a mixed enthalpy-entropy descriptor (MEED) that enables highly efficient, robust, high-throughput prediction of synthesizable HEMs across vast chemical spaces from first-principles. The MEED is based on two parameters: the relative formation enthalpy with respect to the most stable competing compound and the spread of the point-defect formation energy spectrum. The former measures the relative synthesizability of an HEM to its most stable competing phase, going beyond the conventional thermodynamic understanding. The latter gauges the relative entropy forming ability of an HEM, entailing no sampling over numerous alloy configurations. By applying the MEED to two structurally distinct representative material systems (i.e., 3D rocksalt carbides and 2D layered sulfides), we not only successfully identify all experimentally reported HEMs within these systems but also reveal a cutoff criterion for assessing their relative synthesizability within each system. By the MEED, tens of new high-entropy carbides and 2D high-entropy sulfides are also predicted, which have the potential for a wide variety of applications such as coating in aerospace devices, energy conversion and storage, and flexible electronics.
Original language | English |
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Pages (from-to) | 5142-5151 |
Number of pages | 10 |
Journal | Journal of the American Chemical Society |
Volume | 146 |
Issue number | 8 |
DOIs | |
State | Published - Feb 28 2024 |
Funding
This work has been supported by the U.S. DOE, Office of Science, Office of Basic Energy Sciences, under Award No. DE-SC0021127. The portion of the MEED benchmarking on some metal carbides was supported by the National Science Foundation, under Award No. 2127630. D.D. and L.Y. gratefully acknowledge the assistance of the Advanced Computing Group of the University of Maine System for providing computational resources for this work. Part of this research was conducted at the Center for Nanophase Materials Sciences using the resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is a DOE Office of Science User Facility.
Funders | Funder number |
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National Science Foundation | 2127630 |
U.S. Department of Energy | |
Office of Science | |
Basic Energy Sciences | DE-SC0021127 |