Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Materials Science and Engineering Program, University of California, San Diego, La Jolla, CA, 92093, USA.
Nat Commun. 2018 Nov 26;9(1):4980. doi: 10.1038/s41467-018-07160-7.
High-entropy materials have attracted considerable interest due to the combination of useful properties and promising applications. Predicting their formation remains the major hindrance to the discovery of new systems. Here we propose a descriptor-entropy forming ability-for addressing synthesizability from first principles. The formalism, based on the energy distribution spectrum of randomized calculations, captures the accessibility of equally-sampled states near the ground state and quantifies configurational disorder capable of stabilizing high-entropy homogeneous phases. The methodology is applied to disordered refractory 5-metal carbides-promising candidates for high-hardness applications. The descriptor correctly predicts the ease with which compositions can be experimentally synthesized as rock-salt high-entropy homogeneous phases, validating the ansatz, and in some cases, going beyond intuition. Several of these materials exhibit hardness up to 50% higher than rule of mixtures estimations. The entropy descriptor method has the potential to accelerate the search for high-entropy systems by rationally combining first principles with experimental synthesis and characterization.
高熵材料由于其有用的性能和有前途的应用而引起了相当大的关注。然而,预测它们的形成仍然是发现新系统的主要障碍。在这里,我们提出了一个描述符-熵形成能力,以解决从第一性原理出发的可合成性问题。该形式基于随机计算的能量分布谱,捕捉了在基态附近等采样状态的可及性,并量化了能够稳定高熵单相的构型无序。该方法应用于无序难熔 5 元碳化物-高硬度应用的有前途的候选材料。该描述符正确地预测了实验合成岩盐高熵单相的容易程度,验证了这一假设,在某些情况下,甚至超出了直觉。其中一些材料的硬度比混合物规则估计值高出 50%。熵描述符方法有可能通过合理地将第一性原理与实验合成和表征相结合,加速高熵系统的搜索。