DMREF/GOALI/Collaborative Research: High-Throughput Simulations and Experiments to Develop Metallic Glasses

非技术描述：许多领域对更高性能材料的需求日益增长，需要开发更复杂的材料。在这个项目中，一种新的材料发现方法将在组合计算热力学和实验技术的基础上发展。块状金属玻璃将被作为示例材料，因为它们的技术潜力-它们可以被认为是高强度金属，可以像塑料一样成型-以及它们对开发通用方法的适用性。许多合金-数以千计-将同时合成和表征。这些合金的变形能力，与玻璃形成能力相关的属性，将通过实验测量。与玻璃相竞争的结晶相也将被表征。这些结晶相将与考虑许多可能的结晶相的能量的原子建模结果进行比较。由于直接建模的玻璃形成能力是不可能的，从第一原理，将建立实验玻璃形成能力和竞争的结晶相从原子建模之间的相关性。通过这项研究开发这种方法和相关性将加快发现和部署先进材料的步伐。特别是对于块体金属玻璃，技术相关合金的潜在发展，特别是那些基于Cu或Al的合金，预计将对社会产生持久的影响。技术说明：这一目标将通过组合从头计算模拟，溅射组合合成扩散和高通量表征方法的综合方法来实现。为了大规模并行合成包含约1，000种合金的复杂合金系统，本研究使用组合磁控溅射。组成库将使用特定的高通量方法来表征，用于测量液相线温度、可成形性、热和结构性质。在这种方法中，将产生大量的实验和计算数据，这些数据将被数据挖掘以确定相关性。该策略不是试图直接模拟玻璃形成，而是将实验和计算相结合，以了解液体和竞争结晶状态的哪些结构和能量方面与玻璃形成能力最相关。识别相关性是研究的一个关键方面，这些相关性将用于通过计算和实验相结合的手段来寻找新的玻璃形成组合物。

Non-Technical Description: The increasing demand for higher performing materials across many fields requires the development of ever more complex materials. In this project a novel materials discovery methodology will be developed based on advances in combinatorial computational thermodynamics and experimental techniques. Bulk metallic glasses will be taken as example materials because of their technological potential - they can be considered high-strength metals that can be formed like plastics - and their suitability for the development of a general methodology. Many alloys - on the order of thousands - will be synthesized and characterized simultaneously. The ability of these alloys to be deformed, a property that correlates with the glass forming ability, will be measured experimentally. The crystalline phases competing with the glassy phase will also be characterized. These crystalline phases will be compared with atomic modeling results considering the energy of many possible crystalline phases. Since direct modeling of the glass forming ability is not possible from first principles, correlations will be established between the experimental glass forming ability and the competing crystalline phases from atomic modeling. The development of such a methodology and correlation through this research will accelerate the pace of discovery and deployment of advanced materials. Specifically for bulk metallic glasses, the potential development of technologically relevant alloys, particularly those that are based on Cu or Al can be expected to have a lasting impact on society.Technical Description: This objective will be realized through an integrated approach of combinatorial ab-initio simulations, combinatorial synthesis of sputtered composition spreads, and high-throughput characterization methods. To massively parallel synthesize complex alloy systems comprising ~1,000 alloys, this research uses combinatorial magnetron sputtering. Compositional libraries will be characterized using specific high-throughput methods for measuring liquidus temperature, formability, thermal, and structural properties. Within such an approach a vast amount of experimental and computational data will be generated, which will be data-mined to identify correlations. Rather than trying to directly simulate glass formation, the strategy will be to integrate experiments and computations to understand which structural and energetic aspects of the liquid and competing crystalline state best correlate with glass forming ability. Identifying correlations is a key aspect of the research and these correlations will be used to search for new glass forming compositions through combined computational and experimental means.