NSF Convergence Accelerator Track I: Sustainable Topological Energy Materials (STEM) for Energy-efficient Applications

在过去的十年中，一类新材料的发现，称为拓扑量子材料，代表了凝聚态物理和材料科学的一个重要新前沿。在拓扑材料中，电子的量子态是由拓扑来描述和保护的，拓扑描述了局部扰动不能改变的鲁棒全局性质。拓扑材料的应用，如在量子信息科学，能量收集和微电子学的兴趣。然而，尽管有希望的实验室演示，环境友好的拓扑材料，准备室温部署是稀缺的。该项目旨在促进可持续拓扑量子材料的研究，特别强调节能应用。 为了实现这些应用，该项目旨在确定有前途的候选材料，评估其性能，并设计合适的器件架构。 该研究团队将系统地搜索，调查和基准拓扑材料，这些材料是环境可持续的，并且通过拓扑材料理论，材料信息学和机器学习，材料合成，表征和设备制造方面的互补专业知识具有所需的拓扑特性。为了弥合不同研究领域之间以及学术界和工业界之间的现有差距，该项目将开发资源和活动，例如与行业合作伙伴建立数据共享基础设施，并为拓扑材料行业培养未来的劳动力。 该团队由来自不同学科（物理学，材料工程，电气工程，数据科学）的拓扑材料研究先驱沿着对微电子和能源应用的拓扑材料机会感兴趣的行业合作伙伴组成。这项研究将为本科生和研究生创造行业实习机会，鼓励他们追求行业相关的问题。该研究团队将通过虚拟现实增强互动学习来培训拓扑材料行业和数据科学的多元化员工队伍，并为高中和K-12教师和导师提供资源。该研究建立在拓扑二极管效应的最新发现基础上。与整流需要异质结构或具有不同掺杂的区域的传统二极管相反，拓扑二极管基于固有的Berry曲率偶极子，其提供了光电检测和热电能量收集的新原理，效率大大提高。在第一阶段，总体目标包括：（a）拓扑材料数据库，其中包括晶体结构、拓扑不变量、合成途径，最重要的是拓扑二极管的性能指标。该数据库不仅面向物理学家，还面向固态化学家、材料科学家和半导体行业，以加速大规模生产。(b)确定适当的描述符，可以有效地连接拓扑材料的结构功能，并确定最环保的节能拓扑应用的可持续发展的候选人。这些描述符，通过数据驱动的方法，将作为未来拓扑材料发现的基石。(c)为位于麻省理工学院的可持续拓扑能源材料中心奠定基础，该中心将通过会议，论坛和研讨会汇集学术界和工业界的拓扑材料和能源应用专家。该奖项旨在鼓励半导体和清洁能源行业与学术界的前沿科学家合作，以促进拓扑材料解决方案的发展，从而为满足能源效率技术的关键需求做出贡献。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The discovery of a new class of materials, known as topological quantum materials, over the past decade represents a major new frontier in condensed matter physics and materials science. In topological materials, the quantum states of electrons are described by, and protected by, topology, which describes robust global properties that local perturbations cannot change. Topological materials are of interest for applications, such as in quantum information science, energy harvesting, and microelectronics. However, despite promising lab demonstrations, environmentally friendly topological materials that are ready for room-temperature deployment are scarce. This project aims at catalyzing research in sustainable topological quantum materials, with a particular emphasis on energy efficient applications. To realize these applications, the project seeks to identify promising material candidates, assess their performance, and design suitable devices architectures. The research team will systematically search for, investigate, and benchmark topological materials that are environmentally sustainable and that have the required topological properties through complementary expertise in topological materials theory, material informatics and machine learning, materials synthesis, characterization, and device fabrication. To bridge existing gaps between different research fields and between academia and industry, the project will develop resources and activities, such as a data-sharing infrastructure with industry partners, and cultivate a future workforce for a topological material industry. The team consists of pioneers in topological materials research from different disciplines (physics, material engineering, electrical engineering, data science) along with industry partners interested in topological materials opportunities for microelectronics and energy applications. This research will create industry internship opportunities for undergraduate and graduate students, encouraging them to pursue industry-relevant problems. The research team will train a diverse workforce of topological material industry and data science through virtual-reality-augmented interactive learning and bring resources to high-school and K-12 teachers and mentors.The research builds on the recent discovery of topological diode effects. Contrary to the conventional diodes, where the rectification requires heterostructures or regions with different doping, a topological diode is based on the intrinsic Berry curvature dipole, which offers new principles in photodetection and thermoelectric energy harvesting with much-improved efficiency. In Phase I, the overarching goals include: (a) A topological materials database, which includes crystal structures, topological invariants, synthesis pathways, and most importantly, performance indicators for topological diodes. The database targets not only physicists, but also solid-state chemists, materials scientists, and semiconductor industries to accelerate large scale production. (b) Identify proper descriptors that can effectively link the structures of topological materials to functionalities, and identify the most environmentally sustainable candidates for energy-efficient topological applications. Such descriptors, enabled by data-driven methods, will serve as the cornerstone for future topological materials discovery. (c) Building the foundation for a Center for Sustainable Topological Energy Materials, based at MIT, that will bring together experts in topological materials and energy applications from academia and industry through meetings, forums, and workshops. The goal is to engage semiconductor and clean-energy industries to collaborate with forefront scientists in academia to foster a topological materials solutions that will contribute to addressing critical needs energy efficient technologies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.