AI 中文总结
探索节能且功能强大的自旋电子学，氮自旋电子学利用氮化物材料用于从轨道扭矩自旋电子器件到人工智能硬件等应用，以Cr2N为原型系统探讨氮的作用，概述建立氮基材料用于下一代计算技术的挑战与机遇。
AI 中文摘要
对节能且功能强大的自旋电子学的探索备受关注。轨道输运为电流感应扭矩产生开辟了新途径。此外，已能用自旋电子器件进行人工智能计算。通过开发超越现有强自旋轨道耦合重金属和拓扑系统的独特功能材料，有望推动这些器件进一步发展。氮化物材料具有独特的化学、磁性和结构特性。本文提出氮自旋电子学这一概念框架，利用氮化物材料用于从基于轨道扭矩的自旋电子器件到人工智能硬件等应用。以具有原子层结构的二维氮化物MXene（Cr2N）为原型系统，讨论了氮对结构稳定性、轨道扭矩产生及界面轨道和自旋转换的作用。还概述了建立用于下一代计算技术的氮基材料面临的关键挑战与机遇。
英文摘要
The exploration of energy-efficient and functional spintronics has attracted considerable attention. Orbital transport has opened new pathways for current-induced torque generation beyond the conventional spin transport based on the spin Hall effect. In addition, artificial intelligence computing has been demonstrated using spintronic devices. Further progress of these devices can be anticipated through the development of unique and functional materials beyond the existing heavy metals and topological systems with strong spin-orbit coupling. The nitride materials exhibit unique chemical, magnetic, and structural versatility, including antiferromagnetism, high thermal stability, and compatibility with diverse device architectures. Here, we propose Nitrospinics as a conceptual and functional framework that exploits nitride materials for applications ranging from orbital-torque-based spintronic devices to artificial intelligence hardware. Using Cr2N, a two-dimensional nitride MXene with an atomic layered structure, as a prototype system, we discuss how nitrogen contributes to the structural stability, the orbital torque generation, and the interfacial orbital and spin conversion. We further outline key challenges and opportunities toward establishing nitride-based materials for next-generation computing technologies.
