发表机构
School of Materials Science and Engineering, Beihang University; State Key Laboratory of Tropic Ocean Engineering Materials and Materials Evaluation, Beihang University; College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications; School of Electrical and Electronic Engineering, Nanyang Technological University; Wuhan National High Magnetic Field Center, Huazhong University of Science and Technology; The Analysis & Testing Center, Beihang University（北京航空航天大学材料科学与工程学院; 北京航空航天大学热带海洋工程材料与材料评价国家重点实验室; 南京邮电大学集成电路科学与工程学院; 南洋理工大学电气与电子工程学院; 华中科技大学武汉国家高磁场中心; 北京航空航天大学分析测试中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种应变介导的反铁磁MnIr/PMN-PT裸片边缘处理器，利用自刷新编码机制实现无需时频变换的模拟计算，在极端环境下达到高精度识别与超低能耗，拓展了反铁磁器件的物理计算应用。
AI 中文摘要
半导体电子器件日益受到基本量子隧穿效应和基于电荷的机制的限制，这严重制约了硅基技术的进一步小型化、写入速度扩展和环境鲁棒性。这些限制对深空探测尤为不利，因为在极端温度、超强磁场和强辐射环境下，传统电子器件若无大规模屏蔽会迅速失效。本文提出了一种本质上具有鲁棒性的、基于应变介导的反铁磁MnIr/PMN-PT边缘处理器，该处理器可在高达500 K的温度、55 T的磁场和1.5 Mrad的辐射剂量下作为裸片可靠运行。通过利用输入调制的原位自刷新编码机制，该器件可直接从原始模拟信号中进行非线性特征提取和分类，实现无需时频变换的模拟计算架构。该架构在无需数字预处理的情况下，语音识别准确率达99.8%，宇航员视觉物体识别准确率达100%。此外，一种全硬件集成的无人机视觉系统展示了实时原位命令执行和自主导航，提供太赫兹级响应频率和约0.2 fJ/次的超低能耗。这项工作将反铁磁器件的功能范围扩展到存储和逻辑之外，将其确立为在极端环境下实现高能效物理计算和自主智能的有前景的材料平台。
英文摘要
Semiconductor electronic devices are increasingly constrained by fundamental quantum tunneling effects and charge-based mechanisms, which severely limit further miniaturization, write-speed scaling, and environmental robustness of silicon-based technologies. These limitations are particularly prohibitive for deep-space exploration, where extreme temperatures, ultra-strong magnetic fields, and intense radiation rapidly incapacitate conventional electronics without massive shielding. Here, we present an intrinsically resilient, strain-mediated antiferromagnetic MnIr/PMN-PT edge processor that operates reliably as a bare die under temperatures up to 500 K, magnetic fields of 55 T, and radiation doses of 1.5 Mrad. By exploiting an input-modulated in situ self-refreshing encoding mechanism, the device performs nonlinear feature extraction and classification directly from raw analog signals, enabling an analog computing architecture that requires no time-frequency transformation. This architecture achieves 99.8% accuracy in speech recognition without digital preprocessing and 100% accuracy in astronaut visual object recognition. Furthermore, an all-hardware integrated drone vision system demonstrates real-time in situ command execution and autonomous navigation, delivering a terahertz-level response frequency and an ultra-low energy consumption of approximately 0.2 fJ per operation. This work expands the functional scope of antiferromagnetic devices beyond memory and logic, establishing them as a promising materials platform for energy-efficient physical computing and autonomous intelligence in extreme environments.
Comments75 pages, 26 figures, 4 tables. Published at Advanced Materials
