芯片集成激光驱动粒子加速器
设计灵感将融合《MIT Technology Review》的前瞻科技感与Dyson的精密工业设计美学。整体风格冷静、严谨且富有未来感,旨在通过清晰的结构与精致的细节,视觉上呈现这项前沿技术的微观尺度与巨大能量
SRF腔体LLRF波形数据处理：从三通道校准到动态失谐反演
在脉冲超导射频（SRF）腔体的低电平射频（LLRF）系统研究中，如何将采集到的原始波形数据转换为可靠的物理参数是一个核心问题。本文基于一组实际的LLRF测试数据，系统梳理从三通道复数校准、动态失谐提取到品质因数反演的完整流程，并提供可直接运行的Python实现。
Reinforcement Learning for Frequency Control in Superconducting RF Particle Accelerators: A Global Research Overview
The application of Reinforcement Learning (RL) to the control of superconducting radiofrequency (SRF) systems in particle accelerators represents a significant frontier in the quest for autonomous, high-performance beam operation.
自动电阻测量系统：基于Python与RS232的泰克2182A和LPS305控制
要构建一个基于Python的自动电阻测量系统，用于控制泰克2182A电压表和LPS305电流源，需要：1) 通过RS232连接设备与计算机；2) 安装Python及必要的库（如PySerial、Tkinter、Matplotlib）；3) 编写Python程序，实现设备通信、参数设置、数据采集（包括设定采样间隔和电流值）、实时数据显示以及数据保存（如CSV格式）等功能；4) 设计一个图形用户界面（GUI）以方便操作。核心在于理解设备的RS232通信协议，并利用PySerial库进行控制。
铌材剩余电阻比（RRR）测量方法与设备研究
铌材剩余电阻比（RRR）的精确测量对于评估高纯铌超导材料的纯度至关重要，直接影响其在超导腔等高端应用中的性能。国际标准IEC 61788-23及等同的中国国家标准GB/T 45506-2025规定了RRR测量的核心方法、设备要求、样品制备、数据分析和不确定度评估，为不同形态（板、管、棒）铌材的RRR值测定提供了统一规范。
国内外核裂变与核聚变发展现状
全球核能发展正经历深刻变革，核裂变技术向更安全、经济的第四代和小型模块化堆（SMR）演进，中国在高温气冷堆等领域取得领先；核聚变技术则处于实验向工程验证的关键期，ITER项目持续推进，私营企业创新活跃。各国政策普遍支持核能发展，国际合作与竞争并存。商业化方面，核能经济性面临挑战，但SMR和四代堆潜力巨大；产业链日趋成熟，市场前景广阔，尤其在新兴市场。安全与公众接受度仍是关键，技术进步、废料处理方案完善及有效公众沟通是提升社会认可度的核心。
Radio Frequency Superconducting Technology in Quantum Computing
Radio frequency (RF) superconducting technology, pivotal in particle accelerators, is extensively utilized in quantum computing for controlling and reading out superconducting qubits, which are artificial atoms operating at microwave frequencies.
RF Superconducting Cavity Tuners and Control Algorithms: Development, Status, and Future Trends
RF superconducting cavity tuners and their control algorithms have evolved significantly, with current hardware featuring a mix of traditional mechanical and piezoelectric actuators alongside emerging non-contact "cavity tuners" and ferroelectric devices. Niobium remains the primary cavity material, with Nb3Sn and other advanced superconductors under active research. Control software increasingly incorporates AI and machine learning for adaptive tuning and disturbance compensation, aiming for higher precision and stability. Future trends point towards wider adoption of AI in control systems, the development of new superconducting materials for higher temperature operation, and continued innovation in fast, efficient tuning mechanisms.
Advancements and Future Directions in Radio Frequency Superconducting Technologies
Over the last 5-10 years (2015-2025), radio frequency (RF) superconducting technologies have seen significant advancements driven by the pursuit of higher performance, increased efficiency, and broader applicability.
Superconducting Accelerators: A Global Perspective on History, Technology, Projects, and Policy
Superconducting accelerators are pivotal in advancing scientific discovery and technological innovation globally. Their development, driven by international collaboration and national strategic priorities, has led to breakthroughs in high-energy physics, materials science, medicine, and industry. Key international projects like the Large Hadron Collider (LHC) and proposed facilities such as the International Linear Collider (ILC) and Future Circular Collider (FCC) rely heavily on superconducting magnet and radio-frequency (SRF) technologies. Domestically, China has made significant strides, establishing a robust ecosystem for SRF research and manufacturing, and is pursuing ambitious projects like the Circular Electron-Positron Collider (CEPC), the China Spallation Neutron Source (CSNS), and the Chinese Initiative Accelerator-Driven System (CiADS), supported by national funding and a strong focus on self-sufficiency.