近日，清华大学电子系鲍捷教授团队，在材料科学领域国际知名期刊《Nano Research》发表题为 《The Wave-Particle Duality of Light Manifested in Spectrometer Designs》的论文。该研究立足光的波粒 二象性基本原理，系统概述了基于波动性和粒子基的两类光谱检测技术的原理、实现路径、核心特性、 性能表现及应用拓展，为光谱技术的创新演进提供了新的理论视角。 本次发表的论文，以光的波粒二象性这一基础原理为研究切入点。尽管这一原理已被认知百年，但 光谱测量方法仍主要植于光的波动性，传统波基范式光谱仪因此存在光谱特性与设备尺寸难以兼顾的局 限，制约了其在现场检测等复杂场景的应用。 前沿基础研究与产业实践的深度融合，是技术创新的重要动力。本次综述系统厘清了波基与粒子基 两大光谱技术范式的发展脉络，全面覆盖原理、实现路径、核心特性等关键维度，既为光谱技术领域提 供了系统的学术梳理，也为产业技术升级提供了理论基础。 研究从原理层面系统将光谱技术划分为"波基"与"粒子基"两大并行范式，其中粒子基范式通过光子 与量子点、纳米结构等敏感材料的本征相互作用直接编码光 ...

Group 1: Investment Trends - Investment is increasingly focused on artificial intelligence, green technology, and biomedicine as areas for long-term returns [1] - Capital is shifting towards sectors with clear technological barriers and deep integration into specific industrial scenarios [1][2] - The trend indicates a move from simple online consultations in healthcare to complex long-term health management and precision treatment [2] Group 2: Healthcare Innovations - The "Home Doctor" project exemplifies a successful AI-driven family doctor service model, achieving a membership renewal rate of over 95% for three consecutive years [2] - Investment is gravitating towards projects that combine advanced biotechnologies and AI algorithms, demonstrating clinical effectiveness [3] - The "SaiFu Gene" project integrates genetic big data with AI to focus on hereditary and rare diseases, creating a dual-driven model of clinical services and research empowerment [3] Group 3: Autonomous Driving and Low-altitude Economy - Autonomous driving technology is moving beyond demonstration phases to large-scale commercial operations in logistics and mining [5] - New Stone Technology's delivery vehicles have entered 306 cities in China, providing integrated solutions of hardware, software, and operational services [5] - The mining sector is experiencing significant economic benefits from automation, with estimates suggesting annual savings of approximately 160 million yuan in labor costs [5] Group 4: Green and Hard Technologies - Investment is flowing into hard technologies that support future industries like AI and low-carbon transitions, characterized by high technical barriers and long R&D cycles [8] - Companies like Chip Vision Technology are developing advanced monitoring systems for environmental management, showcasing the integration of cutting-edge sensor technology with practical needs [8] - Investment in foundational technologies is aimed at domestic alternatives and cost reductions, such as the development of domestically produced cryo-electron microscopes [8] Group 5: Evolving Investment Strategies - Investment institutions are transitioning from a focus on financial returns to providing deep value-added services and industry empowerment [11] - Funds are adopting long-term strategies, exemplified by investments in biodegradable plastics and industrial water treatment over a decade [11] - Financial institutions are innovating their service models to better accommodate the unique needs of technology companies, such as the introduction of "technology achievement transformation loans" [12]