Layered Materials Research Foundry

石墨烯由于其在室温下的高载流子迁移率、电可调的光学电导率和波长无关的吸收而对于光电子学是理想的。石墨烯为许多层状材料（LM）打开了闸门。对于给定的LM，可以通过改变层的数量和它们的相对取向来调整性质和应用的范围。具有定制特性的LM异质结构（LMH）可以通过堆叠不同的层来创建。可以剥落的散装材料的数量数以千计，但迄今为止很少有人研究过。 LMRF将开发一个完全集成的LM-Silicon Photonics平台，服务于5G、6 G和量子通信，促进新的设计概念，解锁新的性能水平。石墨烯和其他非石墨烯LM处于两个不同的发展阶段。石墨烯更加成熟，现在可以在技术相关的设备中实现超越现有技术的功能。在（光）电子、光子学和传感器领域，石墨烯系统已经表现出卓越的性能，降低了功耗，或者具有高光谱范围的光电探测器（PD）用于自动驾驶等应用，其中快速数据交换是安全操作的关键条件。光探测和测距、安全、工业、环境和医疗技术的超灵敏物理和化学传感器的应用开始出现，并提供了巨大的前景。必须开发这些技术，以实现全面的工业影响。其他非石墨烯LM也是不断增加的研究工作的中心，作为量子技术的新平台。它们已经展示了它们的潜力，从可扩展的组件，如量子光源，光子探测器和纳米级传感器，到在更广泛的量子模拟领域内发现新材料。挑战在于理解和定制激子性质和单光子发射过程的性质，以及制造工作集成器件。LM中的量子发射器在可扩展性、可扩展性、与其他系统的集成以及额外的量子自由度方面具有潜力：谷赝自旋。一个主要的挑战是超越实验室演示，并表明LM可以实现技术潜力。LMRF将通过使用户能够以可扩展的方式制造他们的设备来加速这一进程，其技术与大规模制造工厂相当。这种可扩展性对于LM成为颠覆性技术至关重要。我们的愿景是将硅光子学与基于LM的光电子学的最佳部分联合收割机结合起来，解决当前平台的主要缺点。信息和通信技术系统是全世界增长最快的电力消费者。由于当前CMOS技术的限制，能源效率达到了根本的极限。基于LM的光电子学建立在硅光子学的光学/电子集成能力之上，这有利于产品成本，但调制器设计在高数据速率下比传统硅光子学更简单，功耗更低。

Graphene is ideal for opto-electronics due to its high carrier mobility at room temperature, electrically tuneable optical conductivity, and wavelength independent absorption. Graphene has opened a floodgate for many layered materials (LMs). For a given LM, the range of properties and applications can be tuned by varying the number of layers and their relative orientation. LM heterostructures (LMHs) with tailored properties can be created by stacking different layers. The number of bulk materials that can be exfoliated runs in the thousands, but few have been studied to date. The layered materials research foundry (LMRF) will develop a fully integrated LM-Silicon Photonics platform, serving 5G, 6G and quantum communications, facilitating new design concepts that unlock new performance levels. Graphene and the other non-graphene LMs are at two different stages of development. Graphene is more mature, and can now target functionalities beyond the state of the art in technologically relevant devices. In (opto-)electronics, photonics and sensors, graphene-based systems have already demonstrated extraordinary performance, with reduced power consumption, or photodetectors (PDs) with hyperspectral range for applications such as autonomous driving, where fast data exchange is a critical requisite for safe operation. Applications in light detection and ranging, security, ultrasensitive physical and chemical sensors for industrial, environmental and medical technologies are beginning to emerge and offer great promise. These technologies must be developed to achieve full industrial impact. The other non-graphene LMs are also at the centre of an ever increasing research effort as a new platform for quantum technology. They have already shown their potential, ranging from scalable components, such as quantum light sources, photon detectors and nanoscale sensors, to enabling new materials discovery within the broader field of quantum simulations. The challenge is understanding and tailoring the excitonic properties and the nature of the single photon emission process, as well as to make working integrated devices. Quantum emitters in LMs hold potential in terms of scalability, miniaturisation, integration with other systems and an extra quantum degree of freedom: the valley pseudospin. A major challenge is to go beyond lab demonstrators and show that LMs can achieve technological potential. The LMRF will accelerate this by enabling users to fabricate their devices in a scalable manner, with comparable technology to large-scale manufacturing foundries. This scalability is essential for LMs to become a disruptive technology. The vision is to combine the best of Silicon Photonics with LM-based optoelectronics, addressing key drawbacks of current platforms. ICT systems are the fastest growing consumers of electricity worldwide. Due to limitations set by current CMOS technology, energy efficiency reaches fundamental limits. LM-based optoelectronics builds on the optical/electronic integration ability of Silicon Photonics, which benefits product costs, but with modulator designs simpler than conventional Silicon Photonics at high data rates, giving lower power consumption.