Pendurthi Rahul, Jayachandran Darsith, Kozhakhmetov Azimkhan, Trainor Nicholas, Robinson Joshua A, Redwing Joan M, Das Saptarshi
Engineering Science and Mechanics, Penn State University, University Park, PA, 16802, USA.
Materials Science and Engineering, Penn State University, University Park, PA, 16802, USA.
Small. 2022 Aug;18(33):e2202590. doi: 10.1002/smll.202202590. Epub 2022 Jul 17.
Atomically thin, 2D, and semiconducting transition metal dichalcogenides (TMDs) are seen as potential candidates for complementary metal oxide semiconductor (CMOS) technology in future nodes. While high-performance field effect transistors (FETs), logic gates, and integrated circuits (ICs) made from n-type TMDs such as MoS and WS grown at wafer scale have been demonstrated, realizing CMOS electronics necessitates integration of large area p-type semiconductors. Furthermore, the physical separation of memory and logic is a bottleneck of the existing CMOS technology and must be overcome to reduce the energy burden for computation. In this article, the existing limitations are overcome and for the first time, a heterogeneous integration of large area grown n-type MoS and p-type vanadium doped WSe FETs with non-volatile and analog memory storage capabilities to achieve a non-von Neumann 2D CMOS platform is introduced. This manufacturing process flow allows for precise positioning of n-type and p-type FETs, which is critical for any IC development. Inverters and a simplified 2-input-1-output multiplexers and neuromorphic computing primitives such as Gaussian, sigmoid, and tanh activation functions using this non-von Neumann 2D CMOS platform are also demonstrated. This demonstration shows the feasibility of heterogeneous integration of wafer scale 2D materials.
原子级薄的二维半导体过渡金属二硫属化物(TMDs)被视为未来节点互补金属氧化物半导体(CMOS)技术的潜在候选材料。虽然已经展示了由晶圆级生长的n型TMD(如MoS和WS)制成的高性能场效应晶体管(FET)、逻辑门和集成电路(IC),但要实现CMOS电子器件,需要集成大面积的p型半导体。此外,存储器和逻辑的物理分离是现有CMOS技术的一个瓶颈,必须克服这一问题以减轻计算的能量负担。在本文中,克服了现有局限性,首次介绍了大面积生长的n型MoS和具有非易失性和模拟存储能力的p型钒掺杂WSe FET的异质集成,以实现非冯·诺依曼二维CMOS平台。这种制造工艺流程允许精确放置n型和p型FET,这对任何IC开发都至关重要。还展示了使用这种非冯·诺依曼二维CMOS平台的反相器、简化的2输入-1输出多路复用器以及诸如高斯、Sigmoid和双曲正切激活函数等神经形态计算原语。这一展示证明了晶圆级二维材料异质集成的可行性。