Adithi Krishnaprasad

TL;DR: It is demonstrated that the development of ultrathin phototransistors and photonic synapses using a graphene-PQD (G-PqD) superstructure prepared by growing PQDs directly from a graphene lattice synchronizes efficient charge generation and transport on a single platform.

TL;DR: This work uses the volatile threshold switching behavior of a vertical-MoS2/graphene van der Waals heterojunction system to produce the integrate-and-fire response of a neuron, showing that the developed artificial neuron can play a crucial role in neuromorphic computing.

TL;DR: In this article, a two-terminal 2D MoS2-based memristive device was used to emulate an artificial neuron and the leaky integrate-and-fire neuron implemented with this device successfully emulates the key characteristics of a biological neuron.

TL;DR: Nonvolatile resistive switching MoS2/graphene devices that exhibit multiple conductance states at low operating currents exhibit a near-linear synaptic weight update, without any abrupt reset process, allowing their use in unsupervised learning applications.

TL;DR: In this work, the trapping and de-trapping of photogenerated carriers in the MoS2/SiO2 interface of a n-channel MoS 2 transistor was employed to emulate the optoelectronic synapse characteristics.