The NSDG group works on the design and development of nanoelectronic devices for beyond-CMOS applications, photovoltaics, and green hydrogen generation. Our current focus is on the development of artificial synapses and ReRAMs for brain-inspired neuromorphic computing, ultra-thin solar cells for space applications, nanowire sensors, and energy-efficient light emitting devices. Another important area where the group is beginning to foray into is semiconductor packaging and heterogeneous integration.

Emerging semiconductor structures are predicted using machine learning algorithms. We use solution processing methods and interface-engineering to fabricate flexible devices using halide perovskites and other low-dimensional semiconductors.

The physical processes affecting the operation of these multi-layer devices, including generation and recombination mechanisms, and conventional and ionic charge transport mechanisms, are analyzed using techniques such as nano-scale imaging, deep level transient spectroscopy, impedance spectroscopy, low-temperature I-V and C-V measurements etc. The device structures are also simulated using 3D Silvaco and Synopsys TCAD tools to back our experimental work and to develop new analytical and semi-empirical models.