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Showing 1–5 of 5 results

Advanced filters: Author: Parijat Sengupta Clear advanced filters

Graphene-based physically unclonable functions that are reconfigurable and resilient to machine learning attacks

Disorder in the charge carrier transport of graphene-based field-effect transistors can be used to construct physically unclonable functions that are secure and can withstand advanced computational attacks.

Akhil Dodda
Shiva Subbulakshmi Radhakrishnan
Saptarshi Das
Research10 May 2021
Nature Electronics

Volume: 4, P: 364-374
Coherent control of an opsin in living brain tissue

The demonstration of a direct correlation between an optical stimulus and the biological function of a photoreceptor in living brain tissue charts the course for designing tailored pulses to control molecular dynamics in vivo.

Kush Paul
Parijat Sengupta
Stephen A. Boppart
Research18 Sept 2017
Nature Physics

Volume: 13, P: 1111-1116
Dynamic Tracking Algorithm for Time-Varying Neuronal Network Connectivity using Wide-Field Optical Image Video Sequences

Carlos Renteria
Yuan-Zhi Liu
Stephen A. Boppart
ResearchOpen Access13 Feb 2020
Scientific Reports

Volume: 10, P: 1-13
Spin-dependent magneto-thermopower of narrow-gap lead chalcogenide quantum wells

Parijat Sengupta
Yu Wen
Junxia Shi
ResearchOpen Access13 Apr 2018
Scientific Reports

Volume: 8, P: 1-14
Modulating electrophysiology of motor neural networks via optogenetic stimulation during neurogenesis and synaptogenesis

Gelson J. Pagan-Diaz
Jenny Drnevich
Rashid Bashir
ResearchOpen Access27 Jul 2020
Scientific Reports

Volume: 10, P: 1-16