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researcher

S. Shekhar

7 papers hereh-index 354.7k citations163 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.optics4
  • cs.ET2
  • physics.ins-det1
same name
  • S. Shekhar — 3 papers, h 13
  • S. Shekhar — 2 papers, h 2
  • S. Shekhar — 2 papers, h 2
  • S. Shekhar — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing physics.opticsShow all

4 papers · 1 filter

physics.optics2025

Isolator-Free Laser Operation Enabled by Chip-Scale Reflections in Zero-Process-Change SOI

Omid Esmaeeli, Lukas Chrostowski, Sudip Shekhar

The isolation-free operation of photonic integrated circuits enables dense integration, reducing packaging costs and complexity. Most isolator replacements require a change in the…

physics.optics2025

GHz-rate optical phase shift in light matter interaction-engineered, silicon-ferroelectric nematic liquid crystals

Iman Taghavi, Omid Esmaeeli, Sheri Jahan Chowdhury +10

Organic electro-optic materials have demonstrated promising performance in developing electro-optic phase shifters. Their integration with other silicon photonic processes, nanofab…

physics.optics2024

Physics to System-level Modeling of Silicon-organic-hybrid Nanophotonic Devices

Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski +2

The continuous growth in data volume has sparked interest in silicon-organic-hybrid nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices of…

physics.optics2024

120 GOPS Photonic Tensor Core in Thin-film Lithium Niobate for Inference and in-situ Training

Zhongjin Lin, Bhavin J. Shastri, Shangxuan Yu +27

Photonics offers a transformative approach to artificial intelligence (AI) and neuromorphic computing by enabling low-latency, high-speed, and energy-efficient computations. Howeve…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.