Papers

3

Total Citations

31

H-Index

3

About

Manish Khemnani is a rising researcher at the forefront of neuromorphic and in-memory computing, specializing in the design and characterization of hybrid organic-inorganic perovskite-based memristors. His work focuses on exploiting the unique properties of layered perovskites—specifically Dion-Jacobson and Ruddlesden-Popper phases—to create artificial synapses and nociceptors that mimic biological sensory and memory functions. Khemnani’s most cited paper (22 citations) investigates the critical role of interfacial layers in enabling resistive switching in Dion-Jacobson perovskite memristors, demonstrating how these devices can overcome the von Neumann bottleneck by supporting multilevel storage and history-dependent conductivity. He has further advanced the field by fabricating artificial nociceptors on biodegradable substrates, pushing toward sustainable and bio-integrated electronics. His recent studies on fluorinated Ruddlesden-Popper perovskite memristors reveal promising mechanisms for diffusive switching, essential for emulating pain-sensing neurons. With publications in high-impact venues and a growing citation footprint, Khemnani is establishing himself as a key contributor to next-generation computing architectures that merge materials innovation with brain-inspired circuit design.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Investigating the Role of Interfacial Layer for Resistive Switching in a Hybrid Dion-Jacobson Perovskite-Based Memristor
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Pandit Deendayal Petroleum University, Flex (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago