TITLE : Memristors in Action: Enabling Neuromorphic and Quantum-Inspired Technologies
ABSTRACT :
Neuromorphic devices represent a promising alternative to von Neumann computing, offering superior energy efficiency for dataintensive applications. In our work, we achieved remote modulation of synaptic functions such as longterm potentiation (LTP) and longterm depression (LTD) in an Ag/αFe₂O₃/FTO spintronic synaptic device using magnetic fields of ~80 Oe, with conductance changes attributed to Lorentz force and spindependent scattering. Associative learning was further demonstrated through Pavlov’s classical conditioning. Complementing this, we developed a Ptype CuO optoelectronic memristor that mimics retinal neurons, enabling optical control of LTP/LTD, shortterm plasticity, and pairedpulse facilitation, which were applied to MNIST digit classification and neuromorphic vision sensor concepts. Finally, Ta₂O₅based memristors exhibited stable bipolar switching, conductance quantization, and multibit (6bit) memory states, supported by oxygendefect filament mechanisms confirmed via spectroscopy and CAFM. These devices achieved up to 68 memory states and 36 quantized conductance values, underscoring their potential for next generation neuromorphic computing, multibit storage, and quantum information processing.
References:
1. M Yadav, P Jetty, SN Jammalamadaka Physica status solidi a (In press) (2025)
2. P Kumar, S Jammalamadaka, ACS Applied Electronic Materials (In press) (2025)
3. Harisankar R S, P Jetty, UM Kannan and SN Jammalamadaka, ACS Appl. electron. Mater (accepted) 2025.
4. A. Husain and SN Jammalamadaka Appl. Phys. A 130(10) (2024)
5. P Jetty, UM Kannan, SN Jammalamadaka ACS Appl. electron. Mater. 6 (3), 1992-2002 (2024)
6. P Jetty, UM Kannan, SN Jammalamadaka Nanotechnology 35 (7), 075701 (2023)
7. Prabana Jetty, SN Jammalamadaka, Physica status solidi A 2300050 (2023)
8. Prabana Jetty, Kannan UM and SN Jammalamadaka, Nanotechnology 34 265703 (2023)
9. DP Sahu, P Jetty and SN Jammalamadaka, Nanotechnology 32 155701 (2021)
10. DP Sahu and SN Jammalamadaka Nanotechnology 31, 35 (2020).
11. DP Sahu and SN Jammalamadaka Scientific Reports 9, 16141(2019)
12. DP Sahu and SN Jammalamadaka Scientific Reports 7, 17224 (2017)
ABOUT THE SPEAKER :
Dr. Suryanarayana Jammalamadaka is a Professor at Department of Physics, Indian Institute of Technology Hyderabad. He finished M. Sc from Central University Hyderabad, PhD from IIT Madras and received Prof. A. L. Laskar award for the best thesis. He has completed various postdoc positions at TIFR Mumbai, NUS Singapore and at KU Leuven Belgium. His research interests are spinelectronics, non-volatile memories, neuromorphic computing and opto-electronics. He published more than 70 high impact international journals. He graduated 8 PhD students and obtained 7 patents to his credit. At present a total of 7 PhD students are working with him He is Fellow of the Royal Society of Chemistry (FRSC), senior IEEE member, DAAD Fellow, Co – Chair for IEEE Nanotechnology Hyderabad chapter, Associate Fellow Telangana academy of sciences, life member of the MSI, IPA, EMSI, MRSI etc. He is also reviewer for many reputed international journals.
MEETING DETAILS :
Speaker: Dr. Suryanarayana Jammalamadaka, Associate Professor, Department of Physics, Indian Institute of Technology Hyderabad, Telangana, India
Venue: A4 conference room, South Campus, IIT Mandi
Date and Time: December 12 th, 2025, Friday| 4:00 pm (IST)
