J. Semicond. >  Just Accepted

ARTICLES

Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids

Sirsendu Ghosh§, Gaurav Shukla§, Ramesh Singh Bisht and Pramod Kumar

+ Author Affiliations

 Corresponding author: Pramod Kumar, pramod_k@iitb.ac.in

DOI: 10.1088/1674-4926/26040010CSTR: 32376.14.1674-4926.26040010

PDF

Turn off MathJax

Abstract: Synaptic devices are required to break the Von Neumann bottleneck by incorporating memory and processing within the same physical location and hence improve the computational strength for artificial intelligence and the Internet of Things (IoT). In this article, we report the synaptic characteristics of a two-terminal device, where an organic semiconductor (OSC) N, N'–dioctyl–3,4,9,10–perylenedicarboximide (PTCDI–C8) is sandwiched between Indium tin oxide (ITO) and gold (Au) on a Silicon/Silicon–dioxide (Si/SiO2) substrate, under multi-stimulus activation. The synaptic device utilizes a tungsten lamp that emits a broad spectral range from Ultraviolet (UV) to Infrared (IR) as a pre-synaptic signal, while providing a change in current as a post-synaptic signal. We demonstrate the short-term plasticity (STP) and long-term plasticity (LTP) based on exposure time. Electron-hole pairs are generated in OSC when UV–visible light is absorbed from external stimulation, which triggers the output current, whereas the IR component introduces a thermally assisted contribution that further enhances charge transport. Hence, the effect of temperature is also observed, which simultaneously acts as an external stimulation for the synaptic device. Under temperature accompanied by optical stimulation, the learning-forgetting-relearning phenomenon is also achieved in this work. Additionally, logic operation and associative learning phenomena are demonstrated by the device under IR and tungsten source. The change in current depends on the exposure time and the temperature generated on the surface. Since temperatures above 45 °C are hazardous to human beings, this synaptic device is useful in measuring and retaining this information. The incorporation of temperature with light is not commonly used as an external synaptic stimulus in the same device, hence it can find its applications in neuromorphic computing and artificial sensory neuron systems, which is also capable of sensing and retaining thermal information.

Keywords: organic semiconductors, heat and light-regulated stimulation, synaptic, learning-forgetting-relearning, associative learning.



[1]
Tang Y, Nyengaard J R, De Groot D M G, et al. Total regional and global number of synapses in the human brain neocortex. Synapse, 2001, 41(3): 258
[2]
Finnema S J, Nabulsi N B, Eid T, et al. Imaging synaptic density in the living human brain. Science translational medicine, 2016, 8(348): 348ra96
[3]
Burr G W, Shelby R M, Sebastian A, et al. Neuromorphic computing using non-volatile memory. Adv Phys X, 2017, 2(1): 89
[4]
Ohno T, Hasegawa T, Tsuruoka T, et al. Short-term plasticity and long-term potentiation mimicked in single inorganic synapses. Nature Mater, 2011, 10(8): 591
[5]
Seok H, Lee D, Son S, et al. Beyond von Neumann architecture: Brain-inspired artificial neuromorphic devices and integrated computing. Adv Elect Materials, 2024, 10(8): 2300839
[6]
Pershin Y V, Di Ventra M. Neuromorphic, digital, and quantum computation with memory circuit elements. Proc IEEE, 2012, 100(6): 2071
[7]
Liu X, Huang W, Kai C H, et al. Photogated synaptic transistors based on the heterostructure of 4H-SiC and organic semiconductors for neuromorphic ultraviolet vision. ACS Appl Electron Mater, 2023, 5(1): 367
[8]
Yang C D, Qian J, Jiang S, et al. An optically modulated organic Schottky-barrier planar-diode-based artificial synapse. Adv Opt Mater, 2020, 8(13): 2000153
[9]
Li C, Gu Y J, Li X M, et al. A light-responsive molecular dielectric surface for ultraviolet-selective organic optoelectronic artificial synapses. ACS Appl Electron Mater, 2025, 7(11): 4832
[10]
Lan S Q, Ke Y D, Chen H P. Photonic synaptic transistor based on P-type organic semiconductor blending with N-type organic semiconductor. IEEE Electron Device Lett, 2021, 42(8): 1180
[11]
Fan L Z, Kim D K, Jennings J H, et al. All-optical physiology resolves a synaptic basis for behavioral timescale plasticity. Cell, 2023, 186(3): 543
[12]
Van Hook M J. Temperature effects on synaptic transmission and neuronal function in the visual thalamus. PLoS One, 2020, 15(4): e0232451
[13]
Feng Z D, Saha L, Dritsa C, et al. Temperature-dependent structural plasticity of hippocampal synapses. Front Cell Neurosci, 2022, 16: 1009970
[14]
Pyott S J, Rosenmund C. The effects of temperature on vesicular supply and release in autaptic cultures of rat and mouse hippocampal neurons. J Physiol, 2002, 539(2): 523
[15]
Montgomery J C, MacDonald J A. Effects of temperature on nervous system: Implications for behavioral performance. Am J Physiol Regul Integr Comp Physiol, 1990, 259(2): R191
[16]
Gao Y, Han X E, Gao X, et al. Temperature-dependent plasticity in organic synaptic transistors for adaptive learning and data encryption. Mater Des, 2025, 255: 114152
[17]
Li E L, Lin W K, Yan Y J, et al. Synaptic transistor capable of accelerated learning induced by temperature-facilitated modulation of synaptic plasticity. ACS Appl Mater Interfaces, 2019, 11(49): 46008
[18]
Ghosh S, Shukla G, Kumar P. Artificial short term synaptic behavior of organic polymer device capable of detecting both visible and infrared signals. Mater Today Commun, 2025, 47: 113115
[19]
Wang H N, Li Y, Yao B, et al. Gold nanoparticles-decorated N, N'-dioctyl-3, 4, 9, 10-perylene tetracarboxylic diimide active layer towards remarkably enhanced visible-light photoresponse of an n-type organic phototransistor. Thin Solid Films, 2021, 718: 138478
[20]
Efros A L, Delehanty J B, Huston A L, et al. Evaluating the potential of using quantum dots for monitoring electrical signals in neurons. Nature Nanotech, 2018, 13(4): 278
[21]
Godavarthi S K, Hiramoto M, Ignatyev Y, et al. Postsynaptic receptors regulate presynaptic transmitter stability through transsynaptic bridges. Proc Natl Acad Sci U S A, 2024, 121(15): e2318041121
[22]
Lovinger D M, Mateo Y, Johnson K A, et al. Local modulation by presynaptic receptors controls neuronal communication and behaviour. Nat Rev Neurosci, 2022, 23(4): 191
[23]
Hao D D, Chen T Q, Guo P, et al. Artificial optoelectronic synaptic devices based on vertical organic field-effect transistors with low energy consumption. Adv Compos Hybrid Mater, 2023, 6(4): 129
[24]
Osaki T, Duenki T, Chow S Y A, et al. Complex activity and short-term plasticity of human cerebral organoids reciprocally connected with axons. Nat Commun, 2024, 15: 2945
[25]
Pantev C, Wollbrink A, Roberts L E, et al. Short-term plasticity of the human auditory cortex. Brain Res, 1999, 842(1): 192
[26]
Zhao P F, Peng X Y, Cui M Q, et al. Multifunctional two-terminal optoelectronic synapse based on an organic semiconductor film. ACS Appl Polym Mater, 2023, 5(10): 8764
[27]
Mukherjee B, Sim K, Shin T J, et al. Organic phototransistors based on solution grown, ordered single crystalline arrays of a π-conjugated molecule. J Mater Chem, 2012, 22(7): 3192
[28]
Sun Y M, Wang Y F, Yuan Q. Artificial nociceptor based on temperature responsive of synaptic transistor for electronic skin. Appl Mater Today, 2024, 40: 102355
[29]
López J C. A fresh look at paired-pulse facilitation. Nat Rev Neurosci, 2001, 2(5): 307
[30]
Atluri P P, Regehr W G. Determinants of the time course of facilitation at the granule cell to Purkinje cell synapse. J Neurosci, 1996, 16(18): 5661
[31]
Zhang Y C, Chen H, Sun W Q, et al. All-photonic synapses for biomimetic ocular system. Adv Funct Mater, 2024, 34(49): 2409419
[32]
Zucker R S, Regehr W G. Short-term synaptic plasticity. Annu Rev Physiol, 2002, 64: 355
[33]
Monday H R, Younts T J, Castillo P E. Long-term plasticity of neurotransmitter release: Emerging mechanisms and contributions to brain function and disease. Annu Rev Neurosci, 2018, 41: 299
[34]
Atkinson R C, Shiffrin R M. Human memory: A proposed system and its control processes. Psychology of Learning and Motivation. Amsterdam: Elsevier, 1968: 89
[35]
Fisher J S, Radvansky G A. Degree of learning and linear forgetting. Q J Exp Psychol, 2022, 75(8): 1483
[36]
Murre J M J, Dros J. Replication and analysis of ebbinghaus’ forgetting curve. PLoS One, 2015, 10(7): e0120644
[37]
Hu S G, Liu Y, Chen T P, et al. Emulating the Ebbinghaus forgetting curve of the human brain with a NiO-based memristor. Appl Phys Lett, 2013, 103(13): 133701
[38]
Tian Q L, Chen X T, Zhao X N, et al. Temperature-modulated switching behaviors of diffusive memristor for biorealistic emulation of synaptic plasticity. Appl Phys Lett, 2023, 122(15): 153502
[39]
Chen D D, Choi Y, Qian C, et al. Stabilizing analog signal processing of artificial synapse under heat fluctuations through light-temperature antagonistic operation. Adv Funct Mater, 2024, 34(39): 2405244
[40]
Wang S Y, Shi X F, Gong J Y, et al. Artificial retina based on organic heterojunction transistors for mobile recognition. Nano Lett, 2024, 24(10): 3204
[41]
Qian C, Oh S, Choi Y, et al. Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing. Nano Energy, 2019, 66: 104095
Fig. 1.  (Color online) (a) Schematic diagram of the biological synaptic structure. (b) 3D illustration of the vertical two-terminal synaptic device. (c) Chemical structure of PTCDI–C8.

DownLoad: Full-Size Img PowerPoint
Fig. 2.  (Color online) AFM images of (a) PTCDI–C8 and (b) ITO on top of PTCDI–C8.

DownLoad: Full-Size Img PowerPoint
Fig. 3.  (Color online) (a) EPSC variation with time for 5 s pulse at a constant bias of 100 mV. (b) Voltage measurement of the device under various external stimulation at a constant current of 2 µA. Multi-stimuli denote the tungsten source, which acts as optical stimulation along with the temperature. An IR source that only produces temperature acts as a single stimulus. (c) The change in EPSC by varying the distance between the device and the source.

DownLoad: Full-Size Img PowerPoint
Fig. 4.  (Color online) (a) A pair of pulses having both width and interval of 5 s to induce EPSC. (b) The variation of the PPF index with pulse interval.

DownLoad: Full-Size Img PowerPoint
Fig. 5.  (Color online) STP to LTP conversion by (a) multiple pulses, (c) by increasing pulse width. (b) The decay process of EPSC after removing the stimulation for multiple pulses up to 100 s. (d) Retention property up to 1500 s while in LTP for different pulse widths.

DownLoad: Full-Size Img PowerPoint
Fig. 6.  (Color online) Learning behaviour of the device. (a) Schematic diagram of the memory consolidation process. (b) 20 pulses of duration and interval both are 5 s, 150 s retention, and finally, only two pulses are required to reach the same learning state.

DownLoad: Full-Size Img PowerPoint
Fig. 7.  (Color online) (a) Schematic of the logic gate operation. (b) Truth table for ‘And’ and ‘OR’ gate. 1 s and 2 s pulse are taken as input parameters. The change in EPSCs is mentioned in the parentheses. (c) and (d) ‘AND’ and ‘OR’ operation under IR and Tungsten source, respectively. (e) Mimicking Pavlov’s dog learning behavior. 5 pulses (width and interval of 3 s) of IR and Tungsten sources act as bell and food, respectively.

DownLoad: Full-Size Img PowerPoint
Fig. 8.  (Color online) (a) EPSC behavior of the device with various voltages. (b) EPSC triggered multiple times for 2500 s to check the repeatability of the device at 5 V. (c) Change in EPSC of the fresh device and after one year.

DownLoad: Full-Size Img PowerPoint

Table 1.   Comparison of recent devices incorporating temperature as an external stimulus.

Device structureType of contactChannel layer preparationExternal stimulationCharacteristics time from PPF index (τ1, τ2)Synaptic
properties
Ref.
Si/TaOx/PMMA/Pentacene/CuTransistorThermal depositionTemperature dependent voltage pulse68-245 ms, 0.917-1.231 sEPSC, PPF index, post-tetanic potentiation, information encryption, decryption, self-annihilation[16]
Pt/Amorphous carbon/AgTwo-terminalSputtering methodVoltage pulse with temperature modulation-EPSC, STP, LTP, LTD, STDP,
forgetting behavior		[38]
Glass/ITO/Chitosan/PVA+PVK/AlTransistorSpin-coatingVoltage pulse with the variation of temperature1.6 s, 35.2 sEPSC, STP, PPF index, LTP, associative learning[28]
Si/PTCDI–C8/CuPc/AuTransistorThermal evaporationVoltage pulse with light-temperature ambivalent-EPSC, STP, LTP, LTD[39]
Si/SiO2 /PVP+QD/IDTBT/AuTransistorSpin-coatingVoltage pulse with different temperatures589 msEPSC, STP, PPF index, LTP, LTD, associative learning[17]
Si/SiO2/PMMA/C8-BTBT//PTCDI–C8/AuThree-terminalThermal evaporationLight pulse, 405 nm, 520 nm-EPSC, PPF index, Visual transient effect, visual memory system[40]
Si/SiO2/p-6P/CuPc/AuThree- terminalThermal evaporationOptical pulse, 365 nm along with voltage pulse-EPSC, STP, LTP, LTD, image recognition[41]
aSi/SiO2 /Au/PTCDI–C8/ITOTwo-terminalSpin-coatingSimultaneous opto-thermal co-stimulation13.18 sEPSC, STP, PPF index, LTP, learning-forgetting-relearning, logic gate, associative learningThis work
aWe have used dynamic thermal stimulus (IR) coupled with optical excitation (Uv–Vis) unlike conventional works where temperature is a static external condition.
DownLoad: CSV
[1]
Tang Y, Nyengaard J R, De Groot D M G, et al. Total regional and global number of synapses in the human brain neocortex. Synapse, 2001, 41(3): 258
[2]
Finnema S J, Nabulsi N B, Eid T, et al. Imaging synaptic density in the living human brain. Science translational medicine, 2016, 8(348): 348ra96
[3]
Burr G W, Shelby R M, Sebastian A, et al. Neuromorphic computing using non-volatile memory. Adv Phys X, 2017, 2(1): 89
[4]
Ohno T, Hasegawa T, Tsuruoka T, et al. Short-term plasticity and long-term potentiation mimicked in single inorganic synapses. Nature Mater, 2011, 10(8): 591
[5]
Seok H, Lee D, Son S, et al. Beyond von Neumann architecture: Brain-inspired artificial neuromorphic devices and integrated computing. Adv Elect Materials, 2024, 10(8): 2300839
[6]
Pershin Y V, Di Ventra M. Neuromorphic, digital, and quantum computation with memory circuit elements. Proc IEEE, 2012, 100(6): 2071
[7]
Liu X, Huang W, Kai C H, et al. Photogated synaptic transistors based on the heterostructure of 4H-SiC and organic semiconductors for neuromorphic ultraviolet vision. ACS Appl Electron Mater, 2023, 5(1): 367
[8]
Yang C D, Qian J, Jiang S, et al. An optically modulated organic Schottky-barrier planar-diode-based artificial synapse. Adv Opt Mater, 2020, 8(13): 2000153
[9]
Li C, Gu Y J, Li X M, et al. A light-responsive molecular dielectric surface for ultraviolet-selective organic optoelectronic artificial synapses. ACS Appl Electron Mater, 2025, 7(11): 4832
[10]
Lan S Q, Ke Y D, Chen H P. Photonic synaptic transistor based on P-type organic semiconductor blending with N-type organic semiconductor. IEEE Electron Device Lett, 2021, 42(8): 1180
[11]
Fan L Z, Kim D K, Jennings J H, et al. All-optical physiology resolves a synaptic basis for behavioral timescale plasticity. Cell, 2023, 186(3): 543
[12]
Van Hook M J. Temperature effects on synaptic transmission and neuronal function in the visual thalamus. PLoS One, 2020, 15(4): e0232451
[13]
Feng Z D, Saha L, Dritsa C, et al. Temperature-dependent structural plasticity of hippocampal synapses. Front Cell Neurosci, 2022, 16: 1009970
[14]
Pyott S J, Rosenmund C. The effects of temperature on vesicular supply and release in autaptic cultures of rat and mouse hippocampal neurons. J Physiol, 2002, 539(2): 523
[15]
Montgomery J C, MacDonald J A. Effects of temperature on nervous system: Implications for behavioral performance. Am J Physiol Regul Integr Comp Physiol, 1990, 259(2): R191
[16]
Gao Y, Han X E, Gao X, et al. Temperature-dependent plasticity in organic synaptic transistors for adaptive learning and data encryption. Mater Des, 2025, 255: 114152
[17]
Li E L, Lin W K, Yan Y J, et al. Synaptic transistor capable of accelerated learning induced by temperature-facilitated modulation of synaptic plasticity. ACS Appl Mater Interfaces, 2019, 11(49): 46008
[18]
Ghosh S, Shukla G, Kumar P. Artificial short term synaptic behavior of organic polymer device capable of detecting both visible and infrared signals. Mater Today Commun, 2025, 47: 113115
[19]
Wang H N, Li Y, Yao B, et al. Gold nanoparticles-decorated N, N'-dioctyl-3, 4, 9, 10-perylene tetracarboxylic diimide active layer towards remarkably enhanced visible-light photoresponse of an n-type organic phototransistor. Thin Solid Films, 2021, 718: 138478
[20]
Efros A L, Delehanty J B, Huston A L, et al. Evaluating the potential of using quantum dots for monitoring electrical signals in neurons. Nature Nanotech, 2018, 13(4): 278
[21]
Godavarthi S K, Hiramoto M, Ignatyev Y, et al. Postsynaptic receptors regulate presynaptic transmitter stability through transsynaptic bridges. Proc Natl Acad Sci U S A, 2024, 121(15): e2318041121
[22]
Lovinger D M, Mateo Y, Johnson K A, et al. Local modulation by presynaptic receptors controls neuronal communication and behaviour. Nat Rev Neurosci, 2022, 23(4): 191
[23]
Hao D D, Chen T Q, Guo P, et al. Artificial optoelectronic synaptic devices based on vertical organic field-effect transistors with low energy consumption. Adv Compos Hybrid Mater, 2023, 6(4): 129
[24]
Osaki T, Duenki T, Chow S Y A, et al. Complex activity and short-term plasticity of human cerebral organoids reciprocally connected with axons. Nat Commun, 2024, 15: 2945
[25]
Pantev C, Wollbrink A, Roberts L E, et al. Short-term plasticity of the human auditory cortex. Brain Res, 1999, 842(1): 192
[26]
Zhao P F, Peng X Y, Cui M Q, et al. Multifunctional two-terminal optoelectronic synapse based on an organic semiconductor film. ACS Appl Polym Mater, 2023, 5(10): 8764
[27]
Mukherjee B, Sim K, Shin T J, et al. Organic phototransistors based on solution grown, ordered single crystalline arrays of a π-conjugated molecule. J Mater Chem, 2012, 22(7): 3192
[28]
Sun Y M, Wang Y F, Yuan Q. Artificial nociceptor based on temperature responsive of synaptic transistor for electronic skin. Appl Mater Today, 2024, 40: 102355
[29]
López J C. A fresh look at paired-pulse facilitation. Nat Rev Neurosci, 2001, 2(5): 307
[30]
Atluri P P, Regehr W G. Determinants of the time course of facilitation at the granule cell to Purkinje cell synapse. J Neurosci, 1996, 16(18): 5661
[31]
Zhang Y C, Chen H, Sun W Q, et al. All-photonic synapses for biomimetic ocular system. Adv Funct Mater, 2024, 34(49): 2409419
[32]
Zucker R S, Regehr W G. Short-term synaptic plasticity. Annu Rev Physiol, 2002, 64: 355
[33]
Monday H R, Younts T J, Castillo P E. Long-term plasticity of neurotransmitter release: Emerging mechanisms and contributions to brain function and disease. Annu Rev Neurosci, 2018, 41: 299
[34]
Atkinson R C, Shiffrin R M. Human memory: A proposed system and its control processes. Psychology of Learning and Motivation. Amsterdam: Elsevier, 1968: 89
[35]
Fisher J S, Radvansky G A. Degree of learning and linear forgetting. Q J Exp Psychol, 2022, 75(8): 1483
[36]
Murre J M J, Dros J. Replication and analysis of ebbinghaus’ forgetting curve. PLoS One, 2015, 10(7): e0120644
[37]
Hu S G, Liu Y, Chen T P, et al. Emulating the Ebbinghaus forgetting curve of the human brain with a NiO-based memristor. Appl Phys Lett, 2013, 103(13): 133701
[38]
Tian Q L, Chen X T, Zhao X N, et al. Temperature-modulated switching behaviors of diffusive memristor for biorealistic emulation of synaptic plasticity. Appl Phys Lett, 2023, 122(15): 153502
[39]
Chen D D, Choi Y, Qian C, et al. Stabilizing analog signal processing of artificial synapse under heat fluctuations through light-temperature antagonistic operation. Adv Funct Mater, 2024, 34(39): 2405244
[40]
Wang S Y, Shi X F, Gong J Y, et al. Artificial retina based on organic heterojunction transistors for mobile recognition. Nano Lett, 2024, 24(10): 3204
[41]
Qian C, Oh S, Choi Y, et al. Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing. Nano Energy, 2019, 66: 104095

    • Search

    Advanced Search >>

    GET CITATION

    shu

    Export: BibTex EndNote

    Article Metrics

    Article views: 2 Times PDF downloads: 0 Times Cited by: 0 Times

    History

    Received: Revised: Online: Accepted Manuscript: 07 August 2026

    Catalog

      Email This Article

      User name:
      Email:*请输入正确邮箱
      Code:*验证码错误
      Send
      Article Navigation >  Journal of Semiconductors  > 2026  > Accepted Manuscript
      Sirsendu Ghosh, Gaurav Shukla, Ramesh Singh Bisht, Pramod Kumar. Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids[J]. Journal of Semiconductors, 2026, In Press. doi: 10.1088/1674-4926/26040010 ****S Ghosh, G Shukla, R S Bisht, and P Kumar, Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids[J]. J. Semicond., 2026, accepted doi: 10.1088/1674-4926/26040010
      Citation:
      Sirsendu Ghosh, Gaurav Shukla, Ramesh Singh Bisht, Pramod Kumar. Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids[J]. Journal of Semiconductors, 2026, In Press. doi: 10.1088/1674-4926/26040010 ****
      S Ghosh, G Shukla, R S Bisht, and P Kumar, Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids[J]. J. Semicond., 2026, accepted doi: 10.1088/1674-4926/26040010
      shu

      Thermo-optoelectronic synaptic device for heat and light-regulated neuromorphic applications and artificial sensory neuron system for humanoids

      DOI: 10.1088/1674-4926/26040010
      CSTR: 32376.14.1674-4926.26040010

      • Department of Physics, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India

      More Information
      • Sirsendu Ghosh received his B.Sc. and M.Sc. degrees in Physics from the University of Calcutta, India, in 2018 and 2020, respectively. He is currently a doctoral student at the Indian Institute of Technology Bombay, India. His research interests include simulation and experimental studies of organic semiconductor-based devices, particularly field-effect transistors, resistive switching, neuromorphic computing, and emerging memory technologies
      • Gaurav Shukla received his B.Sc. and M.Sc. degrees from the University of Allahabad, India, and earned his Ph.D. in Physics from the DST-Centre for Nano and Soft Matter Sciences, Bangalore, in 2022. He subsequently held postdoctoral positions at the Indian Institute of Technology Bombay and the Nanoscience Institute–CNR, Pisa, Italy, before joining the National Quantum Mission of India in 2025. His research focuses on nanofabrication, quantum and superconducting devices, neuromorphic systems, surface engineering, structural colors, and plasmonic nanostructures, bridging materials science, condensed matter physics, and device engineering
      • Pramod Kumar is a professor and doctoral advisor at the Department of Physics, Indian Institute of Technology Bombay. He received his PhD from Jawaharlal Nehru University, New Delhi, India. He later held postdoc positions at the Israel Institute of Technology, Haifa, Israel and the Biorobotics Institute, Pontedera, Scuola Superiore Sant'Anna, Pisa, Italy. His primary research interests focus on the application of organic semiconductors, the interface between organic and inorganic semiconductors, charge carrier transport in disordered systems, field effect transistors, sensors and artificial intelligence integration with sensors and devices
      • Corresponding author: pramod_k@iitb.ac.in
      • Available Online: 2026-08-07

      Catalog

        Journal of Semiconductors © 2017 All Rights Reserved   京ICP备05085259号-2

        /

        DownLoad:  Full-Size Img  PowerPoint
        Return
        Return