Organic electronics for neuromorphic computing
Neuromorphic computing could address the inherent limitations of conventional silicon
technology in dedicated machine learning applications. Recent work on silicon-based …
technology in dedicated machine learning applications. Recent work on silicon-based …
Memristive synapses and neurons for bioinspired computing
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
Biomaterial-based nonvolatile resistive memory devices toward ecofriendliness and biocompatibility
Advancement in electronic industry has revolutionized the lifestyle of mankind at the cost of
leaving adverse effects on the environment due to the use of toxic and nondegradable …
leaving adverse effects on the environment due to the use of toxic and nondegradable …
Charge disproportionate molecular redox for discrete memristive and memcapacitive switching
Electronic symmetry breaking by charge disproportionation results in multifaceted changes
in the electronic, magnetic and optical properties of a material, triggering ferroelectricity …
in the electronic, magnetic and optical properties of a material, triggering ferroelectricity …
Organic small molecule-based RRAM for data storage and neuromorphic computing
Inexpensive and flexible organic resistive memory can be easily fabricated, scaled and
stacked. Owing to these advantages, organic resistive memory is considered as a very …
stacked. Owing to these advantages, organic resistive memory is considered as a very …
270 nm ultra-thin self-adhesive conformable and long-term air-stable complimentary organic transistors and amplifiers
MJ Mirshojaeian Hosseini, Y Yang, W Kruger… - npj Flexible …, 2023 - nature.com
Lightweight, flexible, and conformal bioelectronics are essential for wearable technologies.
This paper introduces 270 nm thin organic electronics amplifying circuits that are self …
This paper introduces 270 nm thin organic electronics amplifying circuits that are self …
Memristor-based neural networks with weight simultaneous perturbation training
C Wang, L Xiong, J Sun, W Yao - Nonlinear Dynamics, 2019 - Springer
The training of neural networks involves numerous operations on the weight matrix. If neural
networks are implemented in hardware, all weights will be updated in parallel. However …
networks are implemented in hardware, all weights will be updated in parallel. However …
Fabrication of carboxymethyl cellulose and graphene oxide bio-nanocomposites for flexible nonvolatile resistive switching memory devices
Nowadays the development of natural biomaterials as promising building polymers for
flexible, biodegradable, biocompatible and environmentally friendly electronic devices is of …
flexible, biodegradable, biocompatible and environmentally friendly electronic devices is of …
Metal organic spin transistor
Organic molecules and specifically bio-organic systems are attractive for applications due to
their low cost, variability, environmental friendliness, and facile manufacturing in a bottom-up …
their low cost, variability, environmental friendliness, and facile manufacturing in a bottom-up …
High frequency meminductor emulator employing VDTA and its application
This research article comes with a grounded as well as floating meminductor using voltage
difference transconductance amplifier (VDTA). The proposed meminductor models have …
difference transconductance amplifier (VDTA). The proposed meminductor models have …