Recent advances in 2D material theory, synthesis, properties, and applications
Two-dimensional (2D) material research is rapidly evolving to broaden the spectrum of
emergent 2D systems. Here, we review recent advances in the theory, synthesis …
emergent 2D systems. Here, we review recent advances in the theory, synthesis …
Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
A bio-inspired visuotactile neuron for multisensory integration
Multisensory integration is a salient feature of the brain which enables better and faster
responses in comparison to unisensory integration, especially when the unisensory cues …
responses in comparison to unisensory integration, especially when the unisensory cues …
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Artificial neural networks have demonstrated superiority over traditional computing
architectures in tasks such as pattern classification and learning. However, they do not …
architectures in tasks such as pattern classification and learning. However, they do not …
Dielectrics for two-dimensional transition-metal dichalcogenide applications
Despite over a decade of intense research efforts, the full potential of two-dimensional
transition-metal dichalcogenides continues to be limited by major challenges. The lack of …
transition-metal dichalcogenides continues to be limited by major challenges. The lack of …
Generative complex networks within a dynamic memristor with intrinsic variability
Y Guo, W Duan, X Liu, X Wang, L Wang… - Nature …, 2023 - nature.com
Artificial neural networks (ANNs) have gained considerable momentum in the past decade.
Although at first the main task of the ANN paradigm was to tune the connection weights in …
Although at first the main task of the ANN paradigm was to tune the connection weights in …
Hardware and information security primitives based on 2D materials and devices
Hardware security is a major concern for the entire semiconductor ecosystem that accounts
for billions of dollars in annual losses. Similarly, information security is a critical need for the …
for billions of dollars in annual losses. Similarly, information security is a critical need for the …
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks
Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from
limited, noisy data. Bayesian neural networks excel at such tasks, offering predictive …
limited, noisy data. Bayesian neural networks excel at such tasks, offering predictive …
Ultrascaled Contacts to Monolayer MoS2 Field Effect Transistors
Two-dimensional (2D) semiconductors possess promise for the development of field-effect
transistors (FETs) at the ultimate scaling limit due to their strong gate electrostatics …
transistors (FETs) at the ultimate scaling limit due to their strong gate electrostatics …
An all 2D bio-inspired gustatory circuit for mimicking physiology and psychology of feeding behavior
Animal behavior involves complex interactions between physiology and psychology.
However, most AI systems neglect psychological factors in decision-making due to a limited …
However, most AI systems neglect psychological factors in decision-making due to a limited …