The development of integrated circuits based on two-dimensional materials
Abstract Two-dimensional (2D) materials could potentially be used to develop advanced
monolithic integrated circuits. However, despite impressive demonstrations of single devices …
monolithic integrated circuits. However, despite impressive demonstrations of single devices …
Semiconductor quantum dots for memories and neuromorphic computing systems
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …
development of high-performance storage technologies and brain-inspired neuromorphic …
Thousands of conductance levels in memristors integrated on CMOS
Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …
energy efficiency for machine learning, and artificial intelligence, especially in edge …
Emergent ferroelectricity in subnanometer binary oxide films on silicon
The critical size limit of voltage-switchable electric dipoles has extensive implications for
energy-efficient electronics, underlying the importance of ferroelectric order stabilized at …
energy-efficient electronics, underlying the importance of ferroelectric order stabilized at …
Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks
Two-dimensional materials could play an important role in beyond-CMOS (complementary
metal–oxide–semiconductor) electronics, and the development of memristors for information …
metal–oxide–semiconductor) electronics, and the development of memristors for information …
Memristor-based biomimetic compound eye for real-time collision detection
The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …
neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …
Roadmap on emerging hardware and technology for machine learning
Recent progress in artificial intelligence is largely attributed to the rapid development of
machine learning, especially in the algorithm and neural network models. However, it is the …
machine learning, especially in the algorithm and neural network models. However, it is the …
Electrical characterization of 2D materials-based field-effect transistors
Abstract Two-dimensional (2D) materials hold great promise for future nanoelectronics as
conventional semiconductor technologies face serious limitations in performance and power …
conventional semiconductor technologies face serious limitations in performance and power …
In situ Nafion-nanofilm oriented (002) Zn electrodeposition for long-term zinc-ion batteries
Dendrite growth and parasitic reactions of a Zn metal anode in aqueous media hinder the
development of up-and-coming Zn-ion batteries. Optimizing the crystal growth after Zn …
development of up-and-coming Zn-ion batteries. Optimizing the crystal growth after Zn …
Nanoscale multistate resistive switching in WO3 through scanning probe induced proton evolution
Multistate resistive switching device emerges as a promising electronic unit for energy-
efficient neuromorphic computing. Electric-field induced topotactic phase transition with ionic …
efficient neuromorphic computing. Electric-field induced topotactic phase transition with ionic …