Results 181 to 190 of about 2,381 (268)

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, Volume 8, Issue 6, June 2026.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

Brain-inspired synaptic transistors for in-situ spiking reinforcement learning with eligibility trace. [PDF]

Nat Commun
Wang Y, Xiong W, Yan J, Zhou Y, Zhu C, Miao X, He Y, Chai Y.   +7 more
europepmc   +1 more source

Investigating the Ferroelectric Potential Landscape of 3R‐MoS2 Through Optical Measurements

physica status solidi (RRL) – Rapid Research Letters, Volume 20, Issue 6, June 2026.
3R‐stacked MoS2 contains mesoscopic ferroelectric domains that can be mapped using Kelvin force microscopy. However, this technique is rather slow and requires electrically conductive substrates. We demonstrate that room‐temperature Raman and photoluminescence spectroscopy also give similar insight into the ferroelectric stacking order and allow for ...
Jan‐Niklas Heidkamp, Johannes Schwandt‐Krause, Swarup Deb, Kenji Watanabe, Takashi Taniguchi, Zdeněk Sofer, Rico Schwartz, Tobias Korn   +7 more
wiley   +1 more source

A machine-learning virtual source model for nanoscale transistors. [PDF]

Sci Rep
Yang Q, Guo J.
europepmc   +1 more source

Recent Developments in Deep‐Ultraviolet Flat Optics

Nanophotonics, Volume 15, Issue 10, 27 May 2026.
Deep‐ultraviolet flat optics (DUVFO) is emerging as a key platform for next‐generation photonics, enabling advanced functionalities beyond conventional DUV optics. This review outlines materials, devices, and system advances, highlighting wide‐bandgap platforms, while identifying key challenges in dispersion control, characterization, and wafer‐scale ...
Omar A. M. Abdelraouf, Tao Wang, Zeng Wang   +2 more
wiley   +1 more source

Ferroelectric-to-paraelectric phase engineering for 2D layered ultra-high-<i>κ</i> dielectrics. [PDF]

Natl Sci Rev
Yan J, Guo J, Xu Z, Wan T, Li J, Zhang B, Wang C, Chen H, Zhu Y, Chai Y.   +9 more
europepmc   +1 more source

Hafnium-Based Ferroelectric Post-Moore Electronics: Device Physics, Integration Architectures, and Neuromorphic System Implementation. [PDF]

Nanomicro Lett
Chen X, Wang Z, Meng J, Wang T.
europepmc   +1 more source

Self-Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges. [PDF]

Small
Torricelli F, Pace G.
europepmc   +1 more source

Multisensory Neuromorphic Devices: From Physics to Integration. [PDF]

Nanomicro Lett
Gui A, Mu H, Yang R, Zhang G, Lin S.
europepmc   +1 more source

A Review on Multi-Level Asymmetric Design for 2D Neuromorphic Devices. [PDF]

Nanomicro Lett
Sun Y, Gao Y, Wang Z, Cai Z, Liu Z, Xu J.   +5 more
europepmc   +1 more source