Results 211 to 220 of about 88,367,282 (284)

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Stacking faults from a different angle - Overcoming the edge-on limit in high-resolution defect analysis. [PDF]

Nat Commun
Karpstein N, Müller L, Bezold A, Mills MJ, Neumeier S, Spiecker E.   +5 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Double deep reinforcement learning twin-delayed agents for performance improvement of a grid-connected wave energy conversion system. [PDF]

Sci Rep
Aldawsari F, Mahdy A, Ali ZM, Zobaa AF, Aleem SHEA, Hasanien HM.   +5 more
europepmc   +1 more source

Reversible Tuning of Multiple Molecular Kinking for Stem Cell Regulation In Vivo

Advanced Functional Materials, EarlyView.
In this work, we introduce the novel concept of background component‐free “multiple kinks” material platform composed solely of liganded multiple kink‐bearing molecules as a strategy for dynamic biomaterial design. Tri‐kink molecules enable effective near‐infrared light‐triggered ligand masking and visible light‐triggered ligand exposure, thereby ...
Kanghyeon Kim, Jeongah Shin, Chowon Kim, Honghwan Choi, Dahee Kim, Sungkyu Lee, Choongmo Kang, Hyunsik Hong, Taehoon Ha, Nayeon Kang, Jungyeon Rhi, Ramar Thangam, Yuri Kim, Jeongyun Heo, Cheol Hwan Kwak, Jangsun Hwang, Daun Jeong, Rasoul Moradi, Sunghoon Hur, Hyun‐Cheol Song, Hyun‐Do Jung, Min Jae Lee, Rongqin Huang, Pooyan Makvandi, Yun Suk Huh, Ji Hye Choi, Wenguo Cui, Sehoon Kim, Heemin Kang   +28 more
wiley   +1 more source

Infrared Imaging for Autonomous Power Inspection: A Review from Detector to System Integration. [PDF]

Sensors (Basel)
Guo Y, Du Y, Mao R, Zhao Y, Guo J.
europepmc   +1 more source

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

Advanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie, Iryna Polishchuk, Franziska Tauber, Coralie Schneider, Elena Prudnikov, Alessia Calora, Silvia Milita, Simona Fermani, Mireia Alejandra Ibanez Revert, Ilaria Filippetti, Claudio Ratti, Matthias Kellermeier, Markus Rueckel, Boaz Pokroy   +13 more
wiley   +1 more source

A novel approach for high impedance fault detection in resonant grounding systems based on statistical characteristics. [PDF]

Sci Rep
Meng Q, Gao Y, Hussain S, He Y, Li B.
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source