Results 221 to 230 of about 11,306 (258)
Flanking‐Group Engineering Unlocks Emerging Functionalities in Diketopyrrolopyrrole Semiconductors
This review presents a comprehensive and unified perspective of flanking‐group engineering in Diketopyrrolopyrrole (DPP) based organic semiconductors that connects molecular‐level design with cross‐device functionalities. By integrating insights from molecular design, solid‐state packing, and device physics, this review seeks to establish general ...
Xiaoyun Wu +5 more
wiley +1 more source
Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl
Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang +6 more
wiley +1 more source
A non‐filamentary self‐rectifying HfO2/TiOx resistive random‐access memory integrates H2 annealing with an incremental step pulse with verify algorithm to achieve stable and linear analog conductance modulation. The device enables low‐current 6‐bit multilevel operation while suppressing sneak current in crossbar arrays. Implemented in Transformer‐based
Seonjeong Lee +5 more
wiley +1 more source
High‐throughput antibiotic cross‐gradient assays on microdroplet arrays. A multichannel printhead together with five pressure regulators forms droplet arrays of up to 20 832 droplets within 25 minutes. Each droplet contains unique concentrations of antibiotics, allowing to moniture a vast spectrum of bacterial repsonses over night. The bacterial growth
M. Breitfeld +5 more
wiley +1 more source
Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception
A bioinspired ionochromic neuromorphic transistor couples synaptic conductance modulation with reversible color change through voltage‐controlled ion doping in P3HT/ion gel, mimicking biological synaptic plasticity, and chameleon‐like color regulation.
Quanxing Yao +10 more
wiley +1 more source
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2021 Conference on Information Communications Technology and Society (ICTAS), 2021
Word embeddings are currently the most popular vector space model in Natural Language Processing. How we encode words is important because it affects the performance of many downstream tasks such as Machine Translation (MT), Information Retrieval (IR) and Automatic Speech Recognition (ASR).
Sibonelo Dlamini +3 more
openaire +1 more source
Word embeddings are currently the most popular vector space model in Natural Language Processing. How we encode words is important because it affects the performance of many downstream tasks such as Machine Translation (MT), Information Retrieval (IR) and Automatic Speech Recognition (ASR).
Sibonelo Dlamini +3 more
openaire +1 more source

