Results 121 to 130 of about 1,006,138 (295)
Role of the Recombination Zone in Organic Light‐Emitting Devices
Advanced Materials, EarlyView.This review summarizes the critical role of the recombination zone in organic light‐emitting diodes (OLEDs). We highlight that broadening the recombination zone in OLEDs based on emissive layers with balanced charge transport and high photoluminescence quantum yields provides a promising route toward achieving both long operational lifetime and high ...
Yungui Li, Karl Leo
wiley +1 more source
Survey of Word Embedding Models Research [PDF]
Jisuanji kexue yu tansuoAs a foundational technology in natural language processing, word embedding models map discrete linguistic symbols into continuous vector representations that computers can process.
WEN Yongqi, YANG Ruopeng, TAO Yu, ZHONG Yihao, HUANG Bo
doaj +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Testing word embeddings for Polish
Cognitive Studies | Études cognitives, 2017 Testing word embeddings for Polish Distributional Semantics postulates the representation of word meaning in the form of numeric vectors which represent words which occur in context in large text data.
Agnieszka Mykowiecka +2 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Dependencybased word embeddings
, 2014 While continuous word embeddings are gaining popularity, current models are based solely on linear contexts. In this work, we generalize the skip-gram model with negative sampling introduced by Mikolov et al. to include arbitrary con-texts. In particular,
Omer Levy, Yoav Goldberg
core +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
Advanced Materials, EarlyView.This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
Analysing Unified Embedding with Morphological Insight for Multilingual Text Representation
Engineered ScienceThe increasing complexity of multilingual text representation challenges the design of embedding techniques that can effectively capture linguistic nuances across different languages.
Akshata Phadte, Manikrao Laxmanrao Dhore
doaj +1 more source
Neural Network Models for Word Sense Disambiguation: An Overview
Cybernetics and Information Technologies, 2018 The following article presents an overview of the use of artificial neural networks for the task of Word Sense Disambiguation (WSD). More specifically, it surveys the advances in neural language models in recent years that have resulted in methods for ...
Popov Alexander
doaj +1 more source
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source