Results 181 to 190 of about 14,339,869 (296)

Water‐Activated Phospholipid Phase‐Separation Gel as an Immunomodulatory Anti‐Adhesion Barrier for Postoperative Adhesion Prevention

Advanced Healthcare Materials, EarlyView.
A water‐activated phospholipid phase‐separation gel is repurposed as a drug‐free surgical barrier for postoperative adhesion prevention. Propylene glycol promotes rapid lamellar gel reinforcement, prolonged local retention, and tissue coverage, while phosphatidylcholine‐mediated immunomodulation suppresses inflammatory and fibrotic responses. This dual‐
Jong‐Ju Lee, Yulseung Sung, Yeji Kim, Heesang Yang, Suyeon Pyo, Byeol Yun, Sung‐Joo Hwang   +6 more
wiley   +1 more source

Can Transformers Learn $n$-gram Language Models? [PDF]

Much theoretical work has described the ability of transformers to represent formal languages. However, linking theoretical results to empirical performance is not straightforward due to the complex interplay between the architecture, the learning ...
Cotterell, Ryan, Zhou, Mike, Borenstein, Nadav, Augenstein, Isabelle, Svete, Anej   +4 more
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Are $n$-gram language models still relevant in this era of neural large language models (LLMs)? Our answer is yes, and we showcase their values in both text analysis and improving neural LLMs.
Zettlemoyer, Luke, Hajishirzi, Hannaneh, Liu, Jiacheng, Min, Sewon, Choi, Yejin   +4 more
core  

Ion‐Reconfigurable “N”‐Shaped Antiambipolar Behavior in Organic Electrochemical Transistors

Advanced Materials, EarlyView.
A unique N‐shaped negative differential transconductance (NDT) characteristics is demonstrated in single‐polymer organic electrochemical transistors through a sequential doping–redox–doping process driven by iodide ions. This redox‐driven mechanism enables low‐voltage, ion‐controlled reconfigurability and tunable current modulation, allowing seamless ...
Debdatta Panigrahi, Daniele Zucchelli, Zeinab Hamid, Christina Kousseff, Arup Sarkar, Aristea Pavlou, Zhitian Ling, Somayeh Kashani, Iain McCulloch, Paul W. M. Blom, Fabrizio Torricelli, Paschalis Gkoupidenis   +11 more
wiley   +1 more source

N-gram Parsing for Jointly Training a Discriminative Constituency Parser

, 2017
Syntactic parsers are designed to detect the complete syntactic structure of grammatically correct sentences. In this paper, we introduce the concept of n-gram parsing, which corresponds to generating the constituency parse tree of n consecutive words in
Celebi, Arda, Ozgur, Arzucan
core  

Ultrafast Vertical Organic Electrochemical Transistors With Ion‐Permeable Conductive Polymer Top Electrodes

Advanced Materials, EarlyView.
Vertical organic electrochemical transistors (vOECTs) are limited in speed by ion‐impermeable metal electrodes that slow ion injection. Using ion‐permeable PBFDO top electrodes allows direct vertical ion injection into BBL channels, achieving high current densities (>400 A cm−2), large on/off ratios (>106), and ultrafast switching in 28 µs. This sets a
Han‐Yan Wu, Yingxue An, Luigi Fabiano, Qifan Li, Qingqing Wang, Feng Zhang, Wenlong Jin, Miao Xiong, Junpeng Ji, Ugo Bruno, Grzegorz Greczynski, Grazia Maria Lucia Messina, Xianjie Liu, Chi‐Yuan Yang, Simone Fabiano   +14 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

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, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source