Results 31 to 40 of about 75,579 (226)

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A Meta-Analysis of the Nomological Network of Knowledge Hiding in Organizations

, 2023
Over the past two decades, knowledge hiding has rapidly emerged as an important research stream in the organizational behavior and knowledge management literatures.
Abdul Karim Khan, Zeeshan Ahmed Bhatti, Cort W. Rudolph, Ghulam Ali Arain, Imran Hameed   +4 more
core   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Impact of authoritarian leadership on knowledge hiding: the serial multiple mediation effects of hindrance stressors and job insecurity

Frontiers in Psychology
IntroductionIn an increasingly knowledge driven economy, understanding how authoritarian leadership shapes employees’ knowledge hiding is critical for sustaining organizational learning and adaptability.
Bowen Shan, Xiu Jin
doaj   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Dark triad and knowledge hiding in firms: Mediating role of perceived organizational politics

Acta Psychologica
Negative behaviors at the workplace always disturb the management of the firms. This research investigates the link between the dark triad and various types of Knowledge hiding (Evasive hiding, Playing dumb, and Rationalized hiding) in firms. In addition,
Yiyu Wang, Muhammad Waseem Bari, Sadia Shaheen, Xiaoying Liu   +3 more
doaj   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

De Novo Design and Structural Optimization of Mn(salen)‐Based Artificial Metalloenzymes for Asymmetric Sulfoxidation

Angewandte Chemie, EarlyView.
We report the computational design of de novo proteins that bind Mn(salen)‐based complexes (L1) using Rosetta FastDesign and verified by AlphaFold2. After screening, the catalytic activity for the promising design (dnMSBP) toward enantioselective sulfoxidation of thioanisole was optimized based on its crystal structure. With 10 different substrates, we
Jing‐Xiang Wang, Yunling Deng, Indrek Kalvet, Amira Haque, Huiguang Dai, David Baker, Yi Lu   +6 more
wiley   +2 more sources

Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl

Advanced Science, EarlyView.
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, Sungwoo Kang, Atefeh Yadegarifard, Hyun‐Jae Lee, Nongnuch Artrith, Jung‐Hoon Lee, Byungju Lee   +6 more
wiley   +1 more source