Results 151 to 160 of about 16,529 (289)

Consumption of management publications, The [PDF]

This paper focuses on the consumption phase of the process of Production-Diffusion-Consumption of management knowledge. We argue that consumers play an important role in that process, one we feel has been overlooked in most of the existing literature ...
Maza, Carmelo, Alvarez, Jose L.
core  

Insights Into CO2 Loss, pH Effects, and Tafel Kinetics in Ni Single Atom‐Driven Bicarbonate Electroreduction

Advanced Science, EarlyView.
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li, Yi‐Jie Kong, Ting Zhang, Xu Han, Kristine Aalestrup, Steen Uttrup Pedersen, Xin‐Ming Hu, Kim Daasbjerg   +7 more
wiley   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Corrigendum to "Symbolic consumption as a non-traditional predictor of brand loyalty in the sports industry, football club segment" [Heliyon Volume 9, Issue 4, April 2023, Article e15474]. [PDF]

Heliyon
Guzmán Rincón A, Carrillo Barbosa RL, Amado Mateus M, Ordoñez Saavedra N.   +3 more
europepmc   +1 more source

The Symbolic Consumption in the Tween’s Lifestyle Formation

, 2010
The world is currently facing more than ever new consumption forms loaded with symbolic contents to show certain appearance or to judge others; the sense of property is shown as a primary indicator of who you are and how you relate to others. This article pretends, first, to glimpse the goods and trademarks acquisition or possession as an expression of
openaire   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Cultures of unruly bricolage : 'debadging' and the cultural logic of resistance

, 2009
Arnould and Thompson note that the "marketplace has become a pre-eminent source of mythic and symbolic resources through which [people] construct narratives of identity' (2005: 871). Not only do consumers "actively rework and transform symbolic meanings"
Hewer, P.A., Hewer, Paul, Brownlie, Douglas   +2 more
core  

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Modulating the Charge Transfer Channels via Constructing Charge‐Assisted Hydrogen‐Bonded Organic Frameworks for Enhanced Photosynthesis of Hydrogen Peroxide

Advanced Science, EarlyView.
This work reports a strategy of engineering charge‐assisted hydrogen bonds to tailor charge transfer channels in HOFs, significantly improving their performance in photocatalytic H2O2 production. ABSTRACT The production of H2O2 via artificial photosynthesis is often limited by inefficient charge‐carrier separation, causing significant charge ...
Yajun Zhao, Xianzhi Lan, Tiantian Chen, Qijie Mo, Chao Peng, Jianbo Jia, Jiewei Liu, Cheng‐Yong Su   +7 more
wiley   +1 more source