Results 211 to 220 of about 135,414 (287)

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre   +2 more
wiley   +1 more source

Wind direction dataset for typical meteorological year of indonesia based on monte carlo method. [PDF]

open access: yesData Brief
Yuda IWA   +7 more
europepmc   +1 more source

Carbon‐14 Perovskite Betavoltaics Reach Record 10.79% Efficiency

open access: yesCarbon Energy, EarlyView.
A perovskite‐based betavoltaic cell incorporating carbon‐14 nanoparticles and formamidinium lead iodide achieves a record energy conversion efficiency of 10.79%. The device design enhances charge generation through an electron avalanche multiplication mechanism.
Hong Soo Kim   +6 more
wiley   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

open access: yesCarbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu   +6 more
wiley   +1 more source

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

open access: yesCarbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood   +16 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

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