Results 151 to 160 of about 24,806 (303)

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

The Political Psychology Behind Consumer Decisions: The Complex Relationship Between Political Ideology and Political Consumerism

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Political consumerism (PC) refers to consumers boycotting or deliberately buying (“buycotting”) products or brands for political, moral, or ethical reasons. This paper presents three studies that consider the intricacies of the relationship between political ideology and political consumerism.
Lara J. Greening   +3 more
wiley   +1 more source

Approval Voting ion Dichotomous Preferences [PDF]

open access: yes
The aim of this paper is to find normative foundations of Approval Voting. In order to show that Approval Voting is the only social choice function that satisfies anonymity, neutrality, strategy-proofness and strict monotonicity we rely on an ...
Marc Vorsatz
core  

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan   +2 more
wiley   +1 more source

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