Results 191 to 200 of about 85,726 (243)
Descriptor‐Guided Computational Screening of Non‐Fullerene Acceptor Cores for Organic Solar Cells
We screen over 4000 non‐fullerene acceptors using their ionization energy, electron affinity, quadrupole, and dipole moments to select the top‐ten candidates for a given donor polymer. The workflow recovers known high‐performance motifs and reveals how molecular components influence material properties.
Kun‐Han Lin +9 more
wiley +1 more source
The hidden curriculum of endurance: how students' psychosocial stress becomes normalised in arts higher education. [PDF]
Procházková B, Zábrodská K.
europepmc +1 more source
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang +3 more
wiley +1 more source
Inclusive Leadership in Disadvantaged Neighbourhoods: A Qualitative Analysis of Stakeholder Perspectives on Its Potential Role in Academic Achievement. [PDF]
Selçuk G, Ayyıldız Asil A.
europepmc +1 more source
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Institutional time and collective behavior: end-of-week school absenteeism as a social pattern. [PDF]
Alalwani S.
europepmc +1 more source
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic +3 more
wiley +1 more source
Experiences of professionals in DHH education: challenging communicative monotony. [PDF]
Uysal Ç, Yılmaz Y.
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Education Without Borders: Psychological Well-Being and Associated Factors Among Children and Young People With Foreign Nationality Living in Portugal. [PDF]
Virgolino A +7 more
europepmc +1 more source

