Results 151 to 160 of about 258,164 (322)
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
Copper Phthalocyanine for Designing a Highly Selective and Disposable Electrochemical Volatile Organic Compound (VOC) Sensor [PDF]
Mohammad Shakhawat Hossain +4 more
openalex +1 more source
Efficient and photostable organic solar cells (OSCs) are developed using giant small‐molecule donors (GSMDs) with controlled backbone planarity. By tuning alkyl side chain orientation, anti‐configured GSMD improved crystallinity and charge transport, yielding PCE of 15.4% and superior stability (t80% > 1500 h).
Hyerin Jeon +4 more
wiley +1 more source
Plant diversity influences plant volatile emission with varying effects at the species and community levels. [PDF]
Medina-van Berkum P +15 more
europepmc +1 more source
Electropolymerized Ultrathin Chromophore Films for VOC Sensing [PDF]
Amanda C. Paske +2 more
openalex +1 more source
Principles for Rigorous Design and Application of Synthetic Microbial Communities
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang +21 more
wiley +1 more source

