Results 61 to 70 of about 9,921 (251)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

PARAMETRIC MODELING THE EFFECTIVENESS OF MOTOR VEHICLES ON SPEED CHANNEL

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
Parametrical modeling of management efficiency by the vehicle is considered. Models of operators-drivers with various degrees of motivational perception are given. The factorial analysis of errors of management is carried out.
S. A. Diab Abdullah
doaj  

Motivating Youth for STEM: A Narrative Literature Review of Motivational STEM Interventions

Education Sciences
Given the concurrent challenges of declining participation rates in STEM education and the growing societal demand for STEM expertise, understanding and implementing motivation-enhancing interventions is essential for safeguarding the future STEM ...
Christophe Kegels, Annemie Struyf, Valérie Thomas   +2 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Be motivated to pay attention! How driver assistance system use experience influences driver motivation to be attentive: Be motivated to pay attention! How driver assistance system use experience influences driver motivation to be attentive

, 2016
This work provides an in-depth-view of driver motivational aspects when driver assistance Systems (DAS) are considered. Thereby, the role of driver actual experience with DAS use was also identified and highlighted. A central outcome of this thesis is the STADIUM model describing the interplay of motivational factors that determine the engagement in ...
openaire   +2 more sources

Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids

Advanced Materials, EarlyView.
Strong dipole–dipole interactions give rise to an emergent polar smectic phase with spontaneous chiral symmetry breaking. This resulting polar heliconical smectic superstructure enables novel functionalities in polar fluids, such as color modulation driven by electric field strength and frequency, as well as second‐harmonic generation amplification ...
Hiroya Nishikawa, Dennis Kwaria, Atsuko Nihonyanagi, Koki Sano, Hiroyuki Yoshida, Fumito Araoka   +5 more
wiley   +1 more source

Focus on Teacher Motivational Factors: Increasing Innovation Efficiency, Retention in the Teaching Profession

Central European Journal of Educational Research
The shortage of teachers and the challenge of popularizing the teaching profession are some of the most pressing problems in education today. Finding a solution to these issues is a priority task.
Ágnes Hornyák
doaj   +1 more source

Sideloading Drivers and motivations.

Electronic Workshops in Computing, 2022
Craig Goodwin, Sandra Woolley
openaire   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source