Results 171 to 180 of about 1,913,123 (347)
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi +10 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Ordering effects and strategic response in discrete choice experiments [PDF]
This study explores ordering effects and response strategies in repeated binary discrete choice experiments (DCE). Mechanism design theory and empirical evidence suggest that repeated choice tasks per respondent introduce strategic behavior.
Bennett, Jeffrey W., Scheufele, Gabriela
core +1 more source
Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki +7 more
wiley +1 more source
Bounds on Parameters in Dynamic Discrete Choice Models [PDF]
Identification of dynamic nonlinear panel data models is an important and delicate problem in econometrics. In this paper we provide insights that shed light on the identification of parameters of some commonly used models.
Bo E. Honoré, Elie Tamer
core
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
The Identification & Economic Content of Ordered Choice Models with Stochastic Thresholds [PDF]
This paper extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a general- ization of the GAFT (MPH) framework for discrete duration data that jointly models ...
Flavio Cunha +2 more
core
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements [PDF]
This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland.
Campbell, Danny
core +1 more source
Nonparametric identification of discrete choice models [PDF]
Abstracts: In this paper we give simple proofs of identification results in discrete choice models for the case where neither the derteministic part nor the distribution function of the random parts of the utility function is specified parametrically.
openaire +2 more sources

