Results 111 to 120 of about 539,449 (277)

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

open access: yesAdvanced 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

Bayesian estimation in NONMEM

open access: yesCPT: Pharmacometrics & Systems Pharmacology
Bayesian estimation is a powerful but underutilized tool for answering drug development questions. In this tutorial, the principles of Bayesian model development, assessment, and prior selection will be outlined.
Curtis K. Johnston   +5 more
doaj   +1 more source

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

open access: yesAdvanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Triple equivalence for the emergence of biological intelligence

open access: yesCommunications Physics
Intelligent algorithms developed evolutionarily within neural systems are considered in this work. Mathematical analyses unveil a triple equivalence between canonical neural networks, variational Bayesian inference under a class of partially observable ...
Takuya Isomura
doaj   +1 more source

A Model-based Analysis of Impulsivity Using a Slot-Machine Gambling Paradigm

open access: yesFrontiers in Human Neuroscience, 2014
Impulsivity plays a key role in decision-making under uncertainty. It is a significant contributor to problem and pathological gambling. Standard assessments of impulsivity by questionnaires, however, have various limitations, partly because impulsivity ...
Saee ePaliwal   +7 more
doaj   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

open access: yesAdvanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam   +7 more
wiley   +1 more source

Bayesian input model selection for wrist control by a bionic hand

open access: yesCurrent Directions in Biomedical Engineering
Dynamic causal modelling is a promising tool to quantify hand movement neural control. It portrays the temporal path of signals across a network of distinct motor control areas in the brain.
Mohamed Abdul-Khaaliq, Aharonson Vered
doaj   +1 more source

Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models

open access: yesMathematics
This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj   +1 more source

A Bayesian Model for Bivariate Causal Inference

open access: yesEntropy, 2019
We address the problem of two-variable causal inference without intervention. This task is to infer an existing causal relation between two random variables, i.e., X → Y or Y → X , from purely observational data.
Maximilian Kurthen, Torsten Enßlin
doaj   +1 more source

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