Results 41 to 50 of about 144,645 (228)

On OLS Estimation of Stochastic Linear Regression Model

open access: yesInternational Journal of Engineering and Advanced Technology, 2019
This paper mainly discusses the formulation of stochastic linear statistical model and its assumptions and finally explores an important aspect namely the Ordinary Least Squares (OLS) estimation of stochastic linear regression model. In addition to these

semanticscholar   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Prenucleation Species Dictate Foreign Ion Incorporation in the Biomineral Precursor Amorphous Calcium Carbonate

open access: yesAdvanced Functional Materials, EarlyView.
ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao   +9 more
wiley   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

open access: yesAdvanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu   +3 more
wiley   +1 more source

Data-driven modelling of biological multi-scale processes

open access: yes, 2015
Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales.
Hasenauer, Jan   +3 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Concept Learning with Energy-Based Models [PDF]

open access: yes, 2018
Many hallmarks of human intelligence, such as generalizing from limited experience, abstract reasoning and planning, analogical reasoning, creative problem solving, and capacity for language require the ability to consolidate experience into concepts ...
Mordatch, Igor
core   +1 more source

Likelihood inference for exponential-trawl processes

open access: yes, 2015
Integer-valued trawl processes are a class of serially correlated, stationary and infinitely divisible processes that Ole E. Barndorff-Nielsen has been working on in recent years. In this Chapter, we provide the first analysis of likelihood inference for
C Weiß   +20 more
core   +1 more source

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

open access: yesAdvanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak   +4 more
wiley   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

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