Results 161 to 170 of about 24,570,387 (263)

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

Advanced 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, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration. [PDF]

PLoS Comput Biol
Blanco-Rodriguez R, Miura TA, Hernandez-Vargas E.   +2 more
europepmc   +1 more source

Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot. [PDF]

Med Decis Making, 2022
Sadatsafavi M, Saha-Chaudhuri P, Petkau J.   +2 more
europepmc   +1 more source

Raman Microscopy at the Organic–Inorganic Interfaces in Human Calcified Aortic Valves Shows the Co‐Existence of Whitlockite Crystals and Carbonated Hydroxyapatite‐Mineralized Collagen Fibrils

Advanced Functional Materials, EarlyView.
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden, Carolien T. A Kuster, Amber van Broekhoven, Raphaela Allgayer, Luco Rutten, Rona Roverts, Marta Cerruti, Elena Macías‐Sánchez, Jan Hein Cornel, Salloua el Messaoudi, Anat Akiva, Nico Sommerdijk   +11 more
wiley   +1 more source

Dataset on potato phenology, growth, and yield for DSSAT/APSIM crop model calibration at central region of Bangladesh. [PDF]

Data Brief
Talukder AHMMR, Ahmed F, Ahsan AFMS, Mahfuza SN, Mustakim AAMM, Mokarroma N, Nahar L, Khan MSU, Alam Z.   +8 more
europepmc   +1 more source

Multiscale and Multiphysics Modeling of Anisotropic Cardiac RFCA: Experimental-Based Model Calibration via Multi-Point Temperature Measurements. [PDF]

Front Physiol, 2022
Molinari L, Zaltieri M, Massaroni C, Filippi S, Gizzi A, Schena E.   +5 more
europepmc   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Comparison of subject-specific musculoskeletal model calibration strategies on muscle force and fatigue estimation. [PDF]

J Neuroeng Rehabil
Michaud F, Márquez G, Giraldez-García MA, Cuadrado J.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
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, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. [PDF]

Technometrics
Hwang Y, Kim HJ, Chang W, Hong C, MacEachern SN.   +4 more
europepmc   +1 more source