Results 131 to 140 of about 991,502 (283)

Applying Agile and Scrum Methodologies to Improve Public Health Informatics Project Implementation and Delivery [PDF]

open access: hybrid, 2021
Olaitan Kemi Atobatele   +3 more
openalex   +1 more source

The Platform to Characterizing the Thermoelectric Materials by Photo‐Crosslinked Ionic Gel Electrolyte

open access: yesAdvanced Electronic Materials, EarlyView.
The device platform, which utilizes a photo‐crosslinked ionic gel electrolyte with a broad range of oxidation and reduction capabilities, can effectively evaluate and screen the thermoelectric material candidates with high potential across a wide range of doping levels, thereby minimizing the effort required to identify dopants compatible with ...
Sunbin Hwang   +2 more
wiley   +1 more source

The CHI’24 Workshop on the Future of Cognitive Personal Informatics [PDF]

open access: gold
Max L. Wilson   +4 more
openalex   +1 more source

Semi‐Transparent Organic Photodiodes with Near‐Infrared Detection Fabricated by Inkjet Printing

open access: yesAdvanced Electronic Materials, EarlyView.
This work shows the inkjet printing of semi‐transparent and opaque organic photodiodes that enable light detection in the near‐infrared regime. Their transparency and high detection speed make them ideal for applications in soft robotics, wearable devices, and light communication systems.
Luis Arturo Ruiz‐Preciado   +3 more
wiley   +1 more source

The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository

open access: green, 2015
David Shin   +4 more
openalex   +2 more sources

Informatics

open access: yesLaboratory Investigation, 2018
Kristina Höök   +22 more
semanticscholar   +1 more source

Machine learning in polymer informatics

open access: yes, 2021
Wuxin Sha   +10 more
semanticscholar   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

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