Results 201 to 210 of about 196,454 (289)

Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy. [PDF]

open access: yesMicrobiol Spectr
Khan R   +11 more
europepmc   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon   +9 more
wiley   +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

Sediment transport by Greenland's icebergs. [PDF]

open access: yesNat Commun
Pierce E, Overeem I, Hasholt B.
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +17 more
wiley   +1 more source

Potential Ecological Risk Index and Metal Fate in a Karstic Tropical Lagoon: Chelem, Yucatan, Mexico. [PDF]

open access: yesBull Environ Contam Toxicol
Arcega-Cabrera F   +4 more
europepmc   +1 more source

From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel   +4 more
wiley   +1 more source

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