Graphene-nanodiamond membranes for atomic-impact sensing: design and fluorescence readout limits. [PDF]
Fiedler J, Eder SD, Zalieckas J.
europepmc +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Multi-Sensor Mobile Laser Doppler Vibrometry for Internal Damage Detection in Reinforced Concrete Structures. [PDF]
Liang S, Zhang D.
europepmc +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Modelling techniques for underwater noise generated by tidal turbines in shallow water
The modelling of underwater noise sources and their potential impact on the marine environment is considered, focusing on tidal turbines in shallow water.
Humphrey, Victor F. +2 more
core
The Big Bang: How Does Indoor Noise Affect Lifestyle Choices of Older Community-Dwelling Adults? An Exploratory Mixed Methods Study. [PDF]
Short A +4 more
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Impacts of vessel noise on Red Drum (Sciaenops ocellatus) spawning choruses in Saint Andrew Bay, Florida, U.S.A. [PDF]
Price BH +4 more
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Impact of visual mouth image presentation on speech perception in noise in normal hearing subjects and cochlear implant users. [PDF]
Schneider AM, Stöver T, Weissgerber T.
europepmc +1 more source

