Results 211 to 220 of about 7,569,463 (308)
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
Thalamic modulation of cortical linearity across arousal states. [PDF]
Müller EJ +11 more
europepmc +1 more source
Dynamic Time Series Prediction
This paper introduces a novel dynamic time series prediction algorithm combining deep learning and statistical modeling to enhance the accuracy of future time series data prediction, specifically addressing the challenges of noise and non-linearity inherent in time series.
openaire +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
Binocular Visual Function in Children Wearing Single-Vision or Highly Aspherical Lenslet Spectacle Lenses Assessed with a Tablet-Based Dichoptic Platform. [PDF]
Wu Z, Ye Y, Ma Y, Sun B, Zhou X, Zhao J.
europepmc +1 more source
Near‐surface deuterium enrichment profiles for different microstructural types of TiAl after exposure at 700 °C in a heavy water‐containing environment. The deuterium levels are significantly higher than expected from natural occurrence, indicating that the heavy water dissociated during the exposure treatment and entered the specimens.
Jonathan D. H. Paul +5 more
wiley +1 more source
Dynamic Prediction of Day Mortality in Patients With Trauma Using a Hybrid Neural Network Model: Model Development and Evaluation Study. [PDF]
Millarch AS +5 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
Fat grafting in soleal sling syndrome: a retrospective case series. [PDF]
Hilbig-Vlatten L +5 more
europepmc +1 more source

