Physics-Data-An
Autonomous decision-making against induced seismicity in deep fluid injections
Analysis of KATRIN data using Bayesian inference
Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography
High Throughput Software for Powder Diffraction and its Application to Heterogeneous Catalysis
Big data analyses reveal patterns and drivers of the movements of southern elephant seals
EAST Real-Time VOD System Based on MDSplus
Photon allocation strategy in region-of-interest tomographic imaging
Elastic fluctuations as observed in a confocal slice
Revising and Extending the Linear Response Theory for Statistical Mechanical Systems: Evaluating Observables as Predictors and Predictands
Photon arrival time tagging with many channels, sub-nanosecond deadtime, very high throughput, and fiber optic remote synchronization
Accounting for Calibration Uncertainties in X-ray Analysis: Effective Areas in Spectral Fitting
Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites
Rapid Identification of X-ray Diffraction Spectra Based on Very Limited Data by Interpretable Convolutional Neural Networks
Uncertainty amplification due to density/refractive-index gradients in volumetric PTV and BOS experiments
When Coincidence has Meaning: Understanding Emergence Through Networks of Information Token Recurrence
Uncertainty Quantification in density estimation from Background Oriented Schlieren (BOS) measurements
Universal Boolean Logic in Cascading Networks
Single parameter model of marriage divorce dynamics with countries classification
Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra
Discrete simulation of power law noise
Analysis of Daily Streamflow Complexity by Kolmogorov Measures and Lyapunov Exponent
Modulated Oscillations in Three Dimensions