Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

How most of the universe's visible mass is generated: Experiments explore emergence of hadron mass

Deep in the heart of the matter, some numbers don't add up. For example, while protons and neutrons are made of quarks, ...
C&EN

Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the Experiment

Department of Computer Science, Virginia Tech, Blacksburg, Virginia 24061, United States Department of Mathematics, Virginia Tech, Blacksburg, Virginia 24061, United States Department of Computer ...
IEEE

Tracking Error Prediction and Compensation of Industrial Robot Considering Dynamical Factors via Physics-Informed Machine Learning

Abstract: Tracking error prediction and compensation is essential to ensure the accuracy of robotic motion trajectories in various tasks. Due to the structural ...
IFLScience

NASA Has Made A Sizable Error In Lunar And Martian Physics, Study Suggests

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
Hosted on MSN

Physics Python Code Issues: Can’t Find the Error

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
IEEE

Flow-Rate-Constrained Physics-Informed Neural Networks for Flow Field Error Correction in Four-Dimensional Flow Magnetic Resonance Imaging

Abstract: In this study, we present enhanced physics-informed neural networks (PINNs), which were designed to address flow field errors in four-dimensional flow magnetic resonance imaging (4D Flow MRI ...
C&EN

Acceleration of the GROMACS Free-Energy Perturbation Calculations on GPUs

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free-energy perturbation (FEP) calculations have emerged as a promising tool for the ...
Scientific Research Publishing

Hodson, T. (2022) Root Mean Square Error (RMSE) or Mean Absolute Error (MAE): When to Use Them or Not 1U.S. Geological Survey Central Midwest Water Science Center.

ABSTRACT: This study evaluates the reliability of North American Multi-Model Ensemble (NMME) models in forecasting monthly rainfall over the Kafue River Basin using a well-selected multi-model ...
Scientific Research Publishing

Chai, T., & Draxler, R. R. (2014). Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)—Arguments against Avoiding RMSE in the Literature. Geoscientific Model ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
CNN

Economist says there’s a math error in the formula used to calculate Trump’s tariffs

‘Trump chickened out’: Chinese social media mocks Trump on trade ...