A century-old mixing puzzle: AI helps predict and understand viscous fingering

Viscous fingering occurs when a thinner fluid pushes a thicker, more viscous fluid in a porous medium, like underground rock, ...

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...

Researchers isolate memorization from problem-solving in AI neural networks

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...
IEEE

The numerical characteristics of BIOWA operators: entropy and extropy

Abstract: In this paper some recent results on two numerical characteristics of BIOWA operators, the orness measure and the entropy, are presented. The extropy of BIOWA operators is introduced.
C&EN

Machine Learning Study of PFAS Intermediate Adsorption on Transition Metals: Scaling Relationships for Environmental Catalyst Design

School of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand Department of Chemical and Materials Engineering, University of Auckland, Auckland 1142, New Zealand ...
IEEE

Imbalanced Data Problem in Machine Learning: A Review

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
C&EN

Machine Learning-Based Excited-State Reactive Force Field: A New Approach for Modeling the Photodissociation Dynamics of 2-Fluorothiophenol

Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130023, China ...