Latest Articles for Momentum

A novel approach for analyzing triplet data in particle physics experiments.

Analyzing convergence of SGD with momentum through time window-based methods.

Exploring how supernovae shape star formation in dwarf galaxies.

Study reveals how nuclear medium affects pion production in high-energy collisions.

Exploring the role of generalized metric subregularity in enhancing numerical optimization techniques.

This article examines the inelastic Boltzmann equation and its implications on gas behavior.

Lato-lato, a toy, combines skill, physics, and social interaction for endless fun.

Examining dynamic methods for optimizing machine learning model training.

This research reveals key insights into quark-gluon plasma behavior during heavy ion collisions.

New approaches to wave modeling enhance coastal predictions through randomness.

Explore how Lorentz boosts affect quantum coherence in various particles.

New methods improve robot kicking performance by learning from human mechanics.

Explore how atmospheric pressure influences the behavior of ocean waves.

Techniques for managing hyperparameters and model weights for improved performance.

Examining correlation functions in -deformed theories on a torus reveals complex behaviors.

A new method enhances simulation accuracy for particle collisions in plasma.

A new approach to reinforce learning efficiency using heavy-ball momentum in actor-critic methods.

GPDs reveal the internal structure and behavior of protons and neutrons.

Enhancing Policy Mirror Descent with functional acceleration for faster decision-making.

Recent findings reveal complex behaviors of protons in heavy-ion collisions.

This paper discusses how electrons emit light and change momentum in electromagnetic fields.

New techniques improve the study of anti-neutrons in high-energy physics.

New methods enhance predictions for nuclear fission processes and behaviors.

Investigating the characteristics of rotating black holes and their gravitational effects.

An evaluation of KANs for tasks in high-energy physics.

Discover the critical phase of preheating and its impact on the universe's development.

AdEMAMix improves training efficiency by balancing recent and past gradients.

Examining how shapes roll on surfaces without slipping and their implications.

New method IDFF speeds up sample creation while maintaining quality.

Discover the fascinating process of vacuum pair production and its implications.

This study explores how charged particles interact during high-energy collisions.

New insights into neutrino interactions reveal key aspects of pion production.

Researchers explore new methods to improve reinforcement learning performance.

Introducing a method to enhance privacy without sacrificing model accuracy.

FedRISE enhances federated learning by filtering bad data updates for better model training.

Exploring the unpredictability in nondeterministic particle systems and their implications.

incompressibleFoam offers innovative solutions for simulating fluid flows accurately.

Scientists investigate galaxies to uncover the mysteries of the universe.

A guide to Green's functions and their role in particle interactions.

Exploring the debates around the validity of Newton's third law of motion.