Latest Articles for Momentum

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.

Learn how powerful light creates tiny particle pairs in a vacuum.

Scientists study how strong light produces particles from vacuum.

Discover how light's behavior can impact science and technology.

Learn how to reduce communication overhead in deep learning models to improve training speed.

Scientists study the unique behaviors of spinning superfluid helium droplets.

A fresh approach to using momentum in training neural networks.

A look into how tensor networks improve spectroscopy and energy analysis.

Understanding the ties between complexity and momentum can reveal insights about the universe.

Learn how federated learning trains AI while protecting personal data.

Explore the connection between quantum mechanics, relativity, and particle behavior.

Unveiling the intricate world of quarks and gluons within protons.

Explore the dynamics of particles and their interactions in non-equilibrium systems.

Learn how stochastic first-order methods simplify optimization challenges.

Explore how QTT enhances simulations of nonequilibrium systems in physics.

Explore how identical particles interact and scatter in a line arrangement.

New techniques improve learning efficiency in AI agents as environments shift.

Grams offers a fresh take on optimization for machine learning models.

Scientists study quasi-free knockout reactions to learn about atomic nuclei.