Gravitational waves from colliding black holes may allow detection of dark matter
examines the implications of gravitational waves on the understanding of dark matter, a key topic in cosmology.
examines the implications of gravitational waves on the understanding of dark matter, a key topic in cosmology.
This article provides an in-depth exploration of the modern physics structural architecture, focusing on particle physics and cosmology.
Quantum physics research has advanced with the discovery of new phenomena.
Physicists achieved a breakthrough in quantum physics with a new method of controlling quantum systems.
Physicists have discovered quantum particles that defy conventional understanding, making it relevant to both quantum mechanics and theoretical physics.
Researchers are leveraging AI to uncover new physics in the fourth state of matter, intersecting with quantum mechanics.
A major physics experiment has found evidence related to fundamental particles, linking to dark matter research.
The article discusses the emergence of string theory from fundamental physics rules, making it relevant to the feed related to particle physics and theoretical physics.
Astrophysics research indicates that dark matter plays a crucial role in the composition of the universe.
Researchers proposed a new theoretical framework for the origins of dark matter.
A new quantum physics study reveals unexpected behavior in graphene, challenging fundamental physics laws.
Theoretical models suggest that dark matter could enable stars to glow indefinitely.
The article discusses unexplored interactions between electrons and atomic nuclei, shedding light on dark matter.
Students have built a ‘cosmic radio’ to listen for dark matter, enhancing our understanding of this mysterious component of the universe.
RIKEN physicists established new theoretical limits for measuring properties of solids within quantum geometry.
A study in quantum physics reveals the creation of exotic forms of matter.
This article discusses the demand for a unified approach to enterprise security that integrates hardware and AI technologies.

This article discusses the Standard Model of particle physics and its implications.
The article explores a consistency check that raises questions about dark energy in the universe.

The article elaborates on the concept of symmetry in physics, which is fundamental to various theories.
arXiv:2509.15121v2 Announce Type: replace-cross Abstract: We investigate a WIMP dark matter (DM) candidate in the form of a singlino-dominated lightest supersymmetric particle (LSP) within the...
arXiv:2605.29283v1 Announce Type: new Abstract: Recent physics foundation models claim general spatiotemporal forecasting ability, yet their evaluations often collapse performance into a single...
arXiv:2605.28596v1 Announce Type: cross Abstract: \textsc{DarkEmulator2} is a neural network emulator of the nonlinear matter power spectrum in a nine-dimensional $w_0 w_a \nu o \mathrm{CDM}$...

Big G is the oldest fundamental constant in physics and remains the least clearly defined. One scientist has spent a decade attempting to crack the mystery of the gravitational constant, and it...
arXiv:2605.26341v1 Announce Type: new Abstract: Physics-informed machine learning (PIML) integrates mechanistic knowledge, typically in the form of partial differential equations (PDE), into...

The article describes cosmic rays and their mysterious origins, relating to high-energy physics.
The article explores how interactions at the particle level can significantly influence the flow of soft materials.
arXiv:2508.08935v4 Announce Type: cross Abstract: Physics-informed neural networks (PINNs) have attracted considerable attention for their ability to integrate partial differential equation priors...

Physics is a fundamental part of almost all modern sciences. It is one of the most important subjects in science education because it…
arXiv:2605.00394v2 Announce Type: replace Abstract: We present Mesh Field Theory (MeshFT) and its neural realization, MeshFT-Net: a structure-preserving framework for mesh-based continuum physics...

“This Physics Experiment Still Terrifies Scientists Today”

This article provides insights on the roles of query, key, and value in transformers, key concepts in machine learning.
Chaos Engineering focuses on building resilient systems, which is a crucial aspect of modern software engineering.

The article discusses building machine learning systems, which connects to concepts in data science and engineering.

Investigates the activity of early galaxies and their star formation processes.

This article discusses how AI can automate functional tests for SaaS applications.
arXiv:2605.30353v1 Announce Type: new Abstract: Are AI agents tools, co-authors, or researchers? We present a quantified case study ($N=1$): a physicist supervising an AI coding agent (Claude...
arXiv:2506.15199v3 Announce Type: replace Abstract: While there are many applications of ML to scientific problems that look promising, visuals can be deceiving. Using numerical analysis...
arXiv:2505.02974v3 Announce Type: replace Abstract: Machine learning-based surrogate models have emerged as a powerful tool to accelerate simulation-driven scientific workflows, but their adoption...

Quantum computing and machine learning are two of the fastest growing areas in computer science and physics. Researchers have recently…
arXiv:2605.26619v1 Announce Type: new Abstract: Reconstructing continuous state trajectories of chaotic dynamical systems from sparse, noisy observations remains a fundamental open problem in...
Quantum computers have the potential to transform science, accelerating breakthroughs in drug development, cosmology, materials science, nuclear physics, and more.
Quantum mechanics is a physics framework that describes how matter and energy behave at an extremely small scale, specifically at the scale of atoms and subatomic particles. An effect predicted by...

The article provides best practices for using Git and GitHub, essential tools in software development.
The article discusses the experiences of a solo founder rebuilding a B2B SaaS codebase multiple times, making it relevant for Indian startups and software engineering.

Discusses unexpected findings in a physics experiment linked to learning and wisdom.
Physicists are challenged by a new discovery regarding a flaw in quantum mechanics and time.
arXiv:2601.23262v2 Announce Type: replace Abstract: We introduce a guided stochastic sampling method that augments sampling from diffusion models with physics-based guidance derived from partial...
arXiv:2605.26821v1 Announce Type: cross Abstract: The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached...
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