EurekAlert! News by Subject: Mathematics - News by Subject: Mathematics

Mathematics

Updates every hour. Last Updated: 18-Dec-2025 20:12 ET (19-Dec-2025 01:12 GMT/UTC)

A 'Rosetta Stone' for molecular systems

University of Pennsylvania School of Engineering and Applied Science
Peer-Reviewed Publication

Penn Engineers have developed a mathematical “Rosetta Stone” that translates atomic and molecular movements into predictions of larger-scale effects, like proteins unfolding and crystals forming, without the need for costly, time-consuming simulations or experiments. That could make it easier to design smarter medicines, semiconductors and more.

Journal: Journal of Non-Equilibrium Thermodynamics
Funder: U.S. National Science Foundation, University of Pennsylvania

Hitting a nerve

University of Pittsburgh
Peer-Reviewed Publication

Study in PNAS Nexus reveals how chemical networks can mimic nervous systems to power movement in soft materials.

Journal: PNAS Nexus

Effectiveness of colchicine for the treatment of long COVID

JAMA Network
Peer-Reviewed Publication

About The Study: In this randomized clinical trial, among adults with long COVID, colchicine did not improve functional capacity, respiratory function, or inflammatory markers. These findings underscore the need to explore alternative therapeutic approaches for long COVID.

Journal: JAMA Internal Medicine

Epidural electrical stimulation for functional recovery in incomplete spinal cord injury

Beijing Institute of Technology Press Co., Ltd
Peer-Reviewed Publication

A research paper by scientists at Beijing Tiantan Hospital, Capital Medical University presented a single-center, nonrandomized controlled cohort study designed to evaluate the efficacy of epidural electrical stimulation (EES) in the treatment of spinal cord injury (SCI).

The research paper, published on Jul. 22, 2025 in the journal Cyborg and Bionic Systems.

Safer quantum-secured data networks for the AI era

SPIE--International Society for Optics and Photonics
Peer-Reviewed Publication

Artificial intelligence (AI) data centers use huge amounts of electricity and face future risks from quantum computers that could break today’s encryption. To tackle this, researchers developed a new system that combines ultrafast data transmission with quantum key distribution for security. In tests, the system delivered data at terabit-per-second capacity with low power consumption, while generating secure encryption keys in real time, pointing to a promising path for the development of more efficient and secure data transmission systems to handle the surging demands of AI applications such as autonomous vehicles and large language models.

Journal: Advanced Photonics

The tiny droplets that bounce without bursting

Ecole Polytechnique Fédérale de Lausanne
Peer-Reviewed Publication

EPFL researchers have discovered that a droplet of liquid can bounce for several minutes – and perhaps indefinitely – over a vibrating solid surface. The seemingly simple observation has big implications for physics and chemistry.

Journal: Physical Review Letters

Queen Mary researchers use AI to solve Einstein’s equations without symmetry assumptions

Songshan Lake Materials Laboratory
Peer-Reviewed Publication

Abstract

A team of scientists from School of Physics and Astronomy at Queen Mary University of London has developed a novel artificial intelligence method that could revolutionize our understanding of the universe's most mysterious shapes. Using advanced machine learning, researchers can now explore complex geometric spaces, like the fabric of spacetime itself, without relying on traditional symmetry assumptions.

This new algorithm, called AInstein, tackles one of the most complex puzzles in physics and mathematics: finding the precise shape of space under Einstein field equations. Remarkably, it can do so on spaces as intricate as higher-dimensional spheres, opening new avenues for discovery and shedding light on our understanding of the universe.

21
22
23
24
25