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

Mathematics

Updates every hour. Last Updated: 10-Sep-2025 13:11 ET (10-Sep-2025 17:11 GMT/UTC)

Quantum control of collisions beyond ultralow temperatures

University of Warsaw, Faculty of Physics
Peer-Reviewed Publication

At ultracold temperatures, interatomic collisions are relatively simple, and their outcome can be controlled using a magnetic field. However, research by scientists led by Prof. Michal Tomza from the Faculty of Physics of the University of Warsaw and prof. Roee Ozeri from the Weizmann Institute of Science shows that this is also possible at higher temperatures. The scientists published their observations in the scientific journal Science Advances.

Journal: Science Advances
Funder: European Research Council, National Science Center, Poland, Poland’s high-performance computing infrastructure PLGrid, Israeli Science Foundation

IOP Publishing and Songshan Lake Materials Laboratory launch AI for Science, a new diamond open access journal

IOP Publishing
Business Announcement

IOP Publishing (IOPP) and the Songshan Lake Materials Laboratory (SLAB) have launched a new diamond open access journal, AI for Science (AI4S). The interdisciplinary journal will cover key Artificial Intelligence (AI) and Machine Learning (ML) topics including applied physics, materials science, chemical science, biological science, and mathematics.

Researchers successfully prove the solution to Dudeney’s 120-year-old dissection puzzle

Japan Advanced Institute of Science and Technology
Reports and Proceedings

Over 120 years ago, Henry Ernest Dudeney posed the famous dissection problem of transforming a triangle into a square by cutting it into as few pieces as possible. In a new study, researchers have finally proved that the original solution, which involves only four pieces, is optimal by using a new proof technique. This technique shows for the first time that it is possible to prove the optimality of the solution to a dissection problem.

Funder: Japan Society for the Promotion of Science
Meeting: The 23rd EATCS/LA Workshop on TCS

Hiring strategies

Sissa Medialab
Peer-Reviewed Publication

When it comes to hiring new staff, large companies often have to choose from hundreds of candidates, a process that requires time and resources. Can mathematics help streamline these procedures? At least in the broadest sense, probably yes. A paper recently published in Journal of Statistical Mechanics: Theory and Experiment JSTAT by Pavel Krapivsky, a statistical physicist at Boston University, proposes an algorithm that identifies three hiring strategies, each corresponding to different objectives a company might have.

Journal: Journal of Statistical Mechanics Theory and Experiment

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