Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics.
General Physics
Sep 30, 2025
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50
In many careers, a person must learn foundational skills before advancing deeper into their profession. Computer programmers need a solid foundation in basic mathematics; nurses must gain clinical experience and specialized ...
Economics & Business
Apr 14, 2025
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19
Partial Differential Equations (PDEs) are central to both pure and applied mathematics. Any quantity which changes in space and time will satisfy certain partial differential equations because the laws of nature, and the ...
Mathematics
Jan 6, 2025
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0
String theory aims to explain all fundamental forces and particles in the universe—essentially, how the world operates on the smallest scales. Though it has not yet been experimentally verified, work in string theory has ...
Mathematics
Nov 20, 2024
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182
In the fields of physics, mathematics, and engineering, partial differential equations (PDEs) are essential for modeling various phenomena, from heat diffusion to particle motion and wave propagation. While some PDEs can ...
Mathematics
Oct 21, 2024
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46
Computer graphics and geometry processing research provide the tools needed to simulate physical phenomena like fire and flames, aiding the creation of visual effects in video games and movies as well as the fabrication of ...
Mathematics
Aug 28, 2024
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54
Dartmouth researchers are using computational mathematics and machine learning to develop models that better predict sea ice thickness in regions of the Arctic.
Earth Sciences
Jul 18, 2024
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243
Thermoset polymers made with composite materials give us everything from concrete bridge reinforcements to jet airplane wings to fiberglass boat hulls, and Philippe Geubelle's mission is to make these composites using methods ...
Materials Science
Jun 27, 2024
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0
In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world ...
Mathematics
Jan 9, 2024
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1391
NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.
Mathematics
Sep 14, 2022
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17
