ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
The University of Chicago welcomed representatives from two leading European institutions on Nov. 19 to mark the expansion of science collaboration into the field of particle physics and cosmology.
Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical calculations and ...
Three scientists won the Nobel Prize in physics Tuesday for research on the strange behavior of subatomic particles called quantum tunneling that enabled the ultra-sensitive measurements achieved by ...
The amplituhedron is a geometric shape with an almost mystical quality: Compute its volume, and you get the answer to a central calculation in physics about how particles interact. Now, a young ...
The Standard Model, depicting the fundamental building blocks of the universe, including top quarks. Courtesy of Cush via Wikimedia Commons Sitong An, a physicist at Carnegie Mellon University, has ...
Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...
Forget about turtles; for all practical purposes, it’s really particles all the way down. Consider the seemingly simple matter of their size, the very thing that makes them so alien. We’re typically ...
At the foot of the thickly forested Dashi Hill, in southern China’s Guangdong province, pre-approved visitors can take a ride aboard a unique yellow train. Rather than winding through the serene ...
Illustration of a set of real zeros of a graph polynomial (middle) and two Feynman diagrams. Credit: Max Planck Institute for Mathematics in the Sciences How can the behavior of elementary particles ...
The Machine Learning for Fundamental Physics (ML4FP) School will be hosted at the Lawrence Berkeley National Laboratory. All talks and tutorials will be given in person, and participants can register ...
A team of young scientists paused their new physics searches to develop an innovative machine-learning tool, which is now helping them narrow in on a rare and messy decay of the Higgs boson. Physicist ...
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