Deep learning of how electron moves between atoms? In their new paper, Paul Henderson (University of Glasgow), Maks Serbyn (ISTAustria) et al. harness the power of deep learning to get insights into complex 2D materials like trilayer graphene. More Physical Review B: journals.aps.org/prb/abstract/1…

Everything, Everywhere, All On One Plot

Another one, with parameters on a torus. Made with #python, #matplotlib and #numpy.

The beginning of the universe was a soup of quarks and gluons that was hotter than you can imagine. But particle physicists Brookhaven Lab can imagine it. They reproduce these conditions at the Relativistic Heavy Ion Collider, as covered in WIRED: wired.com/story/little-b…

WednesdayWisdom: “It is not so very important for a person to learn facts. For that he does not really need college. He can learn them from books. The value of an education … is the training of the mind to think something that cannot be learned from textbooks.” – Albert Einstein

x>0 breaks the symmetry of the eigenvalues distribution. Made with #python, #matplotlib and #numpy.

I'm super excited to share a new initiative I am a part of! Announcing: Polymathic AI 🎉 We are developing foundation models for scientific *data*, such that they can leverage shared concepts across disciplines. polymathic-ai.org 1/6

So very close to getting arbitrary expression graphs working in PySR & SymbolicRegression.jl... github.com/SymbolicML/Dyn… I think this would let you use PySR for full-blown program synthesis

The mass of the Higgs boson is measured by ATLAS Experiment with a precision of less than a tenth of a percent go.aps.org/3TDhiW6 #OpenAccess

Thermodynamic limit of spin systems on random graphs, Amy Searle and Joseph Tindall Amy Searle Joey Tindall Flatiron CCQ #Networks #StatisticalPhysics go.aps.org/3TQSPg7

Optical spin readout of single rubidium atoms trapped in solid neon, David M. Lancaster, Ugne Dargyte, and Jonathan D. Weinstein #AtomicPhysics go.aps.org/3P7eIVv

Here’s a follow up to our initial interpretable #ML paper that digs more into the result of #PySR. Also shows a clean application of network pruning from 16k parameters to 43 parameters without sacrificing performance. arxiv.org/abs/2402.10945

Thanks to Brookhaven Lab for this years RHIC-AGS Merit award! I’m happy to be apart of the sPHENIX and RHIC communities. linkedin.com/posts/tanner-m…

This is a vast oversimplification. For instance not all “LLM clueless” will not necessarily think AI = bad. While several “LLM savvy” I know seem to have issue with the current course and execution of the field… Nuances are importance

DeepMind AI gets silver medal at International Mathematical Olympiad newscientist.com/article/244145…

Dark matter detectors have been infiltrated by a neutrino “fog.” sciencenews.org/article/neutri…

Last week, I successfully defended my PhD thesis, “Underlying Event Fluctuations and Jet Background in √sNN = 200 GeV Au+Au Collisions Using the sPHENIX Detector.” Thanks to University of Tennessee Physics and Astronomy for its support throughout my graduate studies!

I’m excited to begin a postdoctoral research appointment at CU Boulder 🦬. I’ll be based at Brookhaven Lab, where be continuing my work with the sPHENIX collaboration, furthering our understanding of heavy-ion collisions. Looking forward the next step of my career!

Members of the CU Boulder 🦬 experimental nuclear physics group preparing for the Au+Au run in just two weeks at Brookhaven Lab's Relativistic Heavy Ion Collider. We are excited to have post-doc Dr. Tanner Mengel Tanner Mengel join the team just in time for sPHENIX data-taking!