A microscopic helium wave flume uncovers unprecedented nonlinear wave behaviours, including soliton fission and backward ...
Power systems are regarded as the most complex man-made systems. This complexity can be attributed to the substantial number of buses within the ...
The instrument uses randomly textured lithium niobate and its developers have used it for astronomical imaging and materials ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.
Every year in October our UCSB Physics faculty present an explanation of the Nobel Prize in Physics for that year.
Simulations of magnetic turbulence in the Milky Way enhance understanding of galactic magnetic fields and their influence on ...
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How to run R-style linear regressions in Python the easy way
If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
The 2025 season saw Trevor Larnach go from lineup cornerstone to non-tender candidate. If the Twins decide to keep him around ...
We measure the “warmness” of the dark matter, i.e. the comoving root-mean-square thermal velocity v hrms (1) , with nearly 3000 spiral galaxy rotation curves in the ...
Advancements in nonlinear optics using 2D materials are transforming photonic devices, offering enhanced performance and ...
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