In this article, a physics-constrained deep-learning-based attenuation compensation (PCDL-AC) method is proposed. Specifically, we first establish a time-domain attenuation model, which delineates the ...

The rover detected a kilometer-long sloping region buried 10 to 35 meters underground that closely matches the slope of beaches on Earth, planetary scientist Michael Manga and colleagues report ...

Source code for the Twomes, B4B and REDUCEDHEATCARB analysis tools based on dynamic models for heat and mass balances and physics informed machine learning (f.k.a. inverse grey-box modelling) ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...

Abstract: Machine Learning (ML) techniques have been successfully used in many areas of High Energy Physics (HEP) and will play a significant role in the success of upcoming High-Luminosity Large ...

Deep research was developed through end-to-end reinforcement learning based on the o3 inference ... research but also in academic fields such as physics, computer science, and biology.

Top manhwa offer diverse genres and cultures, from historical settings to new perspectives like Korean manhwa. Standout historical entries span various eras, settings, and themes, providing ...

Solve complex problems and explore new discoveries as you learn alongside seasoned faculty in a supportive academic community. In Bethel’s Department of Physics and Engineering, you’ll learn in a ...

But even though accelerators came to provide the best hunting ground for new particles, the physics of cosmic rays is still widely studied. The energies of the primary cosmic rays range from around 1 ...