Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...

This is the repo associated for our paper Efficient first principles based modeling via machine learning: from simple representations to high entropy materials (publisher version, arXiv version), ...

Refractory high-entropy ceramics are attractive for use in extreme environments. Here, non-equimolar refractory metal high-entropy nitrides exhibit 6.9 GPa strength at 1000 °C during micromechanical ...

Abstract: In unmanned aerial vehicle (UAV)-assisted massive multi-input multi-output (MIMO) millimeter-wave (mmWave) networks, beam-steering guarantees reliable and steady connection between flying ...

Every day, millions of people open Wordle and stare at five empty boxes, hoping the right first guess will unlock the puzzle.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Composed of five or more elements in nearly equal amounts, high-entropy alloys (HEAs) have emerged as promising catalysts due to their compositionally complex surfaces that can accelerate chemical ...

If you have been trying to beat Wordle every day and failing more often than you would like to admit, science might finally ...

Founders University Professor Machine Learning Department Carnegie Mellon University Visiting Scholar Digital Economy Lab Stanford University Resume / Curriculum Vitae Tom.Mitchell@cmu.edu, 412 268 ...