A. K. Das

1. A machine learning approach to predict the structural and magnetic properties of Heusler alloy families
   2022/08/07 by Srimanta Mitra, Mitra, Srimanta, Aquil Ahmad +5 · 1 citation
   Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Heusler alloys: electronic and magnetic properties #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
2. Measurements of inclusive and differential cross sections for top quark production in association with a Z boson in proton-proton collisions at √(s) = 13 TeV
   2025/02/26 by A. Hayrapetyan, A. Tumasyan, W. Adam +2361 · 1 citation
3. Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV
   2025/11/06 by V. Chekhovsky, CMS Collaboration, A. Hayrapetyan +2346 · 2 voices · 2 citations
   #hep-ex #nucl-ex