3 citations · 4 across the 4 of their papers we have counts for
5 papers
Automated multiphase identification and refinement in powder diffraction using mismatch-tolerant machine learning
Lalit Yadav, Yongqiang Cheng, Mathieu Doucet
Powder diffraction is a primary structural characterization tool in materials science, yet automated phase identification remains a major bottleneck for autonomous discovery. Exist…
Synthesis and characterization of the novel breathing pyrochlore compound Ba3Tm2Zn5O11
Lalit Yadav, Rabindranath Bag, Ramesh Dhakal +10
In this study, a novel material from the rare-earth based breathing pyrochlore family, Ba3Tm2Zn5O11, was successfully synthesized. Powder x-ray diffraction and high-resolution powd…
Experimental evidence of crystal-field, Zeeman splitting, and spin-phonon excitations in the quantum supersolid Na2BaCo(PO4)2
Ghulam Hussain, Jianbo Zhang, Man Zhang +5
Drawing inspiration from the recent breakthroughs in the \ce{Na_{2}BaCo(PO_{4})_{2}} quantum magnet, renowned for its spin supersolidity phase and its potential for revolutionary c…
Observation of Unprecedented Fractional Magnetization Plateaus in a New Shastry-Sutherland Ising Compound
Lalit Yadav, Afonso Rufino, Rabindranath Bag +10
Geometrically frustrated magnetic systems, such as those based on the Shastry-Sutherland lattice (SSL), offer a rich playground for exploring unconventional magnetic states. The de…
Atoms as Words: A Novel Approach to Deciphering Material Properties using NLP-inspired Machine Learning on Crystallographic Information Files (CIFs)
Lalit Yadav
In condensed matter physics and materials science, predicting material properties necessitates understanding intricate many-body interactions. Conventional methods such as density…