8 citations · 14 across the 17 of their papers we have counts for
5 papers · 1 filter
Machine learning detecting Majorana Zero Mode from Zero Bias Peak measurements
Mouyang Cheng, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk +1
Majorana zero modes (MZMs), emerging as exotic quasiparticles that carry non-Abelian statistics, hold great promise for achieving fault-tolerant topological quantum computation. A…
Precise Fermi-level engineering in a topological Weyl semimetal via fast ion implantation
Manasi Mandal, Abhijatmedhi Chotrattanapituk, Kevin Woller +10
The precise controllability of the Fermi level is a critical aspect of quantum materials. For topological Weyl semimetals, there is a pressing need to fine-tune the Fermi level to…
Topological superconductors from a materials perspective
Manasi Mandal, Nathan C. Drucker, Phum Siriviboon +6
Topological superconductors (TSCs) have garnered significant research and industry attention in the past two decades. By hosting Majorana bound states which can be used as qubits t…
Tetris-inspired detector with neural network for radiation mapping
Ryotaro Okabe, Shangjie Xue, Jiankai Yu +6
In recent years, radiation mapping has attracted widespread research attention and increased public concerns on environmental monitoring. In terms of both materials and their confi…
Virtual Node Graph Neural Network for Full Phonon Prediction
Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird +10
The structure-property relationship plays a central role in materials science. Understanding the structure-property relationship in solid-state materials is crucial for structure d…