High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) Superconductors.
Daniel WinesKamal ChoudharyAdam J BiacchiKevin F GarrityFrancesca TavazzaPublished in: Nano letters (2023)
High-throughput density functional theory (DFT) calculations allow for a systematic search for conventional superconductors. With the recent interest in two-dimensional (2D) superconductors, we used a high-throughput workflow to screen over 1000 2D materials in the JARVIS-DFT database and performed electron-phonon coupling calculations, using the McMillan-Allen-Dynes formula to calculate the superconducting transition temperature ( T c ) for 165 of them. Of these 165 materials, we identify 34 dynamically stable structures with transition temperatures above 5 K, including materials such as W 2 N 3 , NbO 2 , ZrBrO, TiClO, NaSn 2 S 4 , Mg 2 B 4 C 2 , and the previously unreported Mg 2 B 4 N 2 ( T c = 21.8 K). Finally, we performed experiments to determine the T c of selected layered superconductors (2H-NbSe 2 , 2H-NbS 2 , ZrSiS, FeSe) and discuss the measured results within the context of our DFT results. We aim that the outcome of this workflow can guide future computational and experimental studies of new and emerging 2D superconductors by providing a roadmap of high-throughput DFT data.
Keyphrases
- density functional theory
- high throughput
- molecular dynamics
- single cell
- electronic health record
- high resolution
- emergency department
- big data
- highly efficient
- room temperature
- adverse drug
- mass spectrometry
- molecular docking
- preterm infants
- deep learning
- small molecule
- human milk
- ionic liquid
- preterm birth
- low birth weight