Automatic extraction of materials and properties from superconductors scientific literature

26 October 2022

Papers citing "Automatic extraction of materials and properties from superconductors scientific literature"

4 / 4 papers shown

Title
Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function Jason B. Gibson A. Hire P. M. Dee Oscar Barrera Benjamin Geisler P. Hirschfeld R. G. Hennig 13 4 0 29 Jan 2024
Mining experimental data from Materials Science literature with Large Language Models: an evaluation study Luca Foppiano Guillaume Lambard Toshiyuki Amagasa Masashi Ishii 22 9 0 19 Jan 2024
Semi-automatic staging area for high-quality structured data extraction from scientific literature Luca Foppiano Tomoya Mato Kensei Terashima Pedro Ortiz Suarez Taku Tou Chikako Sakai Wei-Sheng Wang Toshiyuki Amagasa Yoshihiko Takano Masashi Ishii 17 2 0 19 Sep 2023
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction Tanishq Gupta Mohd Zaki N. M. A. Krishnan Mausam 44 174 0 30 Sep 2021