MagBERT: Magnetics Knowledge Aware Language Model Coupled with a Question Answering Pipeline for Curie Temperature Extraction Task-Reference-Cited by-同舟云学术

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MagBERT: Magnetics Knowledge Aware Language Model Coupled with a Question Answering Pipeline for Curie Temperature Extraction Task

Published:2024-07-26 Issue:31 Volume:128 Page:13217-13229
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Zhumabayeva Aigerim¹,Ranjan Nikhil¹,Takáč Martin¹,Sanvito Stefano²^ORCID,Ucar Huseyin¹³^ORCID

Affiliation:

1. Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Masdar City, Abu Dhabi, 00000, UAE

2. School of Physics, AMBER and CRANN Institute, Trinity College Dublin, Dublin 2, D02 W085, Ireland

3. Chemical and Materials Engineering Department, California State Polytechnic University, Pomona, California 91768, United States

Funder

Irish Research Council

Fulbright U.S. Scholar Program

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.4c01974

Reference40 articles.

1. Perspective and Prospects for Rare Earth Permanent Magnets

2. Effect of Mo Addition on Structure and Magnetocaloric Effect in γ-FeNi Nanocrystals

3. Evaluation of iron-cobalt/ferrite core-shell nanoparticles for cancer thermotherapy

4. Faster: Accelerating the Transition from Materials Discovery to Commercial Deployment

5. The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies

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