Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Court, Callum J.
and
Cole, Jacqueline M.
2020.
Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning.
npj Computational Materials,
Vol. 6,
Issue. 1,
Dieb, Sae
Amano, Kou
Tanabe, Kosuke
Sato, Daitetsu
Ishii, Masashi
and
Tanifuji, Mikiko
2021.
Creating research topic map for NIMS SAMURAI database using natural language processing approach.
Science and Technology of Advanced Materials: Methods,
Vol. 1,
Issue. 1,
p.
2.
Ravinder
Venugopal, Vineeth
Bishnoi, Suresh
Singh, Sourabh
Zaki, Mohd
Grover, Hargun Singh
Bauchy, Mathieu
Agarwal, Manish
and
Krishnan, N. M. Anoop
2021.
Artificial intelligence and machine learning in glass science and technology: 21 challenges for the 21st century.
International Journal of Applied Glass Science,
Vol. 12,
Issue. 3,
p.
277.
He, Mu
and
Zhang, Lei
2021.
Prediction of
solar‐chargeable
battery materials: A
text‐mining
and
first‐principles
investigation
.
International Journal of Energy Research,
Vol. 45,
Issue. 10,
p.
15521.
Venugopal, Vineeth
Sahoo, Sourav
Zaki, Mohd
Agarwal, Manish
Gosvami, Nitya Nand
and
Krishnan, N. M. Anoop
2021.
Looking through glass: Knowledge discovery from materials science literature using natural language processing.
Patterns,
Vol. 2,
Issue. 7,
p.
100290.
Mah, Pascal Muam
Skalna, Iwona
and
Muzam, John
2022.
Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0.
Applied Sciences,
Vol. 12,
Issue. 18,
p.
9207.
Wang, Jie
Wang, Xiaomei
Wen, Haili
and
Kumar, Vijay
2022.
The Use of BP Neural Network Algorithm and Natural Language Processing in the Impact of Social Audit on Enterprise Innovation Ability.
Computational Intelligence and Neuroscience,
Vol. 2022,
Issue. ,
p.
1.
Liu, Fang
2022.
Language database construction method based on big data and deep learning.
Alexandria Engineering Journal,
Vol. 61,
Issue. 12,
p.
9437.
Schwenker, Eric
Jiang, Weixin
Spreadbury, Trevor
Ferrier, Nicola
Cossairt, Oliver
and
Chan, Maria K.Y.
2023.
EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets.
Patterns,
Vol. 4,
Issue. 11,
p.
100843.
Venugopal, Vineeth
and
Olivetti, Elsa
2024.
MatKG: An autonomously generated knowledge graph in Material Science.
Scientific Data,
Vol. 11,
Issue. 1,
Zhang, Lei
He, Mu
Huang, Endai
Ma, Xiaokang
You, Jiaxue
Jen, Alex Kwan Yue
and
Liu, Shengzhong (Frank)
2024.
Overcoming Language Barrier for Scientific Studies via Unsupervised Literature Learning: Case Study on Solar Cell Materials Prediction.
Solar RRL,
Vol. 8,
Issue. 10,
Krishnan, N. M. Anoop
Kodamana, Hariprasad
and
Bhattoo, Ravinder
2024.
Machine Learning for Materials Discovery.
p.
3.
Krishnan, N. M. Anoop
Kodamana, Hariprasad
and
Bhattoo, Ravinder
2024.
Machine Learning for Materials Discovery.
p.
263.