Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings

Conference paper

Liu, X., Barth, K., Windridge, D. and Xu, K. 2024. Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings. 52nd Photovoltaic Specialist Conference. Seattle, WA, USA 09 - 14 Jun 2024 IEEE. pp. 0281-0283 https://doi.org/10.1109/pvsc57443.2024.10749288
TypeConference paper
TitleAccelerating material discovery for CdTe solar cells using knowledge intense word embeddings
AuthorsLiu, X., Barth, K., Windridge, D. and Xu, K.
Abstract

Thin film CdTe is the most successful second-generation solar photovoltaic technology, and further development will significantly contribute to net zero emission targets. Natural language processing technologies are applied to accelerate research on CdTe solar cells towards new material discoveries. In this work, various language models are used to extract the most frequently used words from the CdTe literature. The performance of these language models is tested and compared using a customised evaluation dataset. The optimised GloVe language model is exploited to construct a knowledge diagram in the vector space and track the material application timeline. The data-driven approach provides useful insights for future research and will accelerate material discoveries in CdTe solar cells.

Sustainable Development Goals13 Climate action
7 Affordable and clean energy
Middlesex University ThemeSustainability
Research GroupArtificial Intelligence group
Conference52nd Photovoltaic Specialist Conference
Page range0281-0283
Proceedings Title2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC)
ISSN0160-8371
Electronic2995-1755
ISBN
Electronic9781665464260
Paperback9781665475822
PublisherIEEE
Publication dates
Print09 Jun 2024
Online15 Nov 2024
Publication process dates
AcceptedApr 2024
Deposited29 Jan 2025
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/pvsc57443.2024.10749288
Web address (URL) of conference proceedingshttps://doi.org/10.1109/PVSC57443.2024
LanguageEnglish
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Chernousova, E., Razin, N., Krasotkina, O., Mottl, V. and Windridge, D. 2014. Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection. in: Aleskerov, F., Goldengorin, B. and Pardalos, P. (ed.) Clusters, Orders, and Trees: Methods and Applications: In Honor of Boris Mirkin's 70th Birthday New York Springer.
Automatic annotation of tennis games: an integration of audio, vision, and learning
Yan, F., Kittler, J., Windridge, D., Christmas, W., Mikolajczyk, K., Cox, S. and Huang, Q. 2014. Automatic annotation of tennis games: an integration of audio, vision, and learning. Image and Vision Computing. 32 (11), pp. 896-903. https://doi.org/10.1016/j.imavis.2014.08.004
A kernel-based framework for medical big-data analytics
Windridge, D. and Bober, M. 2014. A kernel-based framework for medical big-data analytics. in: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges Springer. pp. 197-208
Trained eyes: experience promotes adaptive gaze control in dynamic and uncertain visual environments
Taya, S., Windridge, D. and Osman, M. 2013. Trained eyes: experience promotes adaptive gaze control in dynamic and uncertain visual environments. PLoS ONE. 8 (8). https://doi.org/10.1371/journal.pone.0071371
High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP)
Abbey, C., Hope, C., Sterr, A., Elangovan, P., Geades, N., Windridge, D., Young, K., Wells, K. and Mello-Thoms, C. 2013. High throughput screening for mammography using a human-computer interface with rapid serial visual presentation (RSVP). SPIE Proceedings Vol. 8673. https://doi.org/10.1117/12.2007557
Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene
Taya, S., Windridge, D. and Osman, M. 2012. Looking to score: the dissociation of goal influence on eye movement and meta-attentional allocation in a complex dynamic natural scene. PLoS ONE. 7 (6). https://doi.org/10.1371/journal.pone.0039060
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
Poh, N., Windridge, D., Mottl, V., Tatarchuk, A. and Eliseyev, A. 2010. Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Transactions on Information Forensics and Security. 5 (3), pp. 461-469. https://doi.org/10.1109/TIFS.2010.2053535