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
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Has metadatahttps://figshare.com/articles/conference_contribution/Accelerating_material_discovery_for_CdTe_solar_cells_using_knowledge_intense_word_embeddings/27854034
LanguageEnglish
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Jankun-Kelly, T., Dwyer, T., Holten, D., Hurter, C., Nollenburg, M., Weaver, C. and Xu, K. 2014. Scalability considerations for multivariate graph visualization. in: Kerren, A., Purchase, H. and Ward, M. (ed.) Multivariate Network Visualization: Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions Springer International Publishing.
SchemaLine: timeline visualization for sensemaking
Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. SchemaLine: timeline visualization for sensemaking. 18th International Conference on Information Visualisation (IV). pp. 225-233
Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Hu, G. and Windridge, D. 2015. Identifying similar patients using self-organising maps: a case study on type-1 diabetes self-care survey responses. https://doi.org/10.48550/arXiv.1503.06316
Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children
Spiteri, M., Lewis, E., Windridge, D. and Avula, S. 2015. Longitudinal MRI assessment: the identification of relevant features in the development of posterior fossa syndrome in children. Medical imaging 2015: Computer-Aided Diagnosis. Orlando, Florida, United States 21 Feb 2015 Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2081591
Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics
Tirunagari, S., Poh, N., Bober, M. and Windridge, D. 2015. Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. 2015 IEEE International Workshop on Information Forensics and Security (WIFS). Rome, Italy 16 - 19 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-6 https://doi.org/10.1109/WIFS.2015.7368599
Globally optimal 2D-3D registration from points or lines without correspondences
Brown, M., Windridge, D. and Guillemaut, J. 2015. Globally optimal 2D-3D registration from points or lines without correspondences. 2015 IEEE International Conference on Computer Vision (ICCV). Santiago, Chile 07 - 13 Dec 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 2111-2119 https://doi.org/10.1109/ICCV.2015.244
A generalisable framework for saliency-based line segment detection
Brown, M., Windridge, D. and Guillemaut, J. 2015. A generalisable framework for saliency-based line segment detection. Pattern Recognition. 48 (12), pp. 3993-4011. https://doi.org/10.1016/j.patcog.2015.06.015
A novel Markov logic rule induction strategy for characterizing sports video footage
Windridge, D., Kittler, J., De Campos, T., Yan, F., Christmas, W. and Khan, A. 2015. A novel Markov logic rule induction strategy for characterizing sports video footage. IEEE MultiMedia. 22 (2), pp. 24-35. https://doi.org/10.1109/MMUL.2014.36
Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems
Da Lio, M., Biral, F., Bertolazzi, E., Galvani, M., Bosetti, P., Windridge, D., Saroldi, A. and Tango, F. 2015. Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems. IEEE Transactions on Intelligent Transportation Systems. 16 (1), pp. 244-263. https://doi.org/10.1109/TITS.2014.2330199
Breast cancer data analytics with missing values: a study on ethnic, age and income groups
Tirunagari, S., Poh, N., Abdulrahman, H., Nemmour, N. and Windridge, D. 2015. Breast cancer data analytics with missing values: a study on ethnic, age and income groups. ArXiv e-prints: Quantitative Biology > Quantitative Methods. https://doi.org/10.48550/arXiv.1503.03680
Analytic provenance for sensemaking: a research agenda
Xu, K., Attfield, S., Jankun-Kelly, T., Wheat, A., Nguyen, P. and Selvaraj, N. 2015. Analytic provenance for sensemaking: a research agenda. IEEE Computer Graphics and Applications. 35 (3), pp. 56-64. https://doi.org/10.1109/MCG.2015.50
Detection of face spoofing using visual dynamics
Tirunagari, S., Poh, N., Windridge, D., Iorliam, A., Suki, N. and Ho, A. 2015. Detection of face spoofing using visual dynamics. IEEE Transactions on Information Forensics and Security. 10 (4), pp. 762-777. https://doi.org/10.1109/TIFS.2015.2406533
Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation
Khan, A., Windridge, D. and Kittler, J. 2014. Multilevel Chinese takeaway process and label-based processes for rule induction in the context of automated sports video annotation. IEEE Transactions on Cybernetics. 44 (10), pp. 1910-1923. https://doi.org/10.1109/TCYB.2014.2299955
Domain anomaly detection in machine perception: a system architecture and taxonomy
Kittler, J., Christmas, W., De Campos, T., Windridge, D., Yan, F., Illingworth, J. and Osman, M. 2014. Domain anomaly detection in machine perception: a system architecture and taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36 (5), pp. 845-859. https://doi.org/10.1109/TPAMI.2013.209
A saliency-based framework for 2D-3D registration
Brown, M., Guillemaut, J. and Windridge, D. 2014. A saliency-based framework for 2D-3D registration. 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014). Lisbon, Portugal 05 - 08 Jan 2014 SCITEPRESS - Science and Technology Publications. pp. 265-273 https://doi.org/10.5220/0004675402650273
Supervised selective kernel fusion for membrane protein prediction
Tatarchuk, A., Sulimova, V., Torshin, I., Mottl, V. and Windridge, D. 2014. Supervised selective kernel fusion for membrane protein prediction. Comin, M., Käll, L., Marchiori, E., Ngom, A. and Rajapakse, J. (ed.) 9th IAPR International Conference Pattern Recognition in Bioinformatics (PRIB 2014). Stockholm, Sweden 21 - 23 Aug 2014 Springer. pp. 98-109 https://doi.org/10.1007/978-3-319-09192-1_9
Challenges in designing an online healthcare platform for personalised patient analytics
Poh, N., Tirunagari, S. and Windridge, D. 2014. Challenges in designing an online healthcare platform for personalised patient analytics. 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD). Orlando, FL., USA 09 - 12 Dec 2014 IEEE. pp. 1-6 https://doi.org/10.1109/CIBD.2014.7011526
Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses
Tirunagari, S., Poh, N., Aliabadi, K., Windridge, D. and Cooke, D. 2014. Patient level analytics using self-organising maps: a case study on type-1 diabetes self-care survey responses. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). Orlando, FL., USA 09 - 12 Dec 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 304-309 https://doi.org/10.1109/CIDM.2014.7008682
Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs
Chernousova, E., Levdik, P., Tatarchuk, A., Mottl, V. and Windridge, D. 2014. Non-enumerative cross validation for the determination of structural parameters in feature-selective SVMs. 22nd International Conference on Pattern Recognition ICPR 2014. Stockholm, Sweden 24 - 28 Aug 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 3654-3659 https://doi.org/10.1109/ICPR.2014.628
Linear regression via elastic net: non-enumerative leave-one-out verification of feature selection
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
TimeSets: timeline visualization for sensemaking
Nguyen, P., Xu, K., Walker, R. and Wong, B. 2014. TimeSets: timeline visualization for sensemaking. IEEE VIS Workshop on Provenance for Sensemaking. Paris, France 10 Nov 2014
POLAR - an interactive patterns of life visualisation tool for intelligence analysis
Kodagoda, N., Attfield, S., Nguyen, P., Zhang, L., Xu, K., Wong, B., Wagstaff, A., Phillips, G., Bulloch, J., Marshall, J. and Bertram, S. 2014. POLAR - an interactive patterns of life visualisation tool for intelligence analysis. IEEE Joint Conference on Intelligence and Security Informatics Conference. The Hague, Netherlands Institute of Electrical and Electronics Engineers. pp. 327
Visual analysis of streaming data with SAVI and SenseMAP
Xu, K., Nguyen, P. and Fields, B. 2014. Visual analysis of streaming data with SAVI and SenseMAP. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST). Paris, France 25 - 31 Oct 2014 pp. 389-390 https://doi.org/https://doi.org/10.1109/vast.2014.7042580
An extensible framework for provenance in human terrain visual analytics
Walker, R., Slingsby, A., Dykes, J., Xu, K., Wood, J., Nguyen, P., Stephens, D., Wong, B. and Zheng, Y. 2013. An extensible framework for provenance in human terrain visual analytics. IEEE Transactions on Visualization and Computer Graphics. 19 (12), pp. 2139-2148. https://doi.org/10.1109/TVCG.2013.132
Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness
Kodagoda, N., Attfield, S., Choudhury, S., Rooney, C., Mapp, G., Nguyen, P., Slabbert, L., Wong, B., Aiash, M., Zheng, Y., Xu, K. and Lasebae, A. 2014. Concern level assessment: building domain knowledge into a visual system to support network-security situation awareness. Information Visualization. 13 (4), pp. 346-360. https://doi.org/10.1177/1473871613490291
A multi-resolution surface distance model for k-NN query processing
Deng, K., Zhou, X., Shen, H., Liu, Q., Xu, K. and Lin, X. 2008. A multi-resolution surface distance model for k-NN query processing. VLDB Journal. 17 (5), pp. 1101-1119. https://doi.org/10.1007/s00778-007-0053-2
Visualization and analysis of the complexome network of saccharomyces cerevisiae
Li, S., Xu, K. and Wilkins, M. 2011. Visualization and analysis of the complexome network of saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548c
Semi-bipartite graph visualization for gene ontology networks
Xu, K., Williams, R., Hong, S., Liu, Q. and Zhang, J. 2010. Semi-bipartite graph visualization for gene ontology networks. in: Graph drawing : 17th International Symposium (GD 2009) Revised Papers Springer.
Gene specific co-regulation discovery: an improved approach
Zhang, J., Liu, Q. and Xu, K. 2009. Gene specific co-regulation discovery: an improved approach. in: Allen, G., Nabrzyski, J., Seidel, E. and Albada, G. (ed.) Computational Science – ICCS 2009 : 9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part I Berlin Springer.
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
Biological network visualisation.
Xu, K. 2012. Biological network visualisation. 3rd Annual Visualizing Biological Data Conference (VizBi2012). Heidelberg, Germany 06 - 08 Mar 2012
Provenance for intelligence analysis using visual analytics.
Wong, B., Xu, K. and Attfield, S. 2011. Provenance for intelligence analysis using visual analytics. CHI 2011: Workshop on Analytic Provenance. Vancouver, BC, Canada 07 - 08 May 2011
Interactive visualization for information analysis in medical diagnosis
Wong, B., Xu, K. and Holzinger, A. 2011. Interactive visualization for information analysis in medical diagnosis. Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD). Graz, Austria 24 Nov 2011
INVISQUE: Intuitive information exploration through interactive visualization
Wong, B., Chen, R., Kodagoda, N., Rooney, C. and Xu, K. 2011. INVISQUE: Intuitive information exploration through interactive visualization. The ACM CHI Conference on Human Factors in Computing Systems. Vancouver, BC, Canada 07 - 12 May 2011
Visualisation and analysis of the complexome network of Saccharomyces cerevisiae.
Li, S., Xu, K. and Wilkins, M. 2011. Visualisation and analysis of the complexome network of Saccharomyces cerevisiae. Journal of Proteome Research. 10 (10), pp. 4744-4756. https://doi.org/10.1021/pr200548c
A user study on curved edges in graph visualization
Xu, K., Rooney, C., Passmore, P., Ham, D. and Nguyen, P. 2012. A user study on curved edges in graph visualization. IEEE Transactions on Visualization and Computer Graphics. 18 (12), pp. 2449 -2456. https://doi.org/10.1109/TVCG.2012.189
M-Sieve: a visualisation tool for supporting network security analysts
Choudhury, S., Kodagoda, N., Nguyen, P., Rooney, C., Attfield, S., Xu, K., Zheng, Y., Wong, B., Chen, R., Mapp, G., Slabbert, L., Aiash, M. and Lasebae, A. 2012. M-Sieve: a visualisation tool for supporting network security analysts. VisWeek 2012. Seattle, WA, USA 14 - 19 Oct 2012
Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds
Choudhury, S., Brierley, C., Rooney, C., Xu, K., Chen, R., Wong, B. and Atwell, E. 2011. Middlesex University’s Invisque visual analytics tool: supported by text analytics techniques from the University of Leeds. IEEE VAST Challenge 2011. Providence, Rhode Island, USA 23 - 28 Oct 2011
INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections
Wong, B., Choudhury, S., Rooney, C., Chen, R. and Xu, K. 2011. INVISQUE: Technology and methodologies for interactive information visualization and analytics in large library collections. Gradmann, S., Borri, F., Meghini, C. and Schuldt, H. (ed.) Springer.
Visualisation of the complexome.
Li, S., Xu, K. and Wilkins, M. 2010. Visualisation of the complexome. Human Proteome Organisation 9th Annual World Congress. Sydney Convention and Exhibition centre
Genetic sequences: tracing the mutations of a disease.
Mitchell, I., Passmore, P. and Xu, K. 2010. Genetic sequences: tracing the mutations of a disease. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010
Hospitalization records: characterization of pandemic spread.
Passmore, P., Zheng, Y., Rooney, C., Al-Sheikh, T. and Xu, K. 2010. Hospitalization records: characterization of pandemic spread. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010
Web service management system for bioinformatics research: a case study.
Xu, K., Yu, Q., Liu, Q., Zhang, J. and Bouguettaya, A. 2011. Web service management system for bioinformatics research: a case study. Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9
A knowledge discovery service system for provenance exploration
Liu, Q., Zhang, J., James, F., Xu, K. and Dinesh, N. 2011. A knowledge discovery service system for provenance exploration. International Conference on Data and Knowledge Engineering (ICDKE) 2011. Milan, Italy 06 - 08 Sep 2011
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
Seeing more than the graph: evaluation of multivariategraph visualization methods.
Cunningham, A., Xu, K. and Thomas, B. 2010. Seeing more than the graph: evaluation of multivariategraph visualization methods. Santucci, G. (ed.) Association for Computing Machinery (ACM). pp. 429 https://doi.org/10.1145/1842993.1843106