The DOI matches its OpenAlex record; 5 of the 5 references it cites were found in a registry or an index.
Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation
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Citations
Cites
WaveNet: a generative model for raw audio
Oord, A. V. D., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., & Kavukcuoglu, K. (2016) · arXiv · doi:10.48550/arxiv.1609.03499 · Cited by 4,911
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Brock, A., Donahue, J., & Simonyan, K. (2018) · arXiv · doi:10.48550/arxiv.1809.11096 · Cited by 3,717
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · arXiv · doi:10.48550/arxiv.1406.1078 · Cited by 3,317
Multiphoton entanglement and interferometry
Pan, J.-W., Chen, Z.-B., Lu, C.-Y., Weinfurter, H., Zeilinger, A., & Żukowski, M. (2012) · Reviews of Modern Physics · doi:10.1103/revmodphys.84.777 · Cited by 1,410
Chimera: enabling hierarchy based multi-objective optimization for self-driving laboratories
Häse, F., Roch, L. M., & Aspuru-Guzik, A. (2018) · Chemical Science · doi:10.1039/c8sc02239a · Cited by 161
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Cited by
Recent advances and applications of deep learning methods in materials science
Choudhary, K., DeCost, B., Chen, C., Jain, A., Tavazza, F., Cohn, R., Park, C. W., Choudhary, A., Agrawal, A., Billinge, S. J. L., et al. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00734-6 · Cited by 1,172
Molecular contrastive learning of representations via graph neural networks
Wang, Y., Wang, J., Cao, Z., & Barati Farimani, A. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00447-x · Cited by 851
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Polykovskiy, D., Zhebrak, A., Sanchez-Lengeling, B., Golovanov, S., Tatanov, O., Belyaev, S., Kurbanov, R., Artamonov, A., Aladinskiy, V., Veselov, M., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.565644 · Cited by 849
Self-citationSelf-Driving Laboratories for Chemistry and Materials Science
Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., Lo, S., Pablo-García, S., Rajaonson, E. M., Skreta, M., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00055 · Cited by 707
Self-citationLarge-scale chemical language representations capture molecular structure and properties
Ross, J., Belgodere, B., Chenthamarakshan, V., Padhi, I., Mroueh, Y., & Das, P. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00580-7 · Cited by 590
Metadata
- Authors
- Krenn, M., Häse, F., Nigam, A., Friederich, P., & Aspuru‐Guzik, A.
- Venue
- Repository KITopen (Karlsruhe Institute of Technology)
- Publisher
- Karlsruhe Institute of Technology
- Published
- 2020-01-01
- OpenAlex
- W3045928028
- Cited by
- 618
- References
- 5
- FWCI
- 42.05
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation. https://app.cochat.ai/papers/10.5445/ir/1000128111
- The paper
- Krenn, M., Häse, F., Nigam, A., Friederich, P., & Aspuru‐Guzik, A. (2020). Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation. Repository KITopen (Karlsruhe Institute of Technology). https://doi.org/10.5445/ir/1000128111
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.