Multi-Objective Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-02383-5_5
Reference23 articles.
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2. A. Mannodi-Kanakkithodi, G. Pilania, T. D. Huan, T. Lookman, and R. Ramprasad. Machine learning strategy for accelerated design of polymer dielectrics. Scientific Reports, 6:20952, 2016. DOI: https://doi.org/10.1038/srep20952 117, 123, 124, 125
3. A. Mannodi-Kanakkithodi, G. Pilania, R. Ramprasad, T. Lookman, and J. E. Gubernatis. Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers. Computational Materials Science, 125:92, 2016. DOI: https://doi.org/10.1016/j.commatsci.2016.08.018 117, 123, 126
4. A. M. Gopakumar, P. V. Balachandran, D. Xue, J. E. Gubernatis, and T. Lookman. Multi-objective optimization for materials discovery via adaptive design. Scientific Reports, 8(1):3738, 2018. DOI: https://doi.org/10.1038/s41598-018-21936-3 118, 128, 132
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