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Mannodi-Kanakkithodi, Arun, Pilania, Ghanshyam, Ramprasad, Rampi, Lookman, Turab, Gubernatis, James E. (2016) Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers. Computational Materials Science, 125. 92-99 doi:10.1016/j.commatsci.2016.08.018

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Reference TypeJournal (article/letter/editorial)
TitleMulti-objective optimization techniques to design the Pareto front of organic dielectric polymers
JournalComputational Materials Science
AuthorsMannodi-Kanakkithodi, ArunAuthor
Pilania, GhanshyamAuthor
Ramprasad, RampiAuthor
Lookman, TurabAuthor
Gubernatis, James E.Author
Year2016 (December)Volume125
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2016.08.018Search in ResearchGate
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Mindat Ref. ID9509980Long-form Identifiermindat:1:5:9509980:0
GUID0
Full ReferenceMannodi-Kanakkithodi, Arun, Pilania, Ghanshyam, Ramprasad, Rampi, Lookman, Turab, Gubernatis, James E. (2016) Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers. Computational Materials Science, 125. 92-99 doi:10.1016/j.commatsci.2016.08.018
Plain TextMannodi-Kanakkithodi, Arun, Pilania, Ghanshyam, Ramprasad, Rampi, Lookman, Turab, Gubernatis, James E. (2016) Multi-objective optimization techniques to design the Pareto front of organic dielectric polymers. Computational Materials Science, 125. 92-99 doi:10.1016/j.commatsci.2016.08.018
In(n.d.) Computational Materials Science Vol. 125. Elsevier BV

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Mannodi-Kanakkithodi, Arun, Pilania, Ghanshyam, Huan, Tran Doan, Lookman, Turab, Ramprasad, Rampi (2016) Machine Learning Strategy for Accelerated Design of Polymer Dielectrics. Scientific Reports, 6. doi:10.1038/srep20952
Mannodi-Kanakkithodi, Arun, Pilania, Ghanshyam, Ramprasad, Rampi (2016) Critical assessment of regression-based machine learning methods for polymer dielectrics. Computational Materials Science, 125. 123-135 doi:10.1016/j.commatsci.2016.08.039
Huan, Tran Doan, Mannodi-Kanakkithodi, Arun, Kim, Chiho, Sharma, Vinit, Pilania, Ghanshyam, Ramprasad, Rampi (2016) A polymer dataset for accelerated property prediction and design. Scientific Data, 3. doi:10.1038/sdata.2016.12
Ramprasad, Rampi, Batra, Rohit, Pilania, Ghanshyam, Mannodi-Kanakkithodi, Arun, Kim, Chiho (2017) Machine learning in materials informatics: recent applications and prospects. npj Computational Materials, 3. doi:10.1038/s41524-017-0056-5
Pilania, G., Mannodi-Kanakkithodi, A., Uberuaga, B. P., Ramprasad, R., Gubernatis, J. E., Lookman, T. (2016) Machine learning bandgaps of double perovskites. Scientific Reports, 6. doi:10.1038/srep19375
Treich, Gregory M., Nasreen, Shamima, Mannodi Kanakkithodi, Arun, Ma, Rui, Tefferi, Mattewos, Flynn, James, Cao, Yang, Ramprasad, Rampi, Sotzing, Gregory A. (2016) Optimization of Organotin Polymers for Dielectric Applications. ACS Applied Materials & Interfaces, 8. 21270-21277 doi:10.1021/acsami.6b04091
Huan, Tran Doan, Mannodi-Kanakkithodi, Arun, Ramprasad, Rampi (2015) Accelerated materials property predictions and design using motif-based fingerprints. Physical Review B, 92 (1) doi:10.1103/physrevb.92.014106
Gopakumar, Abhijith M., Balachandran, Prasanna V., Xue, Dezhen, Gubernatis, James E., Lookman, Turab (2018) Multi-objective Optimization for Materials Discovery via Adaptive Design. Scientific Reports, 8. doi:10.1038/s41598-018-21936-3
Mannodi-Kanakkithodi, Arun, Huan, Tran Doan, Ramprasad, Rampi (2017) Mining Materials Design Rules from Data: The Example of Polymer Dielectrics. Chemistry of Materials, 29. 9001-9010 doi:10.1021/acs.chemmater.7b02027
Misra, Mayank, Mannodi-Kanakkithodi, Arun, Chung, T. C., Ramprasad, Rampi, Kumar, Sanat K. (2016) Critical role of morphology on the dielectric constant of semicrystalline polyolefins. The Journal of Chemical Physics, 144 (23). 234905pp. doi:10.1063/1.4953182
Pilania, G., Gubernatis, J.E., Lookman, T. (2017) Multi-fidelity machine learning models for accurate bandgap predictions of solids. Computational Materials Science, 129. 156-163 doi:10.1016/j.commatsci.2016.12.004
 
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