Rational design of all organic polymer dielectrics
By Vinit Sharma, Chenchen Wang, R. Lorenzini, Rui Ma, Qiang Zhu, D. Sinkovits, Ghanshyam Pilania, Artem R. Oganov, Sanat K. Kumar, G. Sotzing and 2 more. Nature Communications, 2014
303 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/cd07436cc1cc7e54b757ae3d42e5f5ee9da6a0a8
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In Biomedical Engineering
In Materials Chemistry
Citations in the corpus
- Dielectric materials for high-temperature capacitors (2018, background): “It is thought that the incorporated fillers would either block charge injection from electrodes or scatter electron to reduce conduction loss at high fields and elevated temperatures [96, 109, 110].”
- Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions (2018, methodology): “42 − 31,39,40,43 − 48 The T g , solubility parameter and density data was obtained from existing databases of experimental measurements.”
- Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design (2019, unknown): “Sharma et al. [11] proposed a hierarchical ML-based method to accelerate the identification of polymer dielectrics that outperform standard materials.”