2021
DOI: 10.1021/acsami.1c11885
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Dielectric Polymers Tolerant to Electric Field and Temperature Extremes: Integration of Phenomenology, Informatics, and Experimental Validation

Abstract: Flexible polymer dielectrics tolerant to electric field and temperature extremes are urgently needed for a spectrum of electrical and electronic applications. Given the complexity of the dielectric breakdown mechanism and the vast chemical space of polymers, the discovery of suitable candidates is nontrivial. We have laid the foundation for a systematic search of the polymer chemical space, which starts with “gold-standard” experimental measurements and data on the temperature-dependent breakdown strength (E b… Show more

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Cited by 20 publications
(13 citation statements)
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“…On the other hand, the band gap of P(MMA–VK) is as high as 4.73 eV, which is sufficiently high to achieve a high breakdown strength as suggested in the literature. 43 Usually, the introduction of a conductive component into the insulating polymer might cause considerable controversy and even destroy the insulating performance. Actually, the introduction of semi-conductive VK units with a certain content may affect the insulation of the polymer in two ways, one is capturing charge carriers and the other is transporting charges excited from the HOMO energy level to the LUMO energy level.…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, the band gap of P(MMA–VK) is as high as 4.73 eV, which is sufficiently high to achieve a high breakdown strength as suggested in the literature. 43 Usually, the introduction of a conductive component into the insulating polymer might cause considerable controversy and even destroy the insulating performance. Actually, the introduction of semi-conductive VK units with a certain content may affect the insulation of the polymer in two ways, one is capturing charge carriers and the other is transporting charges excited from the HOMO energy level to the LUMO energy level.…”
Section: Resultsmentioning
confidence: 99%
“…While predicting the properties in virtual experimentation is an important assessment of a model, experimental validation of ML models as a design tool is becoming a standard approach to demonstrating capabilities. 51 When the GPR trained on all 63 data points was subjected to a grid of ∼700 unique PU formulations, modulus predictions were made throughout the grid and the desired responses could be mapped to structure and stoichiometry. Here the design aim was to identify unique samples that would yield three different modulus values while 4.…”
Section: Resultsmentioning
confidence: 99%
“…This would be a key component for enabling semiautonomous data gathering for materials property information. This data would serve to accelerate our past attempts at rational design of application-specific polymers. …”
Section: Discussionmentioning
confidence: 96%