One of the key bottlenecks in the development of high voltage electrical systems is the
identification of suitable insulating materials capable of supporting high voltages. Under …

Breakdown strength, the maximum electric field that can be applied on a dielectric polymer
without destroying its insulating characteristics, sets an upper limit on the maximum energy …

Using a training set consisting of twenty-two well-known semiconducting organic polymers,
we studied the ability of a simple linear regression supervised machine learning algorithm to …

The electronic band structure, especially the defect states at the conduction band tail,
dominates electron transport and electrical degradation of a dielectric material under an …

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 …

The electronic structure of polymers contains signatures that correlate with their short-term
and long-term integrity when subjected to large electric stresses. A detailed picture of the …

Evaluation of the insulating properties of polymers, such as the dielectric constant and
dissipation factor, is crucial in electronic devices, including field-effect transistors and …

Emerging computation-and data-driven approaches are particularly useful for rationally
designing materials with targeted properties. Generally, these approaches rely on identifying …

The electronic structure of an insulator encodes essential signatures of its short-term
electrical performance and long-term reliability. A critical long-standing challenge though is …

Machine learning has shown its great potential in the accelerated discovery of advanced
materials in the field of computational molecular design. High-temperature polymer …