Nanocrystalline quantum dots sparkle with promise for uses ranging from medicine to national security, but one of their most important electronic properties has long been misunderstood. Scientists at ...

The illustration depicts some of the innovative ideas that underpin the new machine learning model that can quickly and accurately predict the dielectric function of simple molecules, such as shifting ...

This coupling heavily influences performance and yield. Heat induces mechanical deformation, deformation alters carrier ...

The non-Debye dielectric loss spectra can be divided into two groups according to the shape of the main peak: typical and atypical. Typical spectra, for which the high-frequency power-law exponent is ...

Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo Collaboration Hub) have developed a new machine learning model to predict the ...

The physical properties of the layer structure being analyzed are included in the measured ellipsometric parameters (Ψ and Δ). This information exhibits the layer thickness and refractive index ...

Engineers at Pennsylvania State University (Penn State) have developed a self-healing dielectric material that retains all of its original functions after multiple break and repair cycles. The ...

The measured ellipsometric parameters (Ψ and Δ) include the physical properties of the layer structure being analyzed. This information shows the layer thickness and refractive index concerning the ...

The dielectric constant for top soil at nearly static conditions has been found to vary from a relative value of 3 for dry soils to as high as 500 for saturated top soils. If an experiment is ...

The Clausius-Mossotti function for the dielectric constant is expanded in terms of single atom and pair polarizabilities, leading to contributions that depend on both the trace and the anisotropy of ...