Semiconductor alloys provide a natural means of tuning the magnitude of the forbidden gap
and other material parameters so as to optimise and widen the application of semiconductor …

We apply unsupervised machine learning techniques, mainly principal component analysis
(PCA), to compare and contrast the phase behavior and phase transitions in several …

Modern ESCA: The Principles and Practice of X-Ray Photoelectron Spectroscopy is a
unique text/reference that focuses on the branch of electron spectroscopy generally labeled …

Alloys of zinc chalcogenides exhibit both some of the smallest (for Zn S x Se 1− x) and the
largest (for Zn S x Te 1− x) optical bowing observed in isovalent semiconductor systems. A …

Six new phase diagrams, including a novel multicritical topology and two new ordered
phases, high-entropy ferrimagnetic and antiquadrupolar, are found in the spin-1 Ising model …

Recent progress in computational materials science in the area of semiconductor materials
is reviewed. Reliable predictions can now be made for a wide range of problems, such as …

Electronic-structure calculations allow us to predict that hypothetical ordered mixed crystals
of c-BN and diamond representative of the expected short-range order in the alloys show a …

The effect of bond randomness on tricritical and critical end-point phenomena is studied by
renormalization-group theory. In three dimensions, the pure-system tricritical point is …

The recently discovered order‐disorder transformations in pseudobinary semiconductor
alloys A x B 1− x C are shown to belong to a broader class of such transformations in A n B …

The magnetic order–disorder layering transitions of a spin-1 Ising model are investigated,
under the effect of a variable surface crystal field Δs, using the mean-field theory. Each layer …