Computing the Bandgap of a 2D Photonic Crystal by COMSOL-MATLAB Scripting

Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX3 and A2BB’X6

MCUVoltage measures the voltage supply (Vcc) of Arduino without extra components.

Framework for the Simulation of Temperature Dependent Semiconductor Parameters in Silicon Solar Cells and their Respective Impact on the Current Density-Voltage Characteristic

Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).

Automatic Prediction of Band Gaps of Inorganic Materials using Machine Learning

Calibrate AVR MCU clock frequency and internal reference voltage and set calibration values at program startup

avsdbdg_3v3 is a Bandgap Reference circuit, which is used to generate a constant voltage reference in analog domain which is independent of temperature and supply voltage variations.

PTAT bias current source for sky130nm

Band structure calculator for smiconductor by emprical pseudo potential

Process UV-Vis absorption spectra, make Tauc transformation for direct/indirect allowed transition, extract band gap values for corresponding transition type, and plot figures

Machine learning for determining band-gap from crystalline formula using a materials informatics approach.

Calculation of the edge potentials of valence and conduction bands. The band edge potentials are in normalized hydrogen scale.

It's a temperature independent voltage reference with transistor only.

Tuning halide ion concentrations to optimize the performance of flexible perovskite solar cells under bending curvature. Using simulations and experimental data, the research explores how strains affect key properties like bandgap energy, charge mobility, and thermal conductivity with applications in solar cells for curved surfaces.