Electronic transport properties from first-principles calculations
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Updated
Dec 2, 2024 - Python
Electronic transport properties from first-principles calculations
A high-performance framework for solving phonon and electron Boltzmann equations
A tool for streamlining data analysis and visualisation for thermoelectrics and charge carrier transport in computational materials science.
Accelerated Design of Layered Materials with Bayesian Optimization
Data-driven risk-conscious thermoelectric materials discovery
Python scripts to calculate thermoelectric properties by using NEGF method in OpenMX code (http://www.openmx-square.org/).
Projects corresponding to the domain of electronic and vision-based bio-medical engineering.
🔨 Feel++ Toolbox Examples
Quasi Steady State 1D Thermoelectric model to evaluate the potential electrical output
A 2D transient heat transfer model to predict the electrical power output of a TEG system on a car.
TUT FYS-1010 Physics Laboratory 1, 2017
To save humanity
closed loop materials discovery using error correction learning
Closed-loop control of a thermoelectric cooler
EPICS StreamDevice Driver for the MeCom Protocol from Meerstetter Engineering implemented for the TEC1122 two channel Peltier driver.
Solar Thermophotovoltaic Cell - EIC 2017 Project
Design and fabrication files for a temperature-controlled computer mouse.
Code to generate Pisarenko plots using various band models
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