Pinned Repositories
BGML
Automatic Prediction of Band Gaps of Inorganic Materials using Machine Learning
CCNW4RMC
Official implementation of "Current-controlled nanomagnetic writing for reconfigurable magnonic crystals"
CurieML
Prediction of Curie Temperature using Machine Learning
GBFS4MPPML
Official implementation of "Gradient Boosted and Statistical Feature Selection Pipeline for Materials Property Predictions"
MNLL2ELDM
Minimisation of a negative log likelihood fit to extract the lifetime of the D^0 meson (MNLL2ELDM)
MSDPS
Modelling Single & Double Pendulum Systems (MSDPS) - Using finite difference methods for solving ordinary differential equations
PM
Percolation Modelling (PM)
RayTracer
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)
SuperconductivityML
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors
UVVIS
Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules using Convolutional Neural Networks
Songyosk's Repositories
Songyosk/UVVIS
Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules using Convolutional Neural Networks
Songyosk/GBFS4MPPML
Official implementation of "Gradient Boosted and Statistical Feature Selection Pipeline for Materials Property Predictions"
Songyosk/BGML
Automatic Prediction of Band Gaps of Inorganic Materials using Machine Learning
Songyosk/CurieML
Prediction of Curie Temperature using Machine Learning
Songyosk/CCNW4RMC
Official implementation of "Current-controlled nanomagnetic writing for reconfigurable magnonic crystals"
Songyosk/RayTracer
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)
Songyosk/MNLL2ELDM
Minimisation of a negative log likelihood fit to extract the lifetime of the D^0 meson (MNLL2ELDM)
Songyosk/MSDPS
Modelling Single & Double Pendulum Systems (MSDPS) - Using finite difference methods for solving ordinary differential equations
Songyosk/PM
Percolation Modelling (PM)
Songyosk/SuperconductivityML
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors
Songyosk/AlloysML
Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine Learning