2D Material Synthesis Optimization
Description
Developed neural network methods and thermodynamic models to optimize the synthesis of 2D quantum materials, reducing computational predictions and experimental discovery time.
Skills & Technologies Used
PythonNumPyMachine LearningQuantum ChemistryASE/GPAWChemical Vapor Deposition (CVD)Atomic Force Microscopy (AFM)Raman SpectroscopyScanning Electron Microscopy (SEM)Transmission Electron Microscopy (TEM)Density Functional Theory (DFT)Gaussian ProcessesBayesian OptimizationDeep Neural NetworksScikit-LearnCondensed Matter PhysicsTensorFlowGit/GitHub/GitLabSlurm (HPC)LinuxMacOSWindowsBashTerminal