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Hi 👋, I'm Sara Tolba

A PhD student in computational material science. I enjoy studying materials using DFT, Molecular Dynamics, and Machine Learning!

saraatolba

  • ⚡ Fun fact I love Pasta

Connect with me:

saraatolba ssddss

Languages and Tools:

chartjs git linux matlab pandas python pytorch scikit_learn seaborn


saratolba

Sara A Tolba's Projects

dft-mechanical-properties icon dft-mechanical-properties

extracts elastic tensor and calculate the various mechanical properties from VASP finite difference results

mlff icon mlff

A collection of files related to machine learning force fields

mlff_guide_scripts icon mlff_guide_scripts

This repo hosts guide and scripts for on-the-fly training of Machine Learning Force Fields in VASP

moleculeace icon moleculeace

A tool for evaluating the predictive performance on activity cliff compounds of machine learning models

polymergcn icon polymergcn

My project for the Science Undergraduate Laboratory Internship program at Argonne National Laboratory

polymersolarcellsml icon polymersolarcellsml

Code and data for building ML models and testing active learning strategies for polymer solar cells

pymlff icon pymlff

A lightweight python package for reading and writing VASP ML_AB files

vaspmd icon vaspmd

A collection of tips, scripts, tools and files to improve your workflow, or simply help you start with ab initio Molecular Dynamics (AIMD) and Machine Learning Force Field Moelcular Dynamics (MLFF-MD) calculations using VASP, and post-processing tools. Scripts and files are designed to be easily modified to suit your own objectives.

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