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Hi there 👋

I'm a PhD student in the MolMD group at Stony Brook University looking into how data can be used to expedite materials design and discovery for energy storage applications. For this, I'm also developing new computational tools for predicting and optimizing materials properties.

Rasha's Projects

atomate icon atomate

atomate is a powerful software for computational materials science and contains pre-built workflows.

combat icon combat

The ComBat Database: A database of quantum-chemical and molecular dynamics properties for Li-S electrolytes.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dscribe icon dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

lammps icon lammps

Public development project of the LAMMPS MD software package

mdgo icon mdgo

A codebase for classical molecular dynamics (MD) simulation setup and results analysis.

mispr-dataset icon mispr-dataset

Materials property datasets using high-throughput DFT simulations

mispr_test icon mispr_test

A software for automating materials science computations

nmr-dataset icon nmr-dataset

NMR dataset using DFT calculations with a mixed explicit/implicit solvation model

papers icon papers

Summaries of machine learning papers

rdkit icon rdkit

The official sources for the RDKit library

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