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1. An interactive tool built with C++ and SFML to visualize algorithms like BFS, DFS, A*, Dijkstra, and Greedy Best-First Search.

   C++ 7

2. This project uses the NASA Turbofan Engine Dataset and an LSTM model to predict equipment failures, enabling proactive maintenance through time-series analysis.

   Jupyter Notebook 7

3. QM9-GPT is a deep learning platform that performs Inverse Molecular Design process of starting with a desired physical property and generating the chemical structure that satisfies it.

   Jupyter Notebook

4. a complete workflow for simulating dislocation formation and movement in an FCC metal under shear deformation using LAMMPS, followed by postprocessing in Python

   Python 1

5. A Python framework for molecular dynamics simulations using Langevin dynamics

   Python

6. High-Performance Deep Learning Framework for Thermodynamic Phase Identification from Molecular Dynamics Simulations

   Python