I am a researcher with a keen interest in investigating the irradiation effects and the co-evolution of microstructure and properties in materials exposed to extreme conditions.
In the realm of simulation and modeling, I have a strong background in:
I have extensive experience working with MOOSE, MARMOT, and BISON, which are powerful computational tools for solving multiphysics problems and conducting simulations across various domains. My expertise in these tools extends to areas such as nuclear engineering and materials science.
My work involves harnessing SRIM to simulate the behavior of ions in materials. This tool is invaluable for applications like ion implantation and radiation damage studies.
I have hands-on experience with LAMMPS, a versatile molecular dynamics simulator. I utilize LAMMPS for modeling and simulating complex molecular interactions and materials.
In the realm of data analysis and visualization, I excel with:
I leverage MATLAB for data analysis and numerical simulations. This powerful tool enables me to extract valuable insights from experimental data and model real-world phenomena.
I am proficient in several programming languages, including:
Python is my preferred language for a wide range of tasks, including data analysis, scripting, scientific computing, and machine learning. I make use of libraries such as Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Keras, and Scikit-Learn to process, analyze, visualize data, and build machine learning models effectively.
My experience with C++ empowers me to develop high-performance simulations and applications, particularly when dealing with computationally intensive tasks.
I use SQL for managing and querying databases, making data retrieval and analysis a seamless process.
I am enthusiastic about collaborating with fellow researchers, exchanging ideas, and contributing to the advancement of materials science. Feel free to reach out through the following channels:
- LinkedIn: My LinkedIn Profile
Explore my research and publications on Google Scholar.