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Screening of electrolytes for solid-state batteries through the utilization of high-throughput DFT calculations. Handling material datasets using standard Python libraries. Development of machine learning, deep neural networks models to predict electrolytes for solid-state batteries.
Led the project on the development of quintenary high entropy alloys for biomedical applications. Develop a method for modeling chemical disordered alloys. Supervise & manage a project.
Coordination polymers can be modeled and designed for battery applications using quantum methods. Developed a force field for polymer complexes. Developed a method to build a Metal organic framework for cathode electrode.
PhD in Computational chemistry/Physics.
Master program with a fellowship focusing on advanced computational methods.