The researcher's work focuses on integrating advanced computational modeling techniques, such as finite element analysis and machine learning, to study complex physical systems. Their research emphasizes developing predictive models for quantum mechanics in molecular dynamics, enabling simulations that bridge theoretical insights with experimental observations. These models have applications across materials science and drug discovery, aiming to elucidate fundamental mechanisms underlying natural phenomena while enhancing technological advancements.
All Papers
No papers found for the selected criteria.
No collaborations found in the dataset.
This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.