How to Model for a Living: The CSGF as a Catalyst for Supermodels

Area of Science:

• Computational biophysical chemistry
• Multidisciplinary scientific research

Background:

• Models are essential tools for computational scientists across various disciplines.
• Computational biophysical chemists use models to study molecular recognition and interactions in biological environments.

Purpose of the Study:

• To describe how computational modeling can be used to understand the molecular world.
• To illustrate how computational modeling can engage and excite junior scientists about computational science.

Main Methods:

• Application of multiple computational models in biophysical chemistry.
• Leveraging experiences from the Department of Energy Computational Science Graduate Fellowship (DOE CSGF).

Main Results:

• Demonstration of modeling's utility in predicting molecular interactions.
• Highlighting the creative and collaborative aspects of computational science.

Conclusions:

• Computational modeling is a powerful tool for scientific discovery in biophysics.
• The DOE CSGF program encourages a multidisciplinary approach to computational science and fosters interest in the field.