A transformative new wave of AI innovation is reshaping how we solve complex physical challenges. AI simulation using Large Quantitative Models (LQMs) enables researchers to model intricate real-world systems at the molecular and atomic levels, creating digital twins that can simulate chemical reactions and material properties with unprecedented precision.

We would like to collaborate with engineers to conduct our simulations. This will involve several different steps:

• Familiarizing themselves with our research project and objectives.
• Familiarizing themselves with our LQMs simulation and modelling.
• Running simulations and comparing results to experimental data.
• Tuning simulation parameters to better match experimental conditions.
• Reporting the results of simulations.

Bonus steps in the process would also include:

• Researching other simulations and models to compare our simulation against.

By the end of the project, engineers should demonstrate:

• New approaches to predict structure and properties of polymers and advanced soft materials using LQMs and data analytics
• Comparison of simulation results to real-life experiments
• Tuning of parameters to replicate real-life conditions
• Presentation of simulation results

Bonus steps would include:

• Comparing our simulation to similar models in the literature

Final deliverables should include

• A final report.
• A presentation.