Bunsen in Action: Polymers & Formulations

Following our introduction webinar on Bunsen for materials science, we are launching a deep-dive, 3-part webinar series dedicated to Bunsen, Schrödinger’s agentic AI co-scientist. We’ll show how Bunsen is helping polymers, energy storage, and chemical reactivity teams navigate complex, multidimensional design spaces, identify data gaps and modeling risks, and prioritize the most informative candidates for further computation or experiments. By pairing domain-trained generative AI with rigorous physics-based simulation engines (quantum mechanics, molecular dynamics, and machine learning), Bunsen plans, executes, and analyzes end-to-end R&D workflows using natural language guidance.

Join us for this series featuring demonstrations where our scientists show directly how your team can leverage Bunsen for specific applications to accelerate innovation, de-risk experimental testing, and unlock high-performing candidates faster than ever before.

What you’ll see in the session:

• Direct Bunsen to generate and screen polymers and formulations for compatibility and key performance properties such as Tg

• How Bunsen autonomously orchestrates atomistic building, automated equilibration, and property predictions without manual setup

• Extract data and build formulation based ML models