Busen in Action: Batteries & Energy Storage

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:

• Use natural language to command Bunsen to automatically build complex electrolyte formulations, equilibrate with molecular dynamics simulations and calculate properties

• Prompt Bunsen to screen electrolyte formulations for key properties—including density, viscosity and ionic conductivity

• Perform multi-property optimization and selection of additive candidates for improved performance