Accelerating materials innovation with Bunsen, your agentic co-scientist for physics & AI

Materials R&D is often slowed not by a lack of ideas, but by the effort required to turn a scientific objective into a rigorous, executable workflow – from assembling trustworthy data and selecting appropriate methods to managing calculations, interpreting results, and deciding what to do next. Schrödinger’s Bunsen is an agentic co-scientist that connects these steps in a truly chemistry-native environment – grounded in 3D atomistic structures rather than text alone, and built on Schrödinger’s physics-based modeling, machine learning, and established scientific best practices.

In this webinar, practical materials development case studies will show how Bunsen moves beyond a conventional chat interface to plan and execute multi-step workflows spanning literature and data analysis, quantum mechanics and molecular dynamics simulations, machine learning, iterative candidate refinement, and the synthesis of results into clear, shareable reports. Across catalysis, semiconductor processing, organic electronics, energy storage, consumer-product formulations, and sustainable polymers, Bunsen helps teams navigate complex, multidimensional design spaces, identify data gaps and modeling risks, and prioritize the most informative candidates for further computation or experiment.

Attendees will see how agentic automation that is guided by scientific oversight can reduce manual handoffs, translate data into interpretable knowledge and sharable reports, preserve traceability, and help materials R&D teams move more efficiently from question to evidence-backed decision.