9 papers
Idea Search: Guiding Tree Search with Ideas to Explore Diverse Scientific Methods
Xuefei Julie Wang, Hao Cui, Michael P. Brenner +1
Tree Search-based test-time scaling of LLMs is a powerful tool for automated scientific coding. However, pure Tree Search sometimes struggles with systematic exploration, becoming…
An AI system to help scientists write expert-level empirical software
Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici +39
The cycle of scientific discovery is frequently bottlenecked by the slow, manual creation of software to support computational experiments\cite{hannay2009how}. To address this, we…
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3
Probabilistic forecasting of infectious diseases is crucial for public health but relies on labor-intensive manual model curation by expert modeling teams. This bespoke development…
Optimized Three-Dimensional Photovoltaic Structures with LLM guided Tree Search
Michael P. Brenner, Lizzie Dorfman, John C. Platt
We present a case study for how AI coding systems can be used to generate novel scientific hypotheses. We combine a generic coding agent (Google's AntiGravity) with an LLM-driven t…
Probabilistic Seasonal Streamflow Forecasting Across California's Sierra Nevada Watersheds with Agentic AI
Ignacio Lopez-Gomez, Michael P. Brenner, Tapio Schneider
Accurate seasonal runoff forecasts are critical for managing California's reservoirs and water supply for millions of its residents. Winter snow accumulation provides a strong sour…
Expert Evaluation of LLM World Models: A High- Superconductivity Case Study
Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia +20
Large Language Models (LLMs) show great promise as a powerful tool for scientific literature exploration. However, their effectiveness in providing scientifically accurate and comp…