3 citations · 4 across the 2 of their papers we have counts for
3 papers · 1 filter
El Agente Potente: High-Throughput Agentic Atomistic Simulations
Tsz Wai Ko, Jiaru Bai, Thomas Swanick +6
Foundational machine-learning interatomic potentials (MLIPs) are transforming atomistic simulations by achieving near-ab initio accuracy across large chemical spaces at a fraction…
El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
Zijian Zhang, Aiwei Yin, Amaan Baweja +4
AI for science promises to accelerate the discovery process. The advent of large language models (LLMs) and agentic workflows enables the expediting of a growing range of scientifi…
El Agente Gráfico: A Semantic Execution Runtime for Scientific Agents
Jiaru Bai, Abdulrahman Aldossary, Thomas Swanick +12
Large language models (LLMs) can plan scientific workflows and generate code, but these capabilities do not specify how scientific state is validated, transferred and recorded acro…