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ATHENA framework automates scientific numerical workflows

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced ATHENA, an agentic framework designed to automate complex numerical workflows in computational science. Modeled as a knowledge-driven contextual bandit process, ATHENA separates conceptual policy from numerical realization to facilitate the design, verification, and refinement of scientific pipelines. The framework has demonstrated its ability to autonomously derive analytical solutions, construct numerical solvers, diagnose issues, and orchestrate hybrid symbolic-numeric workflows, achieving accuracy comparable to or exceeding expert-authored solutions on benchmark tasks. AI

IMPACT Automates complex scientific numerical workflows, potentially accelerating research and discovery.

RANK_REASON The cluster contains an academic paper detailing a new framework for computational science. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ATHENA framework automates scientific numerical workflows

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The cluster contains an academic paper detailing a new framework for computational science. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Juan Diego Toscano, Daniel T. Chen, George Em Karniadakis ·

    ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms

    arXiv:2512.03476v3 Announce Type: replace-cross Abstract: Progress in computational science depends on complex numerical workflows that must faithfully encode physical laws, yet translating conceptual insight into reliable code remains a major bottleneck. Although large language …

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