A planner-executor multi-agent system using gpt-oss-120b and Parsl orchestrates scalable high-throughput MOF screening on the Aurora supercomputer with low overhead.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
StructBioReasoner is a scalable multi-agent system that designs IDP-targeting biologics, with over 50% of 787 candidates for Der f 21 showing better binding free energy than human-designed references.
citing papers explorer
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Multi-Agent Orchestration for High-Throughput Materials Screening on a Leadership-Class System
A planner-executor multi-agent system using gpt-oss-120b and Parsl orchestrates scalable high-throughput MOF screening on the Aurora supercomputer with low overhead.
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SASAV: Self-Directed Agent for Scientific Analysis and Visualization
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
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Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
StructBioReasoner is a scalable multi-agent system that designs IDP-targeting biologics, with over 50% of 787 candidates for Der f 21 showing better binding free energy than human-designed references.