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Izumi Takahara

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#artificial intelligence Preprint Sep 2026

Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents

In a single campaign of 18 autonomous experiments using LiCoO2 (001) thin-film deposition as a testbed, SynAgent synthesized highly crystalline films and evolved an understanding of how the substrate temperature governs crystallization, discovering an abrupt threshold and a narrow optimal growth window at 650-690 {\deg...

Izumi Takahara, K. Nishio, Akira Aiba et al. · 1 citation
Jul 2026

Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents

The Hypothesis Evolution Protocol (HEP) is proposed, an agent harness that provides hypothesis generation, evaluation, and evolution as explicit, auditable operations and marks a step toward auditable AI scientists, whose scientific reasoning can be inspected, verified, and built upon.

Izumi Takahara, Teruyasu Mizoguchi · 1 citation

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