cond-mat.mtrl-sci · 2026-09-17 · No. 116

Materials Science, 2026-09-17.

1 new papers in cond-mat.mtrl-sci. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents

    Izumi Takahara, Kazunori Nishio, Akira Aiba, Shigeru Kobayashi, Takao Nakajima, Taro Hitosugi, Teruyasu Mizoguchi

    cond-mat.mtrl-sci · cs.AI

    Self-driving laboratories can explore synthesis conditions autonomously, but their decision-making layer is typically a black-box optimizer, and the output is a set of optimized samples, with the measurements reduced to predefined scalar objectives and the reasons behind success left unarticulated. Here we present SynAgent, a framework in which large language model agents operate an automated experimental system and maintain an explicit,...

    arxiv.org/abs/2609.18598 · PDF

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