https://OkongOyangO.github.io/OkongOyangO.JournalClub/tags/research-workflow/Recent content in Research Workflow on Condensed Matter🍩 + AI🤖 Journal Club🎓Hugoenyzj5306@psu.edu (Yiyang Jiang)yzj5306@psu.edu (Yiyang Jiang)Mon, 06 Jul 2026 16:00:00 -0400https://OkongOyangO.github.io/OkongOyangO.JournalClub/posts/2026-07-ai-workflow-vibe-researching/Mon, 06 Jul 2026 16:00:00 -0400yzj5306@psu.edu (Yiyang Jiang)https://OkongOyangO.github.io/OkongOyangO.JournalClub/posts/2026-07-ai-workflow-vibe-researching/<table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td><strong>Presenter</strong></td> <td>Yiyang Jiang</td> </tr> <tr> <td><strong>Date</strong></td> <td>July 6, 2026</td> </tr> <tr> <td><strong>Topic</strong></td> <td>AI Workflow &amp; Vibe Researching</td> </tr> </tbody> </table> <p>The presentation argues that for modern physics research, the key question is no longer whether to use AI, but how to use it effectively. It distinguishes two major roles: NN-based AI for principles (neural-network fitting, neural quantum states, DeepH) and LLM-based AI for workflow (planning, memory, tools, APIs, MCP, agent loops).</p>