Derives a Bogoliubov sum rule fixing the T=0 Knight shift in noncentrosymmetric superconductors to a Fermi-surface projector of the spin-locking vector, producing a Knight-shift ellipsoid that classifies pairing classes and interprets NMR data.
Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
4 Pith papers cite this work. Polarity classification is still indexing.
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abstract
The rapid integration of Large Language Models (LLMs) into scientific writing fundamentally challenges traditional definitions of authorship, responsibility, and scientific integrity. As researchers transition from using computers as deterministic tools to managing them as ``virtual collaborators,'' the nature of human contribution must be re-evaluated. Using the drafting process of a recent computational physics manuscript as a case study, this essay explores the indispensable role of the Human-in-the-Loop (HITL). We demonstrate that while AI excels at structural organization and syntax generation, the human author bears the ultimate responsibility for enforcing rigorous physical logic, maintaining academic diplomacy, and anticipating peer-review critiques. In this paradigm, the human contribution shifts from writing boilerplate text to acting as a Principal Investigator who actively mentors and steers the AI's reasoning. To ensure accountability and preserve the integrity of the scientific record in this new era, I argue that the community must mandate the publication of full, unedited AI interaction transcripts as standard supplementary material.
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2026 4roles
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A human-in-the-loop multi-stage LLM workflow with an intermediate technical specification externalizing index conventions and contraction orders enables reliable DMRG code generation that reproduces known entanglement scaling and SPT order in spin chains, succeeding in all tested cases.
Human authors must mentor AI during scientific writing to enforce physical logic and standards, with full AI interaction transcripts mandated as supplementary material.
citing papers explorer
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From Paper to Program: Accelerating Quantum Many-Body Algorithm Development via a Multi-Stage LLM-Assisted Workflow
A human-in-the-loop multi-stage LLM workflow with an intermediate technical specification externalizing index conventions and contraction orders enables reliable DMRG code generation that reproduces known entanglement scaling and SPT order in spin chains, succeeding in all tested cases.
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Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
Human authors must mentor AI during scientific writing to enforce physical logic and standards, with full AI interaction transcripts mandated as supplementary material.