MICA-NEX v0.1: A Substrate-Agnostic, Physically Governed Interface for Agentic Nanotechnology Research

Nanomaterials, molecular machines, scanning-probe instruments, nanoelectronics, medical nanoparticles, and externally driven microrobots operate under different governing physics. This note proposes MICA-NEX (Multiscale Interoperability and Constraint Architecture for Nano Experiments), a typed, evidence-aware interface that allows model-agnostic AI agents to plan and evaluate research without conflating independent substrate dynamics. In the design, each domain declares capability, dimensions, uncertainty, calibration, safety limits, energy requirements, authority and evidence provenance. Human-approved scientific objectives and independent deterministic safety gates mediate any future physical execution. Four falsifiable claims are preregistered as hypotheses, not established inventions. Included reference software is restricted to read-only, synthetic simulation gates; instrument interoperability, energy benefit, biological safety and clinical efficacy are not tested. Novelty and legal protection are not established. Note: This is a research proposal and has NOT been empirically validated. Drafting and synthesis were AI-assisted; the research concept is human-directed (as stated in the manuscript).