In Brightest Day, In Micro-Watts: A Feasibility Framework for Wearable Multimodal Acoustic-Optical Force Fields Driven by Neural Intent
For over eight decades, comic literature has asserted that an emerald ring fueled by raw, unyielding "willpower" can instantaneously materialize tangible green locomotives, defensive shields, and oversized boxing gloves in mid-air. In terrestrial physics, however, continuous radiation pressure from light capable of arresting a falling vehicle demands several terawatts of power, instantaneously vaporizing targets while converting the wearer's metacarpals into dust via Newton's third law.In this paper, we ground the legendary Green Lantern Power Ring into known physical mechanics. We propose a finger-worn form factor combining a $20 \times 20\,\text{mm}$ piezoelectric micromachined ultrasonic transducer (PMUT) phased array ($f_0 = 170\,\text{kHz}$) interleaved with $532\,\text{nm}$ green vertical-cavity surface-emitting lasers (VCSELs). By substituting comic-book hard light with airborne Gor'kov potential wells, the array synthesizes closed acoustic "twin-traps" capable of levitating tracer particles into persistent volumetric shapes while imparting localized tactile radiation pressure onto skin. Driven by a non-invasive Brain-Computer Interface (BCI) with an end-to-end latency budget of $24.11\,\text{ms}$, this architecture provides a biologically plausible and physically bounded prototype for thought-driven free-space constructs—all without requiring an extraterrestrial lithium-ion lantern on Oa. Contents of this Record In Brightest Day, In Micro-Watts.pdf: The complete IEEE two-column journal manuscript, containing system schematics, mathematical derivations (Rayleigh-Sommerfeld integral, Gor'kov potentials, mechanical recoil limits), and sensorimotor latency budgeting. In Brightest Day, In Micro-Watts.ipynb: Companion Python simulation package containing the Rayleigh-Sommerfeld acoustic pressure solver, twin-trap phase matrix builder, and Gor'kov potential gradient mapping tools used to generate the paper's figures.
Authors
- Alexandru-Florin Boboc
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-25
- DOI
- https://doi.org/10.5281/zenodo.22967846
- Primary Topic
- Photoreceptor and optogenetics research
- Type
- preprint