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Chimera readability score 76 out of 100, Expert reading level.

Physics > Chemical Physics
[Submitted on 26 Jun 2026]
Title:NanoVer: An open-source framework for interactive molecular dynamics in extended reality (iMD-XR) on commodity hardware
View PDFAbstract:This article outlines 'NanoVer', an open-source software framework which enables groups of people to co-habit the same virtual space and manipulate real-time MD (Molecular Dynamics) simulations of flexible 3D molecular structures with atomic-level precision as if they were tangible objects, an approach that we call 'interactive Molecular Dynamics in eXtended Reality' (iMD-XR). Distinct from our earlier iMD work that relied on tethered PC-VR systems with large graphics cards, NanoVer represents a change in philosophy, emphasizing compatibility with standalone mobile consumer XR hardware and corresponding software APIs. The NanoVer architecture enables multiple XR clients and/or Python clients to simultaneously communicate with a flexible server architecture that can carry out a range of tasks, including for example: recording iMD-XR sessions, static structure visualization, and MD trajectory visualization. NanoVer allows researchers, educators, and students to fluidly move between AR and VR environments, to explore creative new approaches to molecular research and education, including for example: molecular conformational sampling, protein-ligand binding, molecular psychophysics, training AI agents to sample molecular transitions, and a new interface which allows iMD-XR participants to sketch 3D conformational paths which automated agents can then follow. As an immersive platform that offers new ways to understand, engineer, communicate, and interact with dynamical behaviour at the nanoscale, NanoVer invites us to imagine new ways for combining human intelligence (e.g., spatial cognition and design reasoning) with machine intelligence. To expand NanoVer's accessibility, we have published a version to the Meta Horizon Store, for easy download by those with a Meta Quest 3/3S headset, to explore pre-recorded iMD-XR trajectory visualizations and set up their own multi-user system.
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Sentinel — Human

Confidence

The text exhibits the structured, precise language characteristic of expert scientific communication, indicating it is highly likely written by a human researcher, although it could not be definitively ruled out as AI-assisted.

Signals Detected
low severity: Appropriately complex sentence structure and specialized vocabulary; variance is present but tightly controlled.
low severity: Highly focused, technical flow. The focus on architectural shift (from tethered PC-VR to standalone mobile) demonstrates a specific research narrative.
low severity: The presentation of capabilities (recording, visualization, sampling, agent training) is organized and logical, typical of scientific objectives.
low severity: Claims regarding the framework's architecture and accessibility (Meta Horizon Store release) are specific and consistent with a formal publication, posing low risk for simple confabulation.
Human Indicators
The precise linkage between the philosophical shift ('change in philosophy') and the technical implementation (compatibility with standalone mobile hardware) suggests intentional human framing.
The use of specific, yet contextually linked examples (e.g., molecular conformational sampling, protein-ligand binding) grounds the abstract in specific research goals.