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P16 / digital initiative / ongoing

NanoXR: Nanoscale Spatial Computing Initiative

An XR direction connecting nanotechnology, scientific visualization and interactive engineering communication.

2020-PresentIndependent R&D initiative
INTELLIGENT COMPUTATIONAL STACKNanoXR: Nanoscale Spatial Computing Initiative
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

01

Problem or Industrial Need

Nanoscale structures and multiphysics relationships are difficult to communicate through flat diagrams alone.

02

Engineering or Scientific Solution

NanoXR applies spatial-computing and AR/XR capability to interactive nanotechnology visualization and engineering communication.

03

Sebastian's Technical Contribution

Defined the initiative by connecting nanomaterials expertise with spatial-computing, interactive-software and educational-development experience.

04

Methods and Tools Used

  • XR/AR interaction design
  • Scientific visualization
  • Nanotechnology knowledge modelling
  • Web and spatial-computing prototyping
05

Prototype, Simulation and Experimental Evidence

prototype

XR foundation

Builds on documented Smart Realities spatial-computing and AR publication development.

06

Measurable Result or Published Finding

Cross-disciplinary R&D direction

Connects nanotechnology, computational engineering and immersive technical communication.

07

Diagrams and Publications

INTELLIGENT COMPUTATIONAL STACKNanoXR: Nanoscale Spatial Computing Initiative
01DATA SOURCEinstrument / sensor / simulation
02MODEL DESIGNfeatures / representations / data pipelines
03AI / ML / DLsupervised / unsupervised / NLP
04SCIENTIFIC CODEPython / MATLAB / CUDA / GPU
05DEPLOYembedded / full stack / digital twin / XR
06VALIDATEmetrics / experiments / real-case feedback

Engineering data moves through scientific computation, learning algorithms, validation and physical or digital deployment.

08

Role, Team Attribution, Institution and Project Context

Founder and R&D lead; named initiative within the broader Smart Realities research direction.

Connected work

P012020-2024

Portable Microwave and Passive Wireless Sensing Platform

Problem
Conventional material-health assessment can require contact, disassembly or laboratory processing that limits continuous industrial monitoring.
Solution
A portable non-contact microwave sensing architecture that links passive RF structures, instrumentation, controlled positioning and computational analysis.
Evidence / result
1 integrated portable platform
RF architectureVNAchipless resonatorsPython
View system
P082020-2024

Temperature-Dependent Nanocomposite Mechanics

Problem
CNT/polymer components can operate under changing temperature, requiring models that capture viscoelastic transitions and agglomeration effects.
Solution
Two RVE formulations and finite-element analysis validated against dynamic mechanical testing.
Evidence / result
Validated transition modelling
RVEFEADMAthermomechanical modelling
View system
P092020-2024

CNT Conductivity, Percolation and Network Models

Problem
Conductive nanocomposite design depends on predicting when random CNT networks establish electron transport and how tunnelling distance affects conductivity.
Solution
Parallel three-dimensional resistor-network and finite-element models validated against electrical measurements.
Evidence / result
around 2 wt% reported percolation threshold
MATLABresistor networkDIGIMATFEM
View system