Peer-Reviewed · Open Access · Continuous Publication

Novaxis

Science, Technology and the Emerging Future

Converging knowledge, shaping what's next — NOVAXIS publishes research at the frontier where disciplines meet: artificial intelligence, quantum systems, future materials, and the human–machine boundary.

NOVAXIS — Science, Technology and the Emerging Future
Review model
Single-blind
Independent peer review
Licence
CC BY 4.0
Authors retain copyright
Publication
Continuous
Online as ready
APC
300
Open access

Editorial Position

The future is written between disciplines

The most consequential advances of the coming decades will not respect departmental boundaries. Quantum computing meets materials science; artificial intelligence meets neuroscience; synthetic biology meets automation. NOVAXIS exists to publish work at these intersections — research that a single-discipline journal would misjudge because it belongs fully to no single field.

We ask two things of every submission: rigour by the standards of each field it touches, and a clear articulation of why the convergence matters — what becomes possible at the intersection that was not possible within either field alone.

Scope & coverage

🧠

Artificial Intelligence

Machine learning, foundation models, embodied AI, and the systems that reason, perceive, and act.

⚛️

Quantum Systems

Quantum computing, communication, sensing, and the engineering of coherent quantum devices.

🔬

Future Materials

Metamaterials, 2D materials, programmable matter, and materials discovered or designed by computation.

🤝

Human–Machine Frontiers

Brain–computer interfaces, augmentation, human-AI collaboration, and the ethics of converging technologies.

Recently published

Volume archive →
No. 003

Variational quantum embeddings for molecular property prediction at chemical accuracy

Hybrid quantum-classical pipeline reaches chemical accuracy on three benchmark sets using 40-qubit hardware; full circuit specifications and error-mitigation protocol included.

11 Aug 2026
doi pending
No. 002

Self-healing elastomer networks designed by graph neural networks: from prediction to synthesis

Closed-loop materials discovery: GNN-proposed candidates synthesised and tested, with 4 of 12 predictions exceeding the state-of-the-art healing efficiency.

30 Jul 2026
doi pending
No. 001

A non-invasive BCI protocol for continuous cursor control: 30-day home-use study

EEG-based control validated outside the lab across 14 participants; complete signal-processing chain and artefact-rejection thresholds published for replication.

18 Jul 2026
doi pending

Converging Knowledge. Shaping What's Next.