About the Journal

NOVAXIS

Aims and Scope

NOVAXIS is an international, peer-reviewed, open-access journal dedicated to frontier research in science and technology and to the emerging ideas, systems, and technologies that may shape the future. The journal provides a multidisciplinary forum for research that advances rapidly developing fields, connects traditionally separate disciplines, or establishes new scientific and technological possibilities through their convergence.

NOVAXIS focuses particularly on artificial intelligence, quantum science and engineering, future materials, and human–machine frontiers. It also welcomes research emerging at the intersections of these areas, where advances in one field enable new approaches, capabilities, or applications in another.

The journal does not require every submission to be multidisciplinary. High-quality research within a single field is also welcome when it represents a significant advance in an emerging area, introduces a genuinely new scientific or technological capability, or has clear implications for the future development of the field. Incremental studies without a clear frontier, convergence, or emerging-technology dimension are generally outside the journal's scope.

Aims

NOVAXIS aims to provide an international platform for rigorous research addressing the scientific and technological foundations of the emerging future. The journal seeks to:

• publish significant advances in emerging and rapidly evolving areas of science and technology;
• promote research at the interfaces between artificial intelligence, quantum systems, advanced materials, neurotechnology, and human–machine systems;
• support the development of new methods, architectures, experimental systems, computational frameworks, and enabling technologies;
• encourage interdisciplinary research in which the integration of different fields produces capabilities that would not arise within either field alone;
• accelerate the translation of fundamental scientific advances into experimentally validated technologies and real-world systems;
• promote reproducible and transparent research through the sharing of data, code, models, experimental protocols, and other research materials where appropriate;
• provide a forum for critical perspectives on the technical, ethical, societal, and governance implications of emerging technologies.

Scope

Artificial Intelligence and Autonomous Systems

NOVAXIS welcomes fundamental and applied research advancing the capabilities, architectures, evaluation, and scientific applications of intelligent systems.

• machine learning and deep learning;
• foundation models and large-scale generative models;
• generative artificial intelligence;
• multimodal learning and multimodal intelligence;
• agentic AI and autonomous intelligent agents;
• embodied intelligence and intelligent robotics;
• neuro-symbolic and hybrid intelligent systems;
• reinforcement learning and adaptive decision systems;
• AI for scientific discovery and automated experimentation;
• machine reasoning, planning, perception, and autonomous decision-making;
• explainable, reliable, trustworthy, and safe AI;
• distributed, federated, and collaborative intelligent systems;
• AI-enabled simulation, modelling, optimisation, and discovery;
• emerging architectures and computing paradigms for artificial intelligence.

Quantum Science, Computing and Engineering

The journal publishes theoretical, computational, experimental, and engineering research that advances quantum technologies and their integration with emerging computational and physical systems.

• quantum computing and quantum algorithms;
• quantum information science;
• quantum machine learning;
• quantum simulation;
• quantum communication and quantum networks;
• quantum sensing, imaging, and metrology;
• quantum error correction and fault-tolerant computing;
• quantum control and optimisation;
• quantum devices and coherent systems;
• photonic, superconducting, trapped-ion, neutral-atom, and other quantum computing platforms;
• hybrid quantum–classical systems;
• materials, architectures, and engineering approaches for scalable quantum technologies.

Future Materials and Computational Discovery

NOVAXIS welcomes research on emerging materials, computational materials science, and intelligent approaches to the design, discovery, characterisation, and engineering of materials with novel or programmable properties.

• metamaterials and metasurfaces;
• two-dimensional and low-dimensional materials;
• programmable and adaptive materials;
• self-healing, self-assembling, and responsive materials;
• smart and multifunctional materials;
• nanomaterials and advanced functional materials;
• materials for quantum and neuromorphic systems;
• computational materials science;
• AI-assisted materials discovery and inverse design;
• high-throughput materials screening and experimentation;
• data-driven materials modelling;
• advanced materials for computing, sensing, energy, and next-generation devices;
• sustainable design and development of emerging materials.

Human–Machine Frontiers and Neurotechnology

The journal publishes research investigating new forms of interaction, integration, collaboration, and co-evolution between humans and intelligent or computational systems.

• brain–computer and brain–machine interfaces;
• neurotechnology and neural engineering;
• neural decoding and neural signal processing;
• human augmentation and assistive technologies;
• human–AI interaction and collaboration;
• human–AI teaming and shared decision-making;
• adaptive and personalised intelligent interfaces;
• wearable and implantable intelligent systems;
• biohybrid and neuro-inspired systems;
• neuromorphic computing and brain-inspired intelligence;
• extended, augmented, and mixed-reality interfaces where they advance human–machine interaction;
• cognitive, behavioural, and human-factor dimensions of emerging intelligent technologies.

Convergent and Emerging Technologies

Research connecting two or more frontier domains is especially encouraged. NOVAXIS is interested not simply in the coexistence of disciplines, but in research demonstrating that their integration creates a new capability, method, system, or scientific understanding.

• AI-enabled quantum computing and quantum-enhanced artificial intelligence;
• AI-driven materials and molecular discovery;
• intelligent automation of scientific experimentation;
• autonomous laboratories and self-driving laboratories;
• quantum-enabled sensing and intelligent sensing systems;
• neuromorphic and unconventional computing;
• brain-inspired artificial intelligence;
• intelligent robotics integrated with advanced sensing and materials;
• digital–physical and cyber–physical intelligent systems;
• emerging computing architectures beyond conventional computing paradigms;
• convergence of computation, materials, sensing, intelligence, and biological systems;
• new technological paradigms that do not fit comfortably within established disciplinary boundaries.

Responsible Development of Emerging Technologies

NOVAXIS also welcomes technically grounded research examining the responsible development and deployment of emerging technologies. Such studies should be closely connected to specific technologies, systems, or scientific developments rather than addressing technology policy only at a general level.

• AI safety, alignment, reliability, and governance;
• responsible development of autonomous systems;
• ethical and societal implications of neurotechnology and human augmentation;
• governance of quantum and other emerging technologies;
• privacy, security, accountability, and human oversight in intelligent systems;
• risk assessment and responsible innovation for convergent technologies;
• standards, evaluation frameworks, and assurance mechanisms for emerging technological systems.

What NOVAXIS Looks For

Submissions should demonstrate rigorous scientific or engineering methodology and make a clear contribution beyond incremental improvement. Authors should explain both the immediate contribution of the work and its broader significance for an emerging research direction, technological capability, or interdisciplinary frontier.

Particular consideration is given to studies that provide strong experimental or empirical validation, reproducible computational results, meaningful comparisons with established methods, open datasets or software where appropriate, and a clear discussion of limitations and future development.

Interdisciplinary submissions should clearly explain the contribution to each field involved and demonstrate why the integration of those fields is scientifically or technologically meaningful.

Out of Scope

The following types of submissions are generally outside the scope of NOVAXIS:

• incremental applications of established methods without a clear scientific, technological, or emerging-future contribution;
• routine applications of machine learning or deep learning to standard datasets without methodological or domain-level innovation;
• minor optimisation of existing algorithms based primarily on parameter tuning;
• purely speculative discussions unsupported by technical, empirical, experimental, or formal analysis;
• single-site case studies with limited scientific generalisability;
• descriptive technology surveys that primarily summarise existing literature without substantial synthesis, critical analysis, or a new organising framework;
• general social science, management, business, or policy studies in which the emerging technology itself is not a substantive object of investigation;
• routine software implementation papers without a significant scientific or technological contribution;
• manuscripts whose principal contribution falls outside science, engineering, emerging technology, or their interdisciplinary interfaces.

Interdisciplinary Position

NOVAXIS is built around the principle that many of the most important scientific and technological advances emerge between established disciplines. Artificial intelligence is increasingly becoming a method of scientific discovery. Quantum technologies are creating new computational and sensing capabilities. Advanced materials are being designed through computation and machine intelligence. Neurotechnology is narrowing the boundary between biological and artificial systems.

NOVAXIS provides a publication venue for these developments and for emerging research areas that may not yet have a clearly defined disciplinary home. The journal seeks work that is rigorous in its foundations, ambitious in its scientific or technological contribution, and capable of helping define what comes next.