Who We Are

NucleAI is a technology and innovation collaboration nucleus dedicated to advancing Nuclear Science & Technology through interdisciplinary exchange, open-access publication, and collaborative initiatives. Affiliated with the Group for Scientific Visualization in Materials within the IPEN/CNEN environment in Brazil, NucleAI brings together researchers, professionals, and collaborators interested in developing and sharing knowledge with scientific, technical, and societal relevance.

More than a traditional laboratory, NucleAI is conceived as a flexible forum for collaboration, publication, and innovation. It provides a space in which ideas, methods, and initiatives can be developed, discussed, reviewed, and disseminated in accessible formats.

What We Do

NucleAI develops and supports initiatives in technology and innovation with a particular focus on Nuclear Science & Technology. Its scope includes, among other areas, artificial intelligence, scientific visualization, digital transformation, data-driven methods, emerging technologies, and interdisciplinary applied research. Our work includes:

  • 1

    publishing open-access white papers, articles, and technical content

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    supporting interdisciplinary collaboration

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    connecting ideas, people, and applied innovation

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    creating a space for exploratory and emerging topics

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    helping transform knowledge into accessible public-facing outputs

Our Story

NucleAI was originated from the DTL, the Disruption Technology Lab at the Group for Scientific Visualization in Materials, GVCM, at the Materials Science and Technology Center of the Nuclear Energy Research Institute, IPEN/CNEN. Over time, at the the initiative evolved beyond its original format and matured into a broader platform dedicated to technology, innovation, and knowledge exchange in support of Nuclear Science & Technology.

Today, NucleAI represents the next stage of that trajectory. As a spin-off initiative, it builds on the exploratory and collaborative spirit of DTL while establishing a more defined identity centered on interdisciplinary technological development, and open knowledge production.

The name NucleAI derives from the word nucleus, understood in more than one sense. It refers both to the nuclear domain that grounds the initiative and to the idea of a nucleus as a forum, center, or point of convergence for people, ideas, and collaboration. In this sense, NucleAI signifies both a field of application and a collaborative structure for innovation.

Mission

” NucleAI’s mission is to advance Nuclear Science & Technology by fostering collaboration, supporting innovation, and producing accessible knowledge through open-access publication and interdisciplinary initiatives.”
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Publishing & Review Model

A central focus of NucleAI is open-access publishing. The initiative aims to make ideas, reflections, and technical contributions broadly available through digital publications that are accessible, timely, and relevant.

NucleAI publications are reviewed by its Scientific Board. This review process helps ensure quality, clarity, and alignment with the initiative’s mission. These publications are board-reviewed, but they are not peer-reviewed academic journal articles.

This distinction is intentional. NucleAI is not intended to replicate the traditional journal model. Instead, it offers an open and agile publication space for curated, high-quality contributions reviewed through its own scientific governance structure.

Affiliation & Collaboration

NucleAI is affiliated with the Group for Scientific Visualization in Materials, linked to the National Nuclear Commission in Brazil. This affiliation provides institutional grounding while allowing NucleAI to evolve as its own initiative, with a distinct identity centered on AI, innovation, publishing, and collaboration.

NucleAI welcomes collaboration with researchers, professionals, students, institutions, and partners who share an interest in advancing knowledge and innovation in open and interdisciplinary ways. We believe that meaningful innovation often emerges at the boundaries between disciplines, sectors, and perspectives.