About the Journal

Experiment and Computation is an open access, interdisciplinary journal that publishes high-quality research in experimental science, computational modeling, or the combination of both. We prioritize rigor, transparency, and inclusivity in research dissemination. In addition to traditional research articles, we strongly encourage submissions of datasets, protocols, open-source software, short communications, replication studies, and well-documented negative results types of work often overlooked by conventional journals.

Our mission is to make scientific knowledge openly accessible, reproducible, and collaborative, while highlighting the full spectrum of research contributions that drive progress.

  • Aims and scope
    Experiment and Computation aims to advance interdisciplinary scholarship by providing a high-quality open access platform for research that involves experimental work, computational modeling, or their integration. The journal encourages contributions from all fields of science and engineering, especially those that explore the interplay between physical experimentation and computational analysis.
    Our scope includes not only traditional full-length research articles, but also datasets, protocols, short communications, software papers, replication studies, and negative results—types of content often undervalued in conventional journals. By promoting openness, rigor, and reproducibility, we support a more inclusive and transparent research ecosystem.
    We welcome contributions that challenge assumptions, share hard-won data, or open new avenues for interdisciplinary collaboration. Research that reflects practical relevance, social impact, or promotes sustainability and responsible innovation is particularly encouraged.
  • Most welcomed topics include:
    • Artificial Intelligence (AI), its applications and societal impacts
    • Sustainability, climate adaptation, and environmental resilience
    • Open-source hardware and software for scientific research
    • Data-driven discovery and explainable models
    • Human-technology interaction and responsible innovation
    • Low-cost experimental methods and frugal engineering
    • Interdisciplinary work at the boundary of physical and computational sciences.
  • Focus on interdisciplinary research combining experimental and computational work Emphasis on open science, reproducibility, and accessibility
  • Types of accepted articles:
    • Full research articles (experimental, computational, or hybrid)
    • Datasets and protocols
    • Open source software
    • Short communications
    • Replication studies
    • Negative results