Archiving and Preservation Policy

Artificial Intelligence in Molecular Physics (AIMP) is committed to ensuring the long-term preservation, integrity, and permanent accessibility of all published scholarly content. The journal recognizes the importance of safeguarding the scientific record and maintaining uninterrupted access to research for the global scientific and academic community.

To support this commitment, the journal utilizes the PKP Preservation Network (PKP PN), a distributed digital preservation service developed by the Public Knowledge Project (PKP) for journals operating on the Open Journal Systems (OJS) platform. Through this network, all published articles and associated metadata are securely archived to ensure reliable, continuous, and long-term accessibility of the journal’s scholarly content.

The PKP Preservation Network preserves journal content across multiple independent and geographically distributed preservation nodes. This distributed archiving infrastructure protects the scholarly record against risks such as accidental data loss, cyber threats, hardware or server failures, technological obsolescence, and potential system discontinuation.

By implementing this digital preservation system, AIMP ensures the stability, durability, authenticity, and uninterrupted long-term availability of published research in artificial intelligence, molecular physics, computational science, quantum systems, intelligent simulations, and related interdisciplinary fields.

Key Features of the Archiving System

• Long-term digital preservation of all published articles and associated metadata
• Secure distributed storage across multiple independent preservation nodes
• Protection against data loss, server failures, cyber risks, and technological obsolescence
• Continuous accessibility of scholarly content even if the journal website becomes temporarily unavailable
• Preservation of the integrity, authenticity, and permanence of the scholarly record

Commitment to Scholarly Preservation

This archiving policy reflects the journal’s commitment to internationally recognized best practices in scholarly publishing, digital preservation, and open-access dissemination. By ensuring reliable long-term access to published research, Artificial Intelligence in Molecular Physics (AIMP) supports the sustainability, credibility, visibility, and global accessibility of scientific knowledge in interdisciplinary molecular and computational sciences.