Aims and Scope

Artificial Intelligence in Molecular Physics is a peer-reviewed research journal, which focuses on uniting two fast-growing disciplines: artificial intelligence and molecular physics. The journal was established to assist scientists who adopt intelligent and data-based approaches to gain deeper insights into the workings of various molecular systems and address the complicated scientific issues.

 

Along with the extension and complexity of scientific data, AI has emerged as an important discovery tool. The journal is intended to be a specialized source of innovative research in which the current AI methods are employed to complement the older theoretical, computational, and experimental methods in molecular physics.

 

What the Journal Covers? 

The journal accepts original research and review articles in the fields such as:

  • Applications of machine learning and deep learning in the field of molecular physics.

  • Molecular and quantum simulations with the help of AI.

  • Molecular modeling, computational and theoretical.

  • Computational chemistry of molecular properties and structure.

  • Artificial intelligence in spectroscopy, materials science and nanoscience.

  • Physics-informed and machine-learning models Hybrid physics-informed and machine-learning models.

 

Who ought to read and publish here?

This journal is intended for:

  • Molecular Physics, Chemistry and materials science researchers as well as faculties.

  • Physical systems Scientists using AI and data science.

  • Postgraduate students and fledgling researchers.

  • Researchers in the field of industry: molecular modeling and advanced materials.

 

Our Mission

The journal is committed to:

  • Relevant publication of high quality, peer-reviewed research.

  • Fostering inter-disciplinary teamwork.

  • The innovation-driven science should be supported by AI.

  • Encouraging knowledge transfer in the international research community.

Artificial Intelligence in Molecular Physics is set to be a reliable home of the scientific community that will be looking to define the future of molecular science using intelligent technologies.