Aims and Scope

Aim

Artificial Intelligence in Molecular Physics (AIMP) is an international, peer-reviewed, open-access journal dedicated to promoting high-quality research at the intersection of artificial intelligence and molecular physics. The journal aims to provide a global platform for researchers, academicians, scientists, and industry professionals to publish innovative studies that apply intelligent computational methods to molecular and physical systems.

The journal seeks to advance scientific knowledge through the integration of artificial intelligence technologies including machine learning, deep learning, neural networks, and data-driven computational approaches with molecular physics and related scientific disciplines. It aims to encourage interdisciplinary research that improves understanding of molecular interactions, quantum systems, molecular structures, physical properties, and complex molecular processes.

The journal further seeks to strengthen collaboration among researchers in physics, chemistry, materials science, computational science, and engineering by supporting innovative methodologies that contribute to scientific development and technological advancement. Through publishing high-quality theoretical, computational, and experimental research, AIMP aims to accelerate scientific discovery and encourage the development of next-generation intelligent molecular systems.

Scope

The Artificial Intelligence in Molecular Physics (AIMP) focuses on interdisciplinary research at the intersection of artificial intelligence and physics, with particular emphasis on the application of intelligent computational methods to molecular, atomic, and physical systems. The journal provides a platform for research that uses artificial intelligence to model, simulate, analyze, and understand physical phenomena and complex physical systems.

The scope includes AI-assisted molecular dynamics, quantum simulations, computational modeling, spectroscopy and spectroscopic data analysis, particle and atomic interactions, and computational methods for investigating physical processes. Research combining artificial intelligence with established physical theories, mathematical modeling, numerical methods, and high-performance computing is particularly relevant.

The journal also welcomes research on physics-informed machine learning, explainable AI in physics, uncertainty quantification, scientific machine learning, intelligent simulation methods, and AI-assisted discovery of physical relationships and phenomena. Studies involving computational and theoretical approaches, as well as experimental research supported by artificial intelligence, are considered within the journal's scope.

AIMP accepts original research articles, theoretical and computational studies, methodological developments, review articles, and interdisciplinary contributions that advance the use of artificial intelligence in physics and deepen the understanding of molecular, atomic, and related physical systems.

Commitment to Scientific Advancement

Through the publication of innovative and impactful research, Artificial Intelligence in Molecular Physics (AIMP) remains committed to promoting scientific excellence, encouraging interdisciplinary collaboration, and supporting the advancement of intelligent technologies within molecular and physical sciences. The journal strives to provide researchers worldwide with a trusted platform for sharing discoveries that contribute to future developments in computational and molecular research.