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 journal Artificial Intelligence in Molecular Physics (AIMP) covers a broad range of interdisciplinary research involving the application of artificial intelligence techniques to molecular and physical sciences. It serves as a platform for research focused on the development and application of intelligent computational methods for analyzing, predicting, modeling, and understanding molecular systems and their behavior.

The journal welcomes contributions related to machine learning and deep learning approaches for molecular modeling, computational chemistry, molecular simulations, and quantum molecular systems. It includes studies that utilize artificial intelligence to improve molecular dynamics, predict molecular properties, investigate atomic and molecular interactions, and optimize complex computational processes. Research integrating data-driven methodologies with traditional physical and chemical theories is strongly encouraged.

The scope further includes emerging areas such as AI-assisted spectroscopy, nanoscience, materials physics, reaction prediction, intelligent molecular design, and hybrid approaches combining classical physics with quantum-based methods. The journal also supports research on explainable artificial intelligence, uncertainty quantification, autonomous scientific discovery systems, and high-performance computing applications in molecular sciences.

In addition, the journal encourages theoretical studies, computational developments, experimental investigations, review articles, and interdisciplinary research that contribute to advancing the understanding and application of artificial intelligence in molecular physics and related scientific fields.

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.