This journal focuses on the application and integration of artificial intelligence (AI), machine learning (ML), and computational methods within scientific and engineering research. It explores the development of new algorithms, the analysis of their performance and limitations, and their use in solving complex problems across various scientific domains. The scope includes the study of neural networks, deep learning, physics-informed models, and the challenges of reproducibility, efficiency, and reliability in these computational approaches.
Scientific Computing and Data ManagementDistributed and Parallel Computing SystemsDiverse Scientific and Economic StudiesHuman auditory perception and evaluationParallel Computing and Optimization TechniquesEducational Robotics and EngineeringComputational Physics and Python ApplicationsAdvanced Data Storage TechnologiesBig Data and Digital EconomyFerroelectric and Negative Capacitance Devices