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Best Practices for Accessing, Viewing, and Editing James Webb Space Telescope Imagery: A Comprehensive Review
Abstract: This literature review comprehensively synthesizes the evolving best practices for the full lifecycle of James Webb Space Telescope (JWST) imagery, from initial data retrieval to final public-facing aesthetic processing. The primary research themes cover Data Access and Archival, Scientific Calibration and Processing, and Aesthetic Visualization and Presentation. The review establishes that the cornerstone of…
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A Step-by-Step Guide to Establishing Space-Based Computing Infrastructure
Setting up a data center in space, a process often referred to as Orbital Cloud Computing (OCC) or Satellite Edge Computing (OEC), is an intensely complex engineering, financial, and policy endeavor. The following guide synthesizes the critical strategic drivers, technological requirements, and necessary policy considerations identified in the analysis of this emerging field. This step-by-step…
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Accelerating Research Gap Discovery with AI: A Systematic Review of Methods, Tools, and Trends
Researchers have increasingly adopted Artificial Intelligence, using powerful techniques like topic modeling, citation network analysis, and advanced transformer models to automate the laborious process of reviewing scientific literature and discovering research trends. Summary Researchers today are confronted with an unprecedented explosion of scientific literature. This deluge of information makes traditional manual literature reviews incredibly time-consuming…
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The AI-Thermodynamics Revolution: Accelerating Scientific Discovery and Engineering a Sustainable Future
The application of Artificial Intelligence (AI), particularly Machine Learning (ML), has demonstrated remarkable success in thermodynamics, enabling the development of highly accurate and efficient models for molecular simulation, materials design, and property prediction. Pioneering work, such as the creation of High-Dimensional Neural Network Potentials (HDNNPs) by Behler and Parrinello [1] and the subsequent rise of…
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Artificial Intelligence in Fluid Dynamics: A Literature Review of Applications, Challenges, and Future Directions
Summary Decoding Fluid Dynamics: How AI is Redefining Computational Science The study of fluid dynamics (FD) is undergoing a profound transformation, moving from traditional Computational Fluid Dynamics (CFD) to a new paradigm powered by Artificial Intelligence (AI) and Machine Learning (ML). This shift is not merely an optimization of existing methods but a fundamental change…
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Circular Astronomy 