-
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…
-
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…
-
The 9:1 Battle for Time: The Operational Framework and the Dual-Anonymous System that Selects the Universe’s Next Great Discoveries
Summary, Step-by-Step Guide to JWST Proposal Success, and Comprehensive Proposal Checklist The James Webb Space Telescope (JWST) was designed with multiple, complementary access policies—primarily the General Observer (GO) program (open competition), the Guaranteed Time Observations (GTO) (rewarding instrument developers with about 16% of the first three cycles), and Director’s Discretionary Time (DDT) (reserved for time-critical…
-
Entropic Gravity Explained: How Quantum Thermodynamics Could Replace Gravitons
Impact on Spaceflight Operations For decades, physicists have understood fundamental forces like electromagnetism and gravity as being mediated by quantum fields and virtual particles, such as photons and gravitons. At the same time, some forces in nature—like pressure in a gas—emerge not from fundamental interactions but from thermodynamic principles, driven by entropy and free energy.…
-
The Reusable Rocket Revolution: A Comprehensive Guide to the Technology, Economics, and Future of Spaceflight
For decades, the concept of a fully reusable rocket capable of airline-like operations has been the ultimate goal in spaceflight, promising to dramatically lower the cost of accessing orbit, AND with the advent of systems like the Space Shuttle and the modern success of SpaceX’s Falcon 9, the world has proven that recovering and reflying…
-
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…
-
Rayleigh-Bénard and Beyond: A Comprehensive Multiscale Review of Convection Cell Dynamics in Natural and Engineered Systems
Summary: Convection Cells – From Fundamental Physics to Global Systems This literature review provides a comprehensive, cross-disciplinary synthesis of dynamics, establishing thermal convection as a foundational mechanism governing heat and mass transport across scientific domains—from planetary interiors to sub-millimeter engineered flows. Core Theoretical Evolution and Debate The field is fundamentally rooted in the model, defined…
-
Breaking the Memory Wall: A Structured Literature Review of Analog In-Memory Computing (AIMC) for Next-Generation AI and Deep Learning
Executive Summary: Analog In-Memory Computing (AIMC) This structured literature review establishes the crucial role of Analog In-Memory Computing (AIMC) as the leading architectural solution to overcome the fundamental von Neumann bottleneck that limits the performance and energy efficiency of modern Artificial Intelligence (AI) hardware. AIMC integrates computation directly within non-volatile memory (NVM) arrays, leveraging the…
-
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…
-
Meet The New Family of Blow-Ups Discovered By Google DeepMind
For centuries, mathematicians and physicists have used equations like the Euler and Navier-Stokes equations to describe how fluids move. A big mystery is whether these equations can predict that a smooth, well-behaved flow will suddenly develop a “singularity”—a point where things like velocity become infinite in a finite amount of time. Most previous research has…
Circular Astronomy 