Cosmic ObservatoryWhere Physics Meets Machine Learning

Exploring the frontiers of scientific machine learning, nonlinear dynamics, and space exploration. Unraveling complex systems from neural networks to celestial mechanics.

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Research Frontiers

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Scientific ML

Neural Operators, Physics-Informed Neural Networks, and deep learning for dynamical systems

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Space Systems

Spacecraft dynamics, orbital mechanics, control systems, and robotic autonomy

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Robotics

Autonomous systems, control theory, and mechatronics for extreme environments

Recent Articles

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Introduction to Neural Networks for Dynamic Systems

March 15, 2025

An exploration of how neural networks can model and predict complex dynamical systems in engineering applications.

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Computational Fluid Dynamics: A Visual Approach

March 1, 2025

Visualizing fluid dynamics problems using modern web technologies and scientific computing principles.

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