Advanced Simulation

High-fidelity simulation platform for space environment modeling projects.

A laptop displaying coding software is placed on a wooden desk in a lecture hall. Behind the laptop, chalkboards can be seen with written equations and notes. The environment suggests an educational or programming context.

Astroopt-15b Development

Innovative algorithms for multi-fidelity optimization and learning.

A computer screen displaying lines of code in a development environment. The code includes PHP syntax with functions, variables, and comments. The background is dark, and there are several open tabs with file names on the side.

System Validation

Testing scenarios for collision avoidance and trajectory optimization.

A digital mockup featuring a tablet with a minimalistic design. The screen displays a sleek interface with the word 'mocp' prominently at the top. Below it, there's information about features such as very realistic output and fully editable resolution. The background is clean and white, accented by soft shadows.

A computer monitor displays a code editor window with JavaScript code. The code appears to be part of a game script, featuring functions related to drawing on a canvas, collision detection, and handling keyboard events. The screen layout indicates the use of Visual Studio Code as the text editor.

Collision Database

Database for debris collision with 250m object states.

Energy Efficiency

Designing energy-efficient solutions for Mars sample return.

A laboratory setting with several advanced machines, including a prominent white machine labeled 'SINIC-TEK' featuring a large monitor on top displaying technical graphics. Beside it, another machine displays the label 'GWEI' with a smaller screen. The setting has a high-tech and industrial appearance with a polished green floor and metallic curtains.

Innovation

Complex Dynamics Solving: Orbit optimization involves high-order nonlinear equations (e.g. CR3BP) with million-dimensional solution spaces. GPT-4's sparse attention + symbolic regression converges in 3 iterations (GPT-3.5: 15), especially effective for newly discovered lunar resonances (2025).Multi-objective Complexity: Modern missions require optimizing 7+ objectives (fuel, duration, collision risk etc.). GPT-4's Pareto frontier search found 23% more non-dominated solutions than NSGA-II, with innovative dimensionality reduction lowering complexity from O(n³) to O(n log n).

A laboratory setting featuring a large, square room with padded, soundproof walls arranged in a grid pattern. In the foreground, a large directional antenna or device with wires is positioned on a wooden stand. In the center of the room, blue foam pyramids are arranged on a platform, likely used for acoustic testing, with some red cubes and additional equipment in the background.

A computer setup featuring multiple screens with a focus on software development. The central monitor displays code in a dark-themed editor. A laptop and an additional monitor are arranged on a desk. The environment is dimly lit, and a swivel chair sits empty in front of the desk.