AETHER-ConStan: A Mobile Autonomous Scientific Discovery Engine Combining Symbolic Computation, Simulation, and Optimization

AETHER-ConStan is a prototype autonomous scientific discovery engine designed to run on mobile devices. The system integrates symbolic computation, numerical simulation, parameter optimization, and equation discovery into a unified experimental loop capable of executing virtual scientific experiments locally on smartphones.The architecture combines five main modules: the ConStan Core for physical constants and internal parameters, the Cauchy Engine for symbolic mathematical validation, the ConStan Simulator for cosmological parameter simulations and Monte Carlo optimization, the Equation Discovery module for symbolic regression, and the AETHER Loop that orchestrates the autonomous experimentation cycle.The platform explores the feasibility of advanced scientific research tools operating directly on consumer mobile hardware. As a proof of concept, the current implementation focuses on cosmological parameter modeling, including simulations related to the Hubble constant (H₀) and uncertainty estimation using Monte Carlo methods.AETHER-ConStan aims to demonstrate that autonomous research workflows—traditionally restricted to high-performance computing environments—can be partially reproduced on mobile platforms. This approach opens possibilities for portable scientific experimentation, educational research tools, and decentralized computational science.Current limitations include simplified symbolic regression models and reliance on simulated datasets. Future work will focus on integrating real observational datasets, expanding equation discovery capabilities, and extending the framework to additional scientific domains such as particle physics and computational biology.