Phoenics: Bayesian optimization for efficient experiment planning
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Updated
Jul 3, 2019 - Python
Phoenics: Bayesian optimization for efficient experiment planning
Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework
Python library for adaptive experiment design with state-of-art ML tools
Supporting code for the "Autonomous retrosynthesis of gold nanoparticles via spectral shape matching" paper. DOI : 10.1039/D2DD00025C
ARES OS 2.0 is a software suite to enable laboratory automation and fully closed-loop autonomous research.
PyAres is the official Python library for ARES OS, providing support for building planners, analyzers and devices.
Control of legacy or industrial tools using natural language. Contribution to the 2025 LLM Hackathon for Applications in Materials Science & Chemistry.
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