Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

Main repository for the Modular Autonomous Discovery for Science (MADSci) Framework

Codebase for controlling and managing the Acceleration Consortium (AC) Training Lab.

Python library for adaptive experiment design with state-of-art ML tools

Accelerate 2024 Workshop on Bayesian Optimization Recipes With BayBE

Materials Acceleration Platform Center at BAM

ARES OS 2.0 is a software suite to enable laboratory automation and fully closed-loop autonomous research.

Educational ARES is a version of ARES OS 2.0 modified for classroom use with a Prusa MK4S 3D printer and a USB camera. Due to the generalized camera implementation, this setup is currently limited to a Windows only implementation.

WedgedSDL is a self driving lab (SDL) platform designed to discover a formula using primary colored red, yellow, and blue, food-coloring dyes for a composite dye for any given dye color. It consists of micropython, java based server, and python server API code.