4 papers
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
Tyler H. Chang, Jakob R. Elias, Stefan M. Wild +2
In order to deploy machine learning in a real-world self-driving laboratory where data acquisition is costly and there are multiple competing design criteria, systems need to be ab…
Real-Time Streaming and Event-driven Control of Scientific Experiments
Jakob R. Elias, Ryan Chard, Maksim Levental +3
Advancements in scientific instrument sensors and connected devices provide unprecedented insight into ongoing experiments and present new opportunities for control, optimization,…
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
Maksim Levental, Ryan Chard, Joseph A. Libera +8
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce engineered nanoparticles for applications in catalysis, energy materials, composites, and more. FSP instrum…
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT
Jakob R. Elias, Ryan Chard, Joseph A. Libera +2
IoT devices and sensor networks present new opportunities for measuring, monitoring, and guiding scientific experiments. Sensors, cameras, and instruments can be combined to provid…