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Found 5 papers, 4 papers with code
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
Metal-organic frameworks (MOFs) exhibit great promise for CO2 capture.
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
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 able to intelligently sample while balancing performance trade-offs and constraints.
End-to-end AI framework for interpretable prediction of molecular and crystal properties
We introduce an end-to-end computational framework that allows for hyperparameter optimization using the DeepHyper library, accelerated model training, and interpretable AI inference.
Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet Printing Dynamics
We demonstrate that the Machine Vision module can extract high-fidelity jet features in real-time from video data using an automated parallelized computer vision workflow.
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce engineered nanoparticles for applications in catalysis, energy materials, composites, and more.
