Explore our research through interactive applications. Select a model below to test its predictive capabilities in real-time.
An ensemble machine learning approach designed to optimize microbial stress conditions for maximum bioplastic (PHB) yield.
A synthetic data-driven model for predicting and interpreting enhanced methane yields in DIET-stimulated anaerobic digestion processes.
A specialized LLM research assistant integrated with our lab's publications, designed to provide support for our experimental findings.
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These interactive tools provide a streamlined experience for quick testing. Please contact us to access the complete models, raw datasets, or for any further inquiries.