AI/ML

Harnessing AI to Maximize America’s Bioenergy Yields: How Perennial Crops Secure Domestic Supply Chains

Type: Publication Summary

Themes: Feedstock Production, Sustainability

Keywords: AI/ML, Ecosystem Flux, Miscanthus, Perennial Bioenergy Grasses

Illinois-Led Team Selected for DOE Genesis Mission Award

Type: News

Themes: Conversion

Keywords: AI/ML, Gene Editing, Metabolic Engineering

Contrasting Carbon-Water-Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning

Type: Publication

Themes: Sustainability

Keywords: AI/ML, Carbon, Ecosystem Flux, Perennial Bioenergy Grasses, Water Use Efficiency

Artificial Intelligence Tools for Enzyme Engineering and Metabolic Engineering

Type: Publication

Themes: Conversion

Keywords: AI/ML, Metabolic Engineering, Review

A Hybrid Biophysical-Machine Learning Framework for Diurnal Surface Energy Flux Estimation in Bioenergy Agricultural Crops Using Proximal Sensing

Type: Publication

Themes: Sustainability

Keywords: AI/ML, Ecosystem Flux

Data for A Hybrid Biophysical-Machine Learning Framework for Diurnal Surface Energy Flux Estimation Using Proximal Sensing

Type: Dataset

Themes: Sustainability

Keywords: AI/ML, Ecosystem Flux

Data for h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network

Type: Dataset

Themes: Conversion

Keywords: AI/ML, Chemicals, Modeling

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network

Type: Publication

Themes: Conversion

Keywords: AI/ML

Data for PyFLANK, a Graph Neural Network Based Null Distribution Inference Model for FST Outlier Detection

Type: Dataset

Themes: Conversion, Feedstock Production

Keywords: AI/ML, Genetics, Genomics, Software

pyFLANK, a Graph Neural Network Based Null Distribution Inference Model for FST Outlier Detection

Type: Publication

Themes: Conversion, Feedstock Production

Keywords: AI/ML, Genetics, Genomics, Software

Data for Spatial Analysis of Cell Patterning to Aid Genetic and Phenotypic Understanding of Grass Stomatal Density: A Case Study in Maize

Type: Dataset

Themes: Feedstock Production

Keywords: AI/ML, Genetics, Phenotyping, Stomata, Water Use Efficiency

Spatial Analysis of Cell Patterning to Aid Genetic and Phenotypic Understanding of Grass Stomatal Density: A Case Study in Maize

Type: Publication

Themes: Feedstock Production

Keywords: AI/ML, Genetics, Phenotyping, Stomata, Water Use Efficiency

Knowledge-Guided Graph Machine Learning for Spatially Distributed Prediction of Daily Discharge and Nitrogen Export Dynamics

Type: Publication

Themes: Sustainability

Keywords: AI/ML, Modeling, Nitrogen, Water

Flow Matching Meets Biology and Life Science: A Survey

Type: Publication

Themes: Conversion

Keywords: AI/ML, Review

Enzyme Property Prediction Using Artificial Intelligence

Type: Publication

Themes: Conversion

Keywords: AI/ML, Review