High-throughput ab initio calculations and machine learning to discover SrFeO3-δ-based perovskites for chemical-looping applications

Active Learning with Gaussian Processes for High Throughput Phenotyping

A looming question that must be solved before robotic plant phenotyping capabilities can have signif

Ab-initio study of some low dimensional functional oxysulfides and their optical properties.

International audience

Applications of machine learning to predict seasonal precipitation for East Africa

Seasonal climate forecasts are commonly based on model runs from fully coupled forecasting systems t

Machine Learning for detecting Microbial and chemical Contaminants in sachet Water

This study addresses the critical challenge of detecting microbial and chemical contaminants in sach

End to End High-Throughput Phenotyping of Sorghum Grain Weight Based on Computer Vision

Accurate estimation of sorghum (Sorghum bicolor [L.] Moench) grain yield remains a major bottleneck

A High-Throughput Screen for Tuberculosis Progression