machine learning Archives - PowderTechnology info

Welcome to PowderTechnology.info - Today is : January 18, 2026

$AI-assisted material characterization: laser diffraction setup analyzes a powder stream with a camera and PSD histogram on a lab monitor.$

Material Characterization with AI-Assisted Analytics
Gallery
Material Characterization with AI-Assisted Analytics

AI, Bulk Solids Characterization, Feature Article, Microscopy, Particle size distribution, Particle Size Testing, Sustainability

Material Characterization with AI-Assisted Analytics

AI-assisted material characterization speeds testing, strengthens models, and [...]

By Helena Yuan|2025-09-19T22:07:32+01:0020 September 2025|Categories: AI, Bulk Solids Characterization, Feature Article, Microscopy, Particle size distribution, Particle Size Testing, Sustainability|Tags: additive manufacturing powders, AI assisted material characterization, Battery materials, calibration, Carbon Footprint, computer vision, convolutional neural networks, data governance, DEM calibration, digital twins, Energy Efficiency, heat pump retrofits, hyperspectral imaging, inline quality control, machine learning, MLOps, model predictive control, multimodal data fusion, near-infrared spectroscopy, NIR, NMC cathodes, particle size distribution, pharmaceutical manufacturing, powder flowability, powder segregation, process analytical technology, real time release testing, rheology, SEM imaging, sensor drift, speckle imaging, spray drying, sustainability, XRD, XRF spectroscopy|0 Comments

Tribological Powder Properties: Friction, Wear, and Lubrication
Gallery
Tribological Powder Properties: Friction, Wear, and Lubrication

Abrasion, Additives, AI, Editors pick, Feature Article, powders, Wear

Tribological Powder Properties: Friction, Wear, and Lubrication

Tribology, the study of friction, wear, and lubrication, [...]