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

Material Characterization with AI-Assisted Analytics
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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 Stephane Sloots|2026-04-18T10:27:57+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

Best Practices for Moisture Content Analysis in Powders
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Best Practices for Moisture Content Analysis in Powders

Moisture Sensitivity, Top Tips

Best Practices for Moisture Content Analysis in Powders

Moisture content analysis in powders is a critical aspect [...]

By Stephane Sloots|2025-07-09T11:16:21+01:004 August 2024|Categories: Moisture Sensitivity, Top Tips|Tags: analytical methods, equipment calibration, gravimetric analysis, hygroscopic powders, Karl Fischer titration, laboratory practices, loss on drying, moisture content analysis, near-infrared spectroscopy, powder analysis, product stability, quality assurance, Quality Control, sample preparation, standard operating procedures|0 Comments