A verified open-access AI-based chemical microparticle image database for in-situ particle visualization and quantification in multi-phase flow

Potential of Deep Learning Methods for Deep Level Particle Characterization in Crystallization

(2022) Janine Lins et al.   Applied Sciences-Basel

Application of PAT-Based Feedback Control Approaches in Pharmaceutical Crystallization

(2021) Ye Gao et al.   Crystals

Deep learning-based oriented object detection for in situ image monitoring and analysis: A process analytical technology (PAT) application for taurine crystallization

(2021) Yuanyi Wu et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Revealing the effects of microwell sizes on the crystal growth kinetics of active pharmaceutical ingredients by deep learning

(2021) Jinxu He et al.   CHEMICAL ENGINEERING JOURNAL

Precise and fast microdroplet size distribution measurement using deep learning

(2021) Shuyuan Zhang et al.   CHEMICAL ENGINEERING SCIENCE

Solid-liquid phase equilibrium of N, N'-diphenyl thiourea (DPTU) in twelve pure solvents: Solubility determination, correlation, molecular simulation and thermodynamic analysis

(2021) Jian Liu et al.   JOURNAL OF CHEMICAL THERMODYNAMICS

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Particle characterization with on-line imaging and neural network image analysis

(2020) Yuanyi Wu et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Shape-independent particle classification for discrimination of single crystals and agglomerates

(2019) Stefan Heisel et al.   POWDER TECHNOLOGY

On flow regime transition in trickle bed: Development of a novel deep‐learning‐assisted image analysis method

(2019) Chao Wang et al.   AICHE JOURNAL

Image Analysis for In-line Measurement of Multidimensional Size, Shape, and Polymorphic Transformation of l-Glutamic Acid Using Deep Learning-Based Image Segmentation and Classification

(2018) Zhenguo Gao et al.   CRYSTAL GROWTH & DESIGN

Classification of crystallization outcomes using deep convolutional neural networks

(2018) Andrew E. Bruno et al.   PLoS One

The Effect of Dissolved Gases as Impurities on Crystallization

(2016) Jiting Huang et al.   CHEMICAL ENGINEERING & TECHNOLOGY

A novel thin film composite forward osmosis membrane prepared from PSf–TiO2 nanocomposite substrate for water desalination

(2013) D. Emadzadeh et al.   CHEMICAL ENGINEERING JOURNAL

Particle sizing measurements in pharmaceutical applications: Comparison of in-process methods versus off-line methods

(2013) Ana F.T. Silva et al.   EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS

Measuring multidimensional particle size distributions during crystallization

(2011) Stefan Schorsch et al.   CHEMICAL ENGINEERING SCIENCE

Study of droplet size distribution during an emulsification process using in situ video probe coupled with an automatic image analysis

(2010) Abir Khalil et al.   CHEMICAL ENGINEERING JOURNAL

In Situ Measurements of Gas Fluidized Nanoagglomerates

(2010) Jose A. Quevedo et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Measuring the particle size of a known distribution using the focused beam reflectance measurement technique

(2008) David Greaves et al.   CHEMICAL ENGINEERING SCIENCE

Estimation of particle size distributions from focused beam reflectance measurements based on an optical model

(2008) Norbert Kail et al.   CHEMICAL ENGINEERING SCIENCE