CellMAT 2020: Scientific Program

Scientific Program

All times are based on UTC +2 resp. CEST.

Lecture

Application of Material Informatics for Tailoring Porous Ceramics: A Machine Learning Approach

Wednesday (07.10.2020)
16:20 - 16:40 Room 3

Part of:

Line-Up:


16:00	Lecture	Understanding open-cell foams as catalyst supports: Design trade-offs and CFD/NMR comparison 1	Kevin Kuhlmann
16:20	Lecture	Application of Material Informatics for Tailoring Porous Ceramics: A Machine Learning Approach 1	Md Nurul Karim
16:40	Lecture	Numerical Investigation of Emulsification of Viscoelastic Fluids through Porous Membranes 1	Apostolos Kyrloglou

Session Chair

Dr. Michaela Wilhelm
University of Bremen

Session MIMENIMA: Session 3
Belongs to:
Topic MIMENIMA: Micro-, meso- and macroporous nonmetallic Materials: Fundamentals and Applications

Characterization of porous ceramics can be performed using automated data analysis and machine learning approaches. Automated 3-Dimensional analysis of microstructure using a robust algorithm can quantify detailed geometrical properties of porous ceramics in a shorter time compared to manual techniques. Machine learning model is trained with extracted data from different porous structure, and analysis of the structural differences, to generate optimal design parameter of pores. The porous samples may be tailored based on extracted information. Therefore, the fabrication of tailored porous structures will accurately comply with the demands in dedicated applications in medicine, energy, environment, chemical, and space technology. The present work aims at developing highly automated computational and visualization tools that lead to a quantitative assessment of the morphological properties of porous materials. Special computer algorithms are developed to characterize critical morphological parameters of porous samples in detail. Various alumina-based ceramic samples were manufactured and investigated. Geometrical properties such as pore size distribution and connectivity, aspect ratios and percolation coefficients were evaluated. The algorithm developed in this work is fed by two robust analytical techniques, micro-tomography and magnetic resonance imaging. The use of the aforementioned imaging techniques allows calibrating the computer-based algorithm from micro- to cm-scale within this resolution. Accordingly, the algorithm analyzes samples with various scales and pore sizes. The exquisite outcome of this computer-based approach is consideration of hydrodynamic properties of porous ceramics, i.e., such as tortuosity and diffusion coefficients.

Speaker:

Md Nurul Karim
University of Bremen

Additional Authors:

Mojtaba Mirdrikvand
University of Bremen, Department of Chemistry.
Dr. Kamen Tushtev
Universität Bremen, Advanced Ceramics
Prof. Dr. Gabriel Zachmann
University of Bremen, Department for Computer Science.
Dr. Wolfgang Dreher
University of Bremen, Department of Chemistry.
Prof. Dr. Kurosch Rezwan
University of Bremen,MAPEX Center for Materials and Processes

Dateien

Category	Short file description	File description	File Size
Presentation	Abstract of Presentation	This is the abstract of the presentation in .docx format.	67 KB		Download