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Related Experiment Video

Updated: Feb 16, 2026

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points

Published on: March 2, 2011

From atomistic interfaces to dendritic patterns.

P K Galenko¹, D V Alexandrov²

¹Physikalisch-Astronomische Fakultät, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany peter.galenko@uni-jena.de.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|January 10, 2018

Summary

Recent advances in theoretical methods and computational algorithms enable analysis of dendritic pattern formation from the atomic scale up to macrostructure design. This integrated approach enhances understanding of interface dynamics and material properties.

Keywords:

dendrite interface multi-scale modelling

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Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Area of Science:

Materials Science
Physics
Computational Science

Background:

Dendritic pattern formation is governed by transport processes at phase interfaces, thermodynamic properties, and kinetic phenomena.
Understanding these processes requires data from the atomic scale to analyze single dendrite formation and ensemble growth.

Discussion:

Recent progress in theoretical methods and computational algorithms, utilizing powerful computer clusters, allows for detailed analysis of dendrite formation.
Integrating micro-, meso-, and macro-level analyses provides significant benefits for investigating interface dynamics, interpreting experimental data, and designing material macrostructures.

Key Insights:

The review covers a spectrum of scales, from nano- to macro-length, highlighting trends in theoretical analysis and computational modeling of dendrite pattern formation.
Key themes include atomistic modeling, flow effects on interface dynamics, transitions in growth regimes, two-phase layer formation, eutectic dendrite growth, and secondary network formation.

Outlook:

Further development of multi-scale analysis is crucial for advancing the understanding and prediction of dendritic structures.
Computational methods like boundary integral and phase-field methods, alongside experimental validation, are essential for future research in this area.