Comparison and validation of stochastic microstructure characterization and reconstruction: Machine learning vs. deep learning methodologies

A Senthilnathan, V Saseendran, P Acar, N Yamamoto… - Acta Materialia, 2024 - Elsevier
In the world of computational materials science, the knowledge of microstructure is vital in
understanding the process-microstructure–property linkage across various length-scales. To …

A survey of physically based simulation of cuts in deformable bodies

J Wu, R Westermann, C Dick - Computer Graphics Forum, 2015 - Wiley Online Library
Virtual cutting of deformable bodies has been an important and active research topic in
physically based modelling and simulation for more than a decade. A particular challenge in …

Retrieval of high-dimensional visual data: current state, trends and challenges ahead

A Foncubierta-Rodríguez, H Müller… - Multimedia tools and …, 2014 - Springer
Abstract Information retrieval algorithms have changed the way we manage and use various
data sources, such as images, music or multimedia collections. First, free text information of …

Statistical construction of 3-D microstructures from 2-D exemplars collected on oblique sections

DM Turner, SR Kalidindi - Acta Materialia, 2016 - Elsevier
Material internal structure (generally referred as microstructure) is known to play an
important role in controlling the properties/performance characteristics of the material. Most …

Unlocking the potential: analyzing 3D microstructure of small-scale cement samples from space using deep learning

V Saseendran, N Yamamoto, PJ Collins, A Radlińska… - npj …, 2024 - nature.com
Due to the prohibitive cost of transporting raw materials into Space, in-situ materials along
with cement-like binders are poised to be employed for extraterrestrial construction. A …

[HTML][HTML] Synthesising 3d solid models of natural heterogeneous materials from single sample image, using encoding deep convolutional generative adversarial …

S Zirek - Systems and Soft Computing, 2023 - Elsevier
Three-dimensional solid computational representations of natural heterogeneous materials
are challenging to generate due to their high degree of randomness and varying scales of …

Volmap: a large scale benchmark for volume map**s to simple base domains

G Cherchi, M Livesu - Computer Graphics Forum, 2023 - Wiley Online Library
Correspondences between geometric domains (map**s) are ubiquitous in computer
graphics and engineering, both for a variety of downstream applications and as core …

Interactive modelling of volumetric musculoskeletal anatomy

R Abdrashitov, S Bang, DIW Levin, K Singh… - arxiv preprint arxiv …, 2021 - arxiv.org
We present a new approach for modelling musculoskeletal anatomy. Unlike previous
methods, we do not model individual muscle shapes as geometric primitives (polygonal …

Binary image classification: A genetic programming approach to the problem of limited training instances

H Al-Sahaf, M Zhang, M Johnston - Evolutionary Computation, 2016 - direct.mit.edu
In the computer vision and pattern recognition fields, image classification represents an
important yet difficult task. It is a challenge to build effective computer models to replicate the …

[HTML][HTML] A generalized and modular framework for digital generation of composite microstructures

A Cecen, B Yucel, SR Kalidindi - Journal of Composites Science, 2021 - mdpi.com
This paper presents a generalized framework for the digital generation of composite
microstructures using filter-based approaches that can devise and utilize a wide variety of …