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Comparison and validation of stochastic microstructure characterization and reconstruction: Machine learning vs. deep learning methodologies
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 …
understanding the process-microstructure–property linkage across various length-scales. To …
A survey of physically based simulation of cuts in deformable bodies
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 …
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
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 …
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
Material internal structure (generally referred as microstructure) is known to play an
important role in controlling the properties/performance characteristics of the material. Most …
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
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 …
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 …
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
Correspondences between geometric domains (map**s) are ubiquitous in computer
graphics and engineering, both for a variety of downstream applications and as core …
graphics and engineering, both for a variety of downstream applications and as core …
Interactive modelling of volumetric musculoskeletal anatomy
We present a new approach for modelling musculoskeletal anatomy. Unlike previous
methods, we do not model individual muscle shapes as geometric primitives (polygonal …
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
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 …
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
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 …
microstructures using filter-based approaches that can devise and utilize a wide variety of …