[HTML][HTML] Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
Acquiring reliable microstructure datasets is a pivotal step toward the systematic design of
materials with the aid of integrated computational materials engineering (ICME) approaches …
materials with the aid of integrated computational materials engineering (ICME) approaches …
Inverse stochastic microstructure design
Abstract Inverse Microstructure Design problems are ubiquitous in materials science; for
example, property-driven microstructure design requires the inversion of a structure …
example, property-driven microstructure design requires the inversion of a structure …
Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques
S Lu, A Jayaraman - JACS Au, 2023 - ACS Publications
In materials research, structural characterization often requires multiple complementary
techniques to obtain a holistic morphological view of a synthesized material. Depending on …
techniques to obtain a holistic morphological view of a synthesized material. Depending on …
[HTML][HTML] Predictive microstructure image generation using denoising diffusion probabilistic models
The rapid progress in artificial intelligence (AI) based image generation led to
groundbreaking achievements, like OpenAI's DALL-E 2, showcasing state-of-the-art …
groundbreaking achievements, like OpenAI's DALL-E 2, showcasing state-of-the-art …
Design of phononic bandgap metamaterials based on Gaussian mixture beta variational autoencoder and iterative model updating
Phononic bandgap metamaterials, which consist of periodic cellular structures, are capable
of absorbing energy within a certain frequency range. Designing metamaterials that trap …
of absorbing energy within a certain frequency range. Designing metamaterials that trap …
Thermal conductivity prediction of UO2-BeO composite fuels and related decisive features discovery via convolutional neural network
Z Gong, Z Xu, J Hu, B Yan, X Ding, J Sun, P Zhang… - Acta Materialia, 2022 - Elsevier
Improved thermal conductivity (TC) in UO 2-based fuels is critically important for the security
of nuclear reactors. Optimizing the microstructure of UO 2 pellets mixed with high thermally …
of nuclear reactors. Optimizing the microstructure of UO 2 pellets mixed with high thermally …
[HTML][HTML] Machine Learning in Computer Aided Engineering
The extraordinary success of Machine Learning (ML) in many complex heuristic fields has
promoted its introduction in more analytical engineering fields, improving or substituting …
promoted its introduction in more analytical engineering fields, improving or substituting …
Solid solution induced back-stress in multi-principal element alloys: experiment and modeling
The kinematic and isotropic hardening behavior was investigated for high and medium
entropy alloys with a single-phase face-centered cubic (FCC) structure. The cross-slip …
entropy alloys with a single-phase face-centered cubic (FCC) structure. The cross-slip …
Predicting mechanical properties lower upper bound for cold-rolling strip by machine learning-based artificial intelligence
J Li, X Wang, J Zhao, Q Yang, H Qie - ISA transactions, 2024 - Elsevier
The mechanical properties serve as crucial quality indicators for cold-rolled strips. For a long
time, the mechanical properties mechanism and data-driven models can't comprehensively …
time, the mechanical properties mechanism and data-driven models can't comprehensively …
A method for the determination of individual phase properties in multiphase steels
A method is proposed to determine the accurate constitutive model of individual phase in
multiphase steel with small phase size. The nanoindentation tests with continuous stiffness …
multiphase steel with small phase size. The nanoindentation tests with continuous stiffness …