In-Situ X-ray Micro-CT Imaging Reveals Damage Evolution in Fresh Cement Mortar During Hydration
The study presents a proof-of-concept methodology for characterizing the evolution of internal damage in fresh cement mortar during the hydration process using in-situ time-lapse X-ray micro-computed tomography (μXCT) imaging.
Leveraging Deep Learning for Automated Feature Extraction in Single Crystal Diamond Growth
Deep learning-based semantic segmentation models can accurately extract key features of interest, including diamond top, diamond side, and pocket holder, from in-situ images of single crystal diamond growth, enabling automated monitoring and optimization of the growth process.
Leveraging AI-Driven Defect Detection to Enhance Single Crystal Diamond Growth Modeling
Deep learning-based algorithms can accurately detect and classify defects in single crystal diamond growth, enabling improved process control and quality.
AlphaCrystal-II: A Deep Learning Approach for Accurate Crystal Structure Prediction from Material Compositions
AlphaCrystal-II, a novel deep learning model, can accurately predict the crystal structure of materials solely from their chemical compositions by exploiting the abundant inter-atomic interaction patterns found in known crystal structures.
Metafluid: A Hybrid Material Blending Liquid and Robotic Capabilities
A newly developed "metafluid" material exhibits properties that challenge the traditional boundaries between solid, liquid, and gaseous states of matter.
AlloyBERT: Predicting Alloy Properties Using Large Language Models
AlloyBERT, a transformer-based model, can accurately predict essential alloy properties like elastic modulus and yield strength using textual descriptions of alloy composition and processing, outperforming traditional shallow machine learning models.
Computational Homogenization for Aerogel-like Polydisperse Open-Porous Materials Using Neural Network-Based Surrogate Models on the Microscale
Efficiently homogenizing aerogel-like materials using neural network surrogate models on the microscale.
Material Microstructure Design Using VAE-Regression with Multimodal Prior
Kombination von VAE und Regression ermöglicht Vorwärts- und Rückwärtsinferenz für Materialmikrostrukturen.
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