Modeling the solid electrolyte interphase: Machine learning as a game changer?
The solid electrolyte interphase (SEI) is a complex passivation layer that forms in situ on
many battery electrodes such as lithium‐intercalated graphite or lithium metal anodes. Its …
many battery electrodes such as lithium‐intercalated graphite or lithium metal anodes. Its …
Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms
In this study, a machine-learning approach based on Gaussian process regression was
developed to identify the optimized processing window for laser powder bed fusion (LPBF) …
developed to identify the optimized processing window for laser powder bed fusion (LPBF) …
Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods
D Montes de Oca Zapiain, JA Stewart… - npj Computational …, 2021 - nature.com
The phase-field method is a powerful and versatile computational approach for modeling the
evolution of microstructures and associated properties for a wide variety of physical …
evolution of microstructures and associated properties for a wide variety of physical …
Recent progress of uncertainty quantification in small-scale materials science
P Acar - Progress in Materials Science, 2021 - Elsevier
This work addresses a comprehensive review of the recent efforts for uncertainty
quantification in small-scale materials science. Experimental and computational studies for …
quantification in small-scale materials science. Experimental and computational studies for …
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks
Abstract Sensors in a Wireless Sensor Network (WSN) sense, process, and transmit
information simultaneously. They mainly find applications in agriculture monitoring …
information simultaneously. They mainly find applications in agriculture monitoring …
Quantitative representation of directional microstructures of single-crystal superalloys in cyclic crystal plasticity based on neural networks
H Weng, H Yuan - International Journal of Plasticity, 2023 - Elsevier
Nickel-based single-crystal alloys undergo microstructural degradation induced by thermal
exposure. The directional rafting of microstructures significantly affects the mechanical …
exposure. The directional rafting of microstructures significantly affects the mechanical …
A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites
Recently, the design of grid composites with superior mechanical properties has gained
significant attention as a testbed for deep neural network (DNN)-based optimization …
significant attention as a testbed for deep neural network (DNN)-based optimization …
[HTML][HTML] Feature engineering of material structure for AI-based materials knowledge systems
SR Kalidindi - Journal of Applied Physics, 2020 - pubs.aip.org
This tutorial introduces systematically the foundational concepts undergirding the recently
formulated AI (artificial intelligence)-based materials knowledge system (AI-MKS) …
formulated AI (artificial intelligence)-based materials knowledge system (AI-MKS) …
Dendrite evolution and quantitative characterization of γ′ precipitates in a powder metallurgy Ni-based superalloy by different cooling rates
The effect of cooling rate after super-solvus heat treatment on the morphological evolution of
γ′ precipitates in an advanced powder metallurgy Ni-based superalloy, FGH4113A, was …
γ′ precipitates in an advanced powder metallurgy Ni-based superalloy, FGH4113A, was …
Machine-learning-based surrogate modeling of microstructure evolution using phase-field
Phase-field-based models have become common in material science, mechanics, physics,
biology, chemistry, and engineering for the simulation of microstructure evolution. Yet, they …
biology, chemistry, and engineering for the simulation of microstructure evolution. Yet, they …