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View article: Integrating Machine Learning into the Computational Calculations of Galvanic Corrosion
Integrating Machine Learning into the Computational Calculations of Galvanic Corrosion Open
View article: An active learning framework for the rapid assessment of galvanic corrosion
An active learning framework for the rapid assessment of galvanic corrosion Open
The current present in a galvanic couple can define its resistance or susceptibility to corrosion. However, as the current is dependent upon environmental, material, and geometrical parameters it is experimentally costly to measure. To red…
View article: Active learning protocols integrate corrosion experiments and simulations & accelerate predictions
Active learning protocols integrate corrosion experiments and simulations & accelerate predictions Open
View article: Demonstrating the cutting-edge capabilities of LLMs within the constraints of a secure, sand-boxed environment
Demonstrating the cutting-edge capabilities of LLMs within the constraints of a secure, sand-boxed environment Open
View article: Active Learning Framework and Probabilistic Exploration of Finite Element Method Corrosion Models
Active Learning Framework and Probabilistic Exploration of Finite Element Method Corrosion Models Open
View article: An Active Learning Framework for the Rapid Assessment of Galvanic Corrosion
An Active Learning Framework for the Rapid Assessment of Galvanic Corrosion Open
The current present in a galvanic couple can define its resistance or susceptibility to corrosion. However, as the current is dependent upon environmental, material, and geometrical parameters it is experimentally costly to measure. To red…
View article: Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society.
Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society. Open
This repository contains the Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society. Authors: David Mon…
View article: Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society.
Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society. Open
<p>This repository contains the Supplemental Data for the Journal Article Entitled Accelerating FEM-based Corrosion Predictions using Machine Learning submitted for publication to the Journal of the Electrochemical Society.</p>…
View article: Predicting Failure Using Deep Learning SAND Report
Predicting Failure Using Deep Learning SAND Report Open
Accurate prediction of ductile failure is critical to Sandia’s NW mission, but the models are computationally heavy. The costs of including high-fidelity physics and mechanics that are germane to the failure mechanisms are often too burden…
View article: Modeling the Stochastic Nature of Corrosion Reactions in Atmospheric Conditions
Modeling the Stochastic Nature of Corrosion Reactions in Atmospheric Conditions Open
View article: Understanding and Modeling the Stochastic Nature of Corrosion Reactions in Atmospheric Conditions
Understanding and Modeling the Stochastic Nature of Corrosion Reactions in Atmospheric Conditions Open
View article: Leveraging Machine Learning to Increase Computational Efficiency in Electrochemical Systems: An Application to Galvanic Corrosion
Leveraging Machine Learning to Increase Computational Efficiency in Electrochemical Systems: An Application to Galvanic Corrosion Open
View article: Data-driven Performance Prediction in Additive Manufacturing Components Using Deep Learning.
Data-driven Performance Prediction in Additive Manufacturing Components Using Deep Learning. Open
View article: Improved Positioning via Contextual Awareness.
Improved Positioning via Contextual Awareness. Open
View article: Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning.
Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning. Open
View article: Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning.
Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning. Open