Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets
Modern data mining methods have demonstrated effectiveness in comprehending and
predicting materials properties. An essential component in the process of materials …
predicting materials properties. An essential component in the process of materials …
Advancing material simulations: Physics-Informed Neural Networks and Object-Oriented Crystal Plasticity Finite Element Methods
An innovative method for predicting the behavior of crystalline materials is presented by
integrating Physics-Informed Neural Networks (PINNs) with an object-oriented Crystal …
integrating Physics-Informed Neural Networks (PINNs) with an object-oriented Crystal …
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks
Modern data mining techniques using machine learning (ML) and deep learning (DL)
algorithms have been shown to excel in the regression-based task of materials property …
algorithms have been shown to excel in the regression-based task of materials property …
Deep Learning Methodologies for Limited Resources Scenarios in Materials Informatics
V Gupta - 2023 - search.proquest.com
Modern deep learning and data mining techniques have demonstrated their effectiveness to
comprehend and help solve real-life problems associated with various research fields …
comprehend and help solve real-life problems associated with various research fields …