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View article: Process–structure–property relation for elastoplastic behavior of polymer nanocomposites with agglomerates and interfacial gradients
Process–structure–property relation for elastoplastic behavior of polymer nanocomposites with agglomerates and interfacial gradients Open
View article: Heterogeneous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
Heterogeneous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process Open
Artificial intelligence and machine learning frameworks have become powerful tools for establishing computationally efficient mappings between inputs and outputs in engineering problems. These mappings have enabled optimization and analysi…
View article: Interpretable multi-source data fusion through Latent Variable Gaussian Process
Interpretable multi-source data fusion through Latent Variable Gaussian Process Open
View article: Understanding process-structure-property relation for elastoplastic behavior of polymer nanocomposites with agglomeration anomalies and gradient interphase percolation
Understanding process-structure-property relation for elastoplastic behavior of polymer nanocomposites with agglomeration anomalies and gradient interphase percolation Open
For polymer nanocomposites, disordered microstructural nature makes processing control and tailoring properties to desired values a challenge. Understanding process-structure-property relation can provide guidelines for process and constit…
View article: Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process Open
Artificial intelligence and machine learning frameworks have served as computationally efficient mapping between inputs and outputs for engineering problems. These mappings have enabled optimization and analysis routines that have warrante…
View article: Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process
Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process Open
With the advent of artificial intelligence and machine learning, various domains of science and engineering communities have leveraged data-driven surrogates to model complex systems through fusing numerous sources of information (data) fr…
View article: Uncertainty Quantification and Propagation for Multiscale Materials Systems with Agglomeration and Structural Anomalies
Uncertainty Quantification and Propagation for Multiscale Materials Systems with Agglomeration and Structural Anomalies Open
View article: Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design
Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design Open
Global Sensitivity Analysis (GSA) is the study of the influence of any given inputs on the outputs of a model. In the context of engineering design, GSA has been widely used to understand both individual and collective contributions of des…
View article: A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Open
Multi-fidelity (MF) methods are gaining popularity for enhancing surrogate modeling and design optimization by incorporating data from various low-fidelity (LF) models. While most existing MF methods assume a fixed dataset, adaptive sampli…
View article: Rapid design of top-performing metal-organic frameworks with qualitative representations of building blocks
Rapid design of top-performing metal-organic frameworks with qualitative representations of building blocks Open
View article: Design of Polymer Nanodielectrics for Capacitive Energy Storage
Design of Polymer Nanodielectrics for Capacitive Energy Storage Open
Polymer nanodielectrics present a particularly challenging materials design problem for capacitive energy storage applications like polymer film capacitors. High permittivity and breakdown strength are needed to achieve high energy density…
View article: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Open
Data-driven materials design often encounters challenges where systems require or possess qualitative (categorical) information. Metal-organic frameworks (MOFs) are an example of such material systems. The representation of MOFs through di…
View article: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Open
Data-driven materials design often encounters challenges where systems require or possess qualitative (categorical) information. Metal-organic frameworks (MOFs) are an example of such material systems. The representation of MOFs through di…
View article: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Open
Dataset used in the publication of Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks. The preprint is available on arXiv: https://arxiv.org/abs/2302.09184.
View article: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Open
Dataset used in the publication of Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks. The paper is published at npj Computational Materials (https://www.nature.com/articles/s41524-0…
View article: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Open
Dataset used in the publication of Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks. The paper is published at npj Computational Materials (https://www.nature.com/articles/s41524-0…