Ramin Bostanabad

According to our database, Ramin Bostanabad authored at least 25 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Compliance Minimization via Physics-Informed Gaussian Processes.

Xiangyu Sun, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad

CoRR, July, 2025

Learning Mappings in Mesh-based Simulations.

Shirin Hosseinmardi, Ramin Bostanabad

CoRR, June, 2025

Should We Simultaneously Calibrate Multiple Computer Models?

Jonathan Tammer Eweis-Labolle, Tyler Johnson, Xiangyu Sun, Ramin Bostanabad

CoRR, May, 2025

A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion.

Oriol Vendrell-Gallart, Nima Negarandeh, Zahra Zanjani Foumani, Mahsa Amiri, Lorenzo Valdevit, Ramin Bostanabad

CoRR, March, 2025

Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization.

Amin Yousefpour, Shirin Hosseinmardi, Xiangyu Sun, Ramin Bostanabad

CoRR, March, 2025

SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes.

Nima Negarandeh, Carlos Mora, Ramin Bostanabad

CoRR, March, 2025

Constrained multi-fidelity Bayesian optimization with automatic stop condition.

Zahra Zanjani Foumani, Ramin Bostanabad

CoRR, March, 2025

2024

Unsupervised Anomaly Detection via Nonlinear Manifold Learning.

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad

J. Comput. Inf. Sci. Eng., 2024

Operator Learning with Gaussian Processes.

Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin Bostanabad

CoRR, 2024

Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments.

Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad

CoRR, 2024

Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes.

Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, Ramin Bostanabad

CoRR, 2024

Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers.

Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad

CoRR, 2024

Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations.

Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad

CoRR, 2024

GP+: A Python library for kernel-based learning via Gaussian processes.

Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad

Adv. Eng. Softw., 2024

2023

Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications.

Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, Ramin Bostanabad

CoRR, 2023

On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization.

Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad

CoRR, 2023

Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets.

Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson, Likith Gadde, Ramin Bostanabad

CoRR, 2023

Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers.

Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran

Proceedings of the International Conference for High Performance Computing, 2023

2022

Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models.

Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad

CoRR, 2022

Concurrent Multiscale Damage Analysis with Adaptive Spatiotemporal Dimension Reduction.

Shiguang Deng, Diran Apelian, Ramin Bostanabad

CoRR, 2022

2021

Data Fusion with Latent Map Gaussian Processes.

Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad

CoRR, 2021

Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Cast Metallic Alloys with Spatially Varying Microstructures.

Shiguang Deng, Carl Soderhjelm, Diran Apelian, Ramin Bostanabad

CoRR, 2021

Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models.

Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad

CoRR, 2021

Latent Map Gaussian Processes for Mixed Variable Metamodeling.

Nicholas Oune, Ramin Bostanabad

CoRR, 2021

2020

Reconstruction of 3D Microstructures from 2D Images via Transfer Learning.

Ramin Bostanabad

Comput. Aided Des., 2020