Ramin Bostanabad

29 papers A 1Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-material Multi-physics Topology Optimization with Physics-informed Gaussian Process Priors. CoRR Xiangyu Sun, Shirin Hosseinmardi, Amin Yousefpour, Ramin Bostanabad
2025	J	`jnl`	A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion. CoRR Oriol Vendrell-Gallart, Nima Negarandeh, Zahra Zanjani Foumani, Mahsa Amiri, Lorenzo Valdevit, Ramin Bostanabad
2025	J	`jnl`	Compliance Minimization via Physics-Informed Gaussian Processes. CoRR Xiangyu Sun, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad
2025	J	`jnl`	Constrained multi-fidelity Bayesian optimization with automatic stop condition. CoRR Zahra Zanjani Foumani, Ramin Bostanabad
2025	J	`jnl`	Learning Mappings in Mesh-based Simulations. CoRR Shirin Hosseinmardi, Ramin Bostanabad
2025	J	`jnl`	Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization. CoRR Amin Yousefpour, Shirin Hosseinmardi, Xiangyu Sun, Ramin Bostanabad
2025	J	`jnl`	SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes. CoRR Nima Negarandeh, Carlos Mora, Ramin Bostanabad
2025	J	`jnl`	Should We Simultaneously Calibrate Multiple Computer Models? CoRR Jonathan Tammer Eweis-Labolle, Tyler Johnson, Xiangyu Sun, Ramin Bostanabad
2024	J	`jnl`	GP+: A Python library for kernel-based learning via Gaussian processes. Adv. Eng. Softw. Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad
2024	J	`jnl`	Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations. CoRR Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad
2024	J	`jnl`	Operator Learning with Gaussian Processes. CoRR Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin Bostanabad
2024	J	`jnl`	Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers. CoRR Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad
2024	J	`jnl`	Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes. CoRR Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, Ramin Bostanabad
2024	J	`jnl`	Unsupervised Anomaly Detection via Nonlinear Manifold Learning. J. Comput. Inf. Sci. Eng. Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad
2024	J	`jnl`	Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments. CoRR Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad
2023	A	`conf`	Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
2023	J	`jnl`	Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. CoRR Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
2023	J	`jnl`	GP+: A Python Library for Kernel-based learning via Gaussian Processes. CoRR Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad
2023	J	`jnl`	Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications. CoRR Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, Ramin Bostanabad
2023	J	`jnl`	On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization. CoRR Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad
2023	J	`jnl`	Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets. CoRR Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson, Likith Gadde, Ramin Bostanabad
2023	J	`jnl`	Unsupervised Anomaly Detection via Nonlinear Manifold Learning. CoRR Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad
2022	J	`jnl`	Concurrent Multiscale Damage Analysis with Adaptive Spatiotemporal Dimension Reduction. CoRR Shiguang Deng, Diran Apelian, Ramin Bostanabad
2022	J	`jnl`	Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models. CoRR Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad
2021	J	`jnl`	Data Fusion with Latent Map Gaussian Processes. CoRR Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad
2021	J	`jnl`	Latent Map Gaussian Processes for Mixed Variable Metamodeling. CoRR Nicholas Oune, Ramin Bostanabad
2021	J	`jnl`	Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Cast Metallic Alloys with Spatially Varying Microstructures. CoRR Shiguang Deng, Carl Soderhjelm, Diran Apelian, Ramin Bostanabad
2021	J	`jnl`	Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. CoRR Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad
2020	J	`jnl`	Reconstruction of 3D Microstructures from 2D Images via Transfer Learning. Comput. Aided Des. Ramin Bostanabad