Journal and Conference Papers

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2026

  1. J30
    Computer Methods in Applied Mechanics and Engineering
    Multi-material multi-physics topology optimization with physics-informed Gaussian process priors

    Xiangyu Sun, Shirin Hosseinmardi, Amin Yousefpour, Ramin Bostanabad

    Vol. 461, Article 119163

  2. J29
    Computing in Science & Engineering
    On the Uncertainty Quantification Ability of Tabular Foundation Models

    Tyler R. Johnson, Kian Ben-Jacob, Nima Negarandeh, Oriol Vendrell-Gallart, Ramin Bostanabad

    Early access

  3. J28
    Journal of Mechanical Design
    Non-Stationary Kernel Learning in Gaussian Processes

    Nima Negarandeh, Carlos Mora, Ramin Bostanabad

    Vol. 148, No. 2, Article 021714

  4. J27
    Journal of Mechanical Design
    Cost-Aware Bayesian Optimization With Automatic Stop Condition Under Multi-Fidelity Constraints and Data

    Zahra Zanjani Foumani, Ramin Bostanabad

    Vol. 148, No. 2, Article 021711

  5. J26
    Journal of Mechanical Design
    An Experimental Study to Assess the Feasibility of Foundation Process–Property Models in Process Optimization

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

    Vol. 148, No. 2, Article 021710

  6. J25
    Journal of Mechanical Design
    Simultaneous Calibration of an Arbitrary Number of Multiresponse Computer Models

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

    Vol. 148, No. 2, Article 021705

  7. J24
    Journal of Mechanical Design
    Physics-Informed Gaussian Processes With Localized Features for Topology Optimization

    Amin Yousefpour, Shirin Hosseinmardi, Xiangyu Sun, Ramin Bostanabad

    Vol. 148, No. 2, Article 021715

2025

  1. J23
    Structural and Multidisciplinary Optimization
    Compliance minimization via physics-informed Gaussian processes

    Xiangyu Sun, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad

    Vol. 68, No. 12, Article 259

  2. J22
    Structural and Multidisciplinary Optimization
    Learning mappings in mesh-based simulations

    Shirin Hosseinmardi, Ramin Bostanabad

    Vol. 68, No. 10, Article 200

  3. J21
    Computational Mechanics
    A Gaussian process framework for solving forward and inverse problems involving nonlinear partial differential equations

    Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad

    Vol. 75, No. 4, pp. 1213–1239

  4. J20
    Materials & Design
    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

    Vol. 252, Article 113705

  5. J19
    Computer Methods in Applied Mechanics and Engineering
    Simultaneous and meshfree topology optimization with physics-informed Gaussian processes

    Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, Ramin Bostanabad

    Vol. 437, Article 117698

  6. J18
    Computer Methods in Applied Mechanics and Engineering
    Operator learning with Gaussian processes

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

    Vol. 434, Article 117581

  7. C10
    ASME IDETC-CIE
    Should We Simultaneously Calibrate Multiple Computer Models?

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

    Paper No. DETC2025-168804, 51st Design Automation Conference

  8. C9
    ASME IDETC-CIE
    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

    Paper No. DETC2025-168599, 51st Design Automation Conference

  9. C8
    ASME IDETC-CIE
    SEEK: Self-Adaptive Explainable Kernel for Nonstationary Gaussian Processes

    Nima Negarandeh, Carlos Mora, Ramin Bostanabad

    Paper No. DETC2025-169141, 51st Design Automation Conference

  10. C7
    ASME IDETC-CIE
    Localized Physics-Informed Gaussian Processes With Curriculum Training for Topology Optimization

    Amin Yousefpour, Shirin Hosseinmardi, Xiangyu Sun, Ramin Bostanabad

    Paper No. DETC2025-168723, 51st Design Automation Conference

  11. C6
    ASME IDETC-CIE
    Constrained Multi-Fidelity Bayesian Optimization With Automatic Stop Condition

    Zahra Zanjani Foumani, Ramin Bostanabad

    Paper No. DETC2025-168159, 51st Design Automation Conference

2024

  1. J17
    Advances in Engineering Software
    GP+: A Python library for kernel-based learning via Gaussian processes

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

    Vol. 195, Article 103686

  2. J16
    Journal of Computing and Information Science in Engineering
    Unsupervised Anomaly Detection via Nonlinear Manifold Learning

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

    Vol. 24, No. 11, Article 111008

  3. J15
    Journal of Mechanical Design
    Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications

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

    Vol. 146, No. 10, Article 101705

  4. J14
    Structural and Multidisciplinary Optimization
    Parametric encoding with attention and convolution mitigate spectral bias of neural partial differential equation solvers

    Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad

    Vol. 67, No. 7, Article 128

  5. J13
    Computational Mechanics
    Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity

    Shiguang Deng, Shirin Hosseinmardi, Libo Wang, Diran Apelian, Ramin Bostanabad

    Vol. 74, No. 1, pp. 191–221

  6. J12
    Journal of Mechanical Design
    Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise

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

    Vol. 146, No. 6, Article 061703

  7. C5
    ICLR Workshop
    Integrating Kernel Methods and Deep Neural Networks for Solving PDEs

    Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad

    AI4DifferentialEquations in Science, ICLR 2024

2023

  1. J11
    Computer Methods in Applied Mechanics and Engineering
    Multi-fidelity cost-aware Bayesian optimization

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

    Vol. 407, Article 115937

  2. J10
    Computer Methods in Applied Mechanics and Engineering
    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

    Vol. 415, Article 116207

  3. J9
    Computational Mechanics
    Adaptive spatiotemporal dimension reduction in concurrent multiscale damage analysis

    Shiguang Deng, Diran Apelian, Ramin Bostanabad

    Vol. 72, No. 1, pp. 3–35

  4. J8
    Journal of Mechanical Design
    Data-Driven Calibration of Multifidelity Multiscale Fracture Models Via Latent Map Gaussian Process

    Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad

    Vol. 145, No. 1, Article 011705

  5. C4
    ACM/IEEE SC
    Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers

    Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran

    Proceedings of SC ’23, pp. 1–15

  6. C3
    ASME IDETC-CIE
    Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design

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

    Paper No. DETC2023-114414, 49th Design Automation Conference

2022

  1. J7
    Computer Methods in Applied Mechanics and Engineering
    Mosaic flows: A transferable deep learning framework for solving PDEs on unseen domains

    Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad

    Vol. 389, Article 114424

  2. J6
    Journal of Mechanical Design
    Data Fusion With Latent Map Gaussian Processes

    Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad

    Vol. 144, No. 9, Article 091703

  3. J5
    Computational Mechanics
    Reduced-order multiscale modeling of plastic deformations in 3D alloys with spatially varying porosity by deflated clustering analysis

    Shiguang Deng, Carl Soderhjelm, Diran Apelian, Ramin Bostanabad

    Vol. 70, No. 3, pp. 517–548

  4. J4
    Engineering
    Data Centric Design: A New Approach to Design of Microstructural Material Systems

    Wei Chen, Akshay Iyer, Ramin Bostanabad

    Vol. 10, pp. 89–98

  5. C2
    ASME IDETC-CIE
    Data Fusion as a Latent Space Learning Problem

    Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad

    Paper No. DETC2022-90233, 48th Design Automation Conference

  6. C1
    ASME IDETC-CIE
    Multi-Fidelity Reduced-Order Models for Multiscale Damage Analyses With Automatic Calibration

    Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad

    Paper No. DETC2022-90163, 48th Design Automation Conference

2021

  1. J3
    Computer Methods in Applied Mechanics and Engineering
    Latent map Gaussian processes for mixed variable metamodeling

    Nicholas Oune, Ramin Bostanabad

    Vol. 387, Article 114128

  2. J2
    Journal of Mechanical Design
    Evolutionary Gaussian Processes

    Robert Planas, Nick Oune, Ramin Bostanabad

    Vol. 143, No. 11, Article 111703

  3. J1
    Scientific Reports
    Deep learning predicts boiling heat transfer

    Youngjoon Suh, Ramin Bostanabad, Yoonjin Won

    Vol. 11, No. 1, Article 5622