Key/Selected Recent & Incoming Publications:

This page represents some of the key publications. A complete list of publications can be found here.

R. Hossain, K. Kobayashi, S.B. Alam. “Sensor Degradation in Nuclear Reactor Pressure Vessels: The Overlooked Factor in Remaining Useful Life Prediction,” “Nature Materials Degradation,” 2024. [https://www.nature.com/articles/s41529-024-00484-4]

F. Ahmed, K. Kobayashi, S.B. Alam. “Virtual sensing with fiber optic sensor for two-phase flow pattern prediction in pulsating heat pipe-based microreactor,” in prep. to be submitted to “Progress in Nuclear Energy,” 2024

K. Kobayashi, S.B. Alam. “Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems” “Nature Scientific Reports,” Volume 14, 2024. [https://www.nature.com/articles/s41598-024-51984]

K. Kobayashi, J. Daniell, S.B. Alam. “Improved generalization with deep neural operators for engineering systems: Path towards digital twin,” “Engineering Applications of Artificial Intelligence,” Volume 131, May 2024. [https://doi.org/10.1016/j.engappai.2024.107844]

K. Kobayashi, S.B. Alam. “Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life,” “Engineering Applications of Artificial Intelligence,” Volume 129, March 2024. [https://doi.org/10.1016/j.engappai.2023.107620]

H.M. Dipu Kabir, S.B. Alam. “Transfer learning with spinally shared layers,” “Applied Soft Computing,” Volume 163, Sep 2024. [https://doi.org/10.1016/j.asoc.2024.111908]

M. Tusar, K. Kobayashi, S.B. Alam, S. Usman. “Porous media model simulates thermal hydraulics of nuclear research reactors with flat and curved plate fuel assembly,” International Communications in Heat and Mass Transfer, Volume 153, April 2024. [https://doi.org/10.1016/j.icheatmasstransfer.2024.107334]

K. Kobayashi, D. Kumar, S.B. Alam. “AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology,” “Progress in Nuclear Energy,” Volume 172, July 2024 [https://doi.org/10.1016/j.pnucene.2024.105177]

F. Ahmed, K. Kobayashi, S.B. Alam. “Enhancing thermo-hydraulic performance in dimpled channels with wavy tape inserts for heat pipe & heat exchanger design with complex energy systems,” ‘Case Studies in Thermal Engineering,” 2024. [https://doi.org/10.1016/j.csite.2024.104583]

R. Ratul, F. Ahmed, S.B. Alam, M. Karim, A. Bhuiyan. “Numerical study of turbulent flow and heat transfer in a novel design of serpentine channel coupled with D-shaped jaggedness using hybrid nanofluid,” “Alexandria Engineering Journal,” Vol 68, pp. 647–663, April 2023. [https://doi.org/10.1016/j.aej.2023.01.061]

S.B. Alam et al., “Quantitative Risk Assessment of A High Power Density Small Modular Reactor (SMR) Core Using Uncertainty And Sensitivity Analyses,” Energy, 2021. [https://doi.org/10.1016/j.energy.2021.120400]

S.B. Alam et al., “Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications,” Handbook of Smart Energy Systems, Springer Nature, 2022.
[https://doi.org/10.1007/978-3-030-72322-4_149-1]

S.B. Alam et al., “Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Accident-Tolerant Fuel,” Handbook of Smart Energy Systems, Springer Nature, 2022. [https://doi.org/10.1007/978-3-030-72322-4_191-1]

S.B. Alam et al., “Leveraging Industry 4.0 — Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System”, Handbook of Smart Energy Systems, Springer Nature, 2022. [https://doi.org/10.48550/arXiv.2210.00074]

S.B. Alam et al., “Data-Driven Multiscale Modeling and Robust Optimization of Composite Structure with Uncertainty Quantification,” Handbook of Smart Energy Systems, Springer Nature, 2022. [https://doi.org/10.1007/978-3-030-72322-4_207-1]

D. Kumar, M. Marchi, S.B. Alam; C. Kavka; Y. Koutsawa; G. Rauchs; S. Belouettar. “Multi-Criteria Decision Making Under Uncertainties in Composite Materials Selection and Design.” Composite Structures, September 2021. [https://doi.org/10.1016/j.compstruct.2021.114680]

S.B. Alam et al., “Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems,” Handbook of Smart Energy Systems, Springer Nature, 2022. [https://doi.org/10.48550/arXiv.2210.00073]

B. Almutairi, S. Jaradat, C. Goodwin, S. Usman, D. Kumar, C.S. Goodwin, S.B. Alam. “Investigation of Potential Accident Tolerant Claddings for Small Modular Reactor (SMR) Core.” Materials Today Communications, February 2021.

M. Shahjalal, S.B. Alam, et al. “A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application,” Designs, Volume 6, June 2022. [https://doi.org/10.3390/designs6040060]

B. Almutairi, S.B. Alam, C. S. Goodwin, S. Usman, and T. Akyurek. “Experimental Evaluation of the Deadtime Phenomenon for GM Detector: Deadtime Dependence on Operating Voltages.” Nature Scientific Reports, Volume 10, November 2020. [https://doi.org/10.1038/s41598-020-75310-3]

S.B. Alam et al., “Understanding Composite Accident Tolerant Fuel with SiCf/SiCm for NuScale SMR Model: Reactivity Behavior and Potential Future Direction,” ANS Transaction, 2022. [https://www.ans.org/pubs/transactions/article-51469/]

K. Kobayashi, S. Usman, C. Castano, A. Alajo, D. Kumar, S.B. Alam. “Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code,” in Book: “Springer Handbook of Smart Energy Systems,” 2022. [https://doi.org/10.1007/978-3-030-72322-4_205-1]

B. Almutairi, S.B. Alam, C. S. Goodwin, and S. Usman. “Simultaneous experimental evaluation of pulse shape and deadtime phenomenon of GM detector.” Nature Scientific Reports, Volume 11, February 2021 [https://doi.org/10.1038/s41598-021-81571-3]

R. Verma, K. Kobayashi, D. Kumar, S.B. Alam. “Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification,” in Book: “Springer Handbook of Smart Energy Systems,” 2022. [https://doi.org/10.48550/arXiv.2210.07521]

S.B. Alam et al., “Recent Advances in Uncertainty Quantification Methods for Engineering Problems,” AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI, Elsevier, 2022. [https://doi.org/10.1016/B978-0-32-391919-7.00027-5]

J. Daniell, K. Kobayashi, S. Chakraborty, A. alajo, D. Kumar, S.B. Alam. “Physics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction,” submitted: “Energy,” 2023. [https://doi.org/10.48550/arXiv.2211.13157]

K. Kobayashi, K. Paaren, S. Chakraborty, D. Kumar, S.B. Alam. “Non-Intrusive Uncertainty Quantification for U3Si2 and UO2 Fuels with SiC/SiC Cladding using BISON for Digital Twin-Enabling Technology,” submitted: “Energy,” 2023. [https://doi.org/10.48550/arXiv.2211.13687]

S.B. Alam et al., “Digital Twin for Multi-criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident-Tolerant Fuel Concepts,” in Book: “Springer Handbook of Smart Energy Systems,” 2022. [https://doi.org/10.1007/978-3-030-72322-4_160-1]

K. Kobayashi, S. Usman, C. Castano, A. Alajo, D. Kumar, S.B. Alam. “Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel,” in Book: “Springer Handbook of Smart Energy Systems,” Accepted In Press, 2022. [https://doi.org/10.1007/978-3-030-72322-4_204-1]

D. Kumar, S.B. Alam, D. Vucinic, C. Lacor. “Uncertainty Quantification and Robust Optimization in Engineering.” in Book: “Advances in Visualization and Optimisation Techniques for Multidisciplinary Research,” pp. 63-93, Springer Nature, 2020. [https://doi.org/10.1007/978-981-13-9806-3_3]

D. Kumar, S.B. Alam, J. M. Palau and C. De S. Jean. “Influence of Nuclear Data Parameters on Integral Experiment Assimilation Using Cook’s Distance.” European Physical Journal Web of Conferences, Vol 211, pp. 1–8, June 2019. [https://doi.org/10.1051/epjconf/201921107001]

D. Kumar, S.B. Alam, J. M. Palau and C. De S. Jean. “Nuclear Data Adjustment Using Bayesian Inference, Diagnostics For Model Fit And Influence of Model Parameters.” European Physical Journal Web of Conferences, Vol 239, pp. 1–4, September 2020. [https://doi.org/10.1051/epjconf/202023913003]

S.B. Alam, B. Almutairi, D. Kumar, C. S. Goodwin, and G.T. Parks. “Neutronic Investigation of Alternative & Composite Burnable Poisons for the Soluble-Boron-Free And Long Life Civil Marine Small Modular Reactor Cores.” Nature Scientific Report, Volume 9, December 2019. [https://www.nature.com/articles/s41598-019-55823-2]

S.B. Alam, B. Almutairi, D. Kumar, T. Ridwan, C. S. Goodwin, and G.T. Parks. “Lattice Benchmarking of Deterministic, Monte Carlo and Hybrid Monte Carlo Reactor Physics Codes For the Soluble-Boron-Free SMR Cores.” Nuclear Engineering and Design}, Volume 356, January 2020. [https://doi.org/10.1016/j.nucengdes.2019.110350]

S.B. Alam, B. Almutairi, D. Kumar, S.H. Hossain, S. Jaradat, K. Atkinson, C.S. Goodwin, and G.T. Parks. “Neutronic Feasibility of Soluble-Boron-Free Civil Marine SMR Core Using Mixed D2O + H2O Coolant.” Nuclear Engineering and Design, Vol 359, April 2020. [https://doi.org/10.1016/j.nucengdes.2019.110449]

S.B. Alam, R. Oliviera, C.S. Goodwin, and G.T. Parks. “Coupled Neutronic/Thermal-Hydraulic Hot Channel Analysis of High Power Density Civil Marine SMR cores.” Annals of Nuclear Energy, Vol 127, pp. 446–451, May 2019. [https://doi.org/10.1016/j.anucene.2018.12.031]

S.B. Alam, C.S. Goodwin, and G.T. Parks. “Assembly-Level Analyses of Accident-Tolerant Cladding Concepts for A Long-Life Civil Marine SMR Core Using Micro-Heterogeneous Duplex Fuel.” Progress in Nuclear Energy, Vol 111, pp. 24–41, March 2019. [https://doi.org/10.1016/j.pnucene.2018.10.011]

S.B. Alam, C.S. Goodwin, and G.T. Parks. “Parametric Neutronics Analyses of Lattice Geometry and Coolant Candidates For a Soluble-Boron-Free Civil Marine SMR core using Micro-Heterogeneous Duplex Fuel.” Annals of Nuclear Energy, Vol 129, pp. 1–12, July 2019. [https://doi.org/10.1016/j.anucene.2019.01.037]

S.B. Alam, B. Almutairi, D. Kumar, P. Karmokar, C.S. Goodwin, and G.T. Parks. “SMR core Design for Civil Nuclear Marine Propulsion Using Micro-Heterogeneous Duplex Fuel. Part I: Assembly-Level Analysis.” Nuclear Engineering and Design, Volume 347, pp. 157–175, July 2019. [https://doi.org/10.1016/j.nucengdes.2019.03.005]

S.B. Alam, T. Ridwan, B. Almutairi, D. Kumar, C.S. Goodwin, and G.T. Parks. “SMR core Design for Civil Nuclear Marine Propulsion Using Micro-Heterogeneous Duplex Fuel. Part II: Whole-Core Analysis.” Nuclear Engineering and Design, Volume 347, pp. 176–191, July 2019. [https://doi.org/10.1016/j.nucengdes.2019.03.004]

S.B. Alam, B. Almutairi, D. Kumar and C. S. Goodwin. “Uncertainty Quantification on Core Input Parameter for SFR Core Using Polynomial Chaos.” Transaction of the American Nuclear Society, Vol 120, pp. 1–12, June 2019. [http://www.ans.org/pubs/transactions/a_45508]

S.B. Alam, B. Almutairi, D. Kumar and C. S. Goodwin. “Uncertainty Quantification of SMR Core Linear Power Using Polynomial Chaos Method.” Transaction of the American Nuclear Society, Vol 120, pp. 871–874, June 2019. [http://www.ans.org/pubs/transactions/a_45507]

B. Almutairi, S.B. Alam, D. Kumar, and C. S. Goodwin. “3D SPN Transport and Diffusion Approaches for the Sodium-Cooled Fast Reactor Core Using Deterministic Method.” Transaction of the American Nuclear Society, Vol 120, pp. 883–886, June 2019. [http://www.ans.org/pubs/transactions/a_45511]