{"id":263,"date":"2021-01-16T06:47:46","date_gmt":"2021-01-16T06:47:46","guid":{"rendered":"https:\/\/sbahauddin.tech\/\/?page_id=263"},"modified":"2024-08-22T03:33:41","modified_gmt":"2024-08-22T03:33:41","slug":"publications","status":"publish","type":"page","link":"https:\/\/sbahauddin.tech\/?page_id=263","title":{"rendered":"Publications"},"content":{"rendered":"\n

Key\/Selected Recent <\/em>& Incoming <\/em>Publications<\/strong><\/strong>:<\/p>\n\n\n\n

This page represents some of the key publications. A complete list of publications can be found here<\/strong><\/a>.<\/p>\n\n\n\n

R. Hossain, K. Kobayashi, S.B. Alam<\/strong>. \u201cSensor Degradation in Nuclear Reactor Pressure Vessels: The Overlooked Factor in Remaining Useful Life Prediction,\u201d \u201cNature Materials Degradation,\u201d 2024. [https:\/\/www.nature.com\/articles\/s41529-024-00484-4<\/a>]<\/p>\n\n\n\n

F. Ahmed, K. Kobayashi, S.B. Alam<\/strong>. \u201cVirtual sensing with fiber optic sensor for two-phase flow pattern prediction in pulsating heat pipe-based microreactor,\u201d in prep. to be submitted to \u201cProgress in Nuclear Energy,\u201d 2024<\/p>\n\n\n\n

K. Kobayashi, S.B. Alam<\/strong>. \u201cDeep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems\u201d \u201cNature Scientific Reports,\u201d Volume 14, 2024. [https:\/\/www.nature.com\/articles\/s41598-024-51984<\/a>]<\/p>\n\n\n\n

K. Kobayashi, J. Daniell, S.B. Alam<\/strong>. \u201cImproved generalization with deep neural operators for engineering systems: Path towards digital twin,\u201d \u201cEngineering Applications of Artificial Intelligence,\u201d Volume 131, May 2024. [https:\/\/doi.org\/10.1016\/j.engappai.2024.107844<\/a>]<\/p>\n\n\n\n

K. Kobayashi, S.B. Alam<\/strong>. \u201cExplainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life,\u201d \u201cEngineering Applications of Artificial Intelligence,\u201d Volume 129, March 2024. [https:\/\/doi.org\/10.1016\/j.engappai.2023.107620<\/a>]<\/p>\n\n\n\n

H.M. Dipu Kabir, S.B. Alam<\/strong>. \u201cTransfer learning with spinally shared layers,\u201d \u201cApplied Soft Computing,\u201d Volume 163, Sep 2024. [https:\/\/doi.org\/10.1016\/j.asoc.2024.111908<\/a>]<\/p>\n\n\n\n

M. Tusar, K. Kobayashi, S.B. Alam<\/strong>, S. Usman. \u201cPorous media model simulates thermal hydraulics of nuclear research reactors with flat and curved plate fuel assembly,\u201d International Communications in Heat and Mass Transfer, Volume 153, April 2024. [https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2024.107334<\/a>]<\/p>\n\n\n\n

K. Kobayashi, D. Kumar, S.B. Alam<\/strong>. \u201cAI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology,\u201d \u201cProgress in Nuclear Energy,\u201d Volume 172, July 2024 [https:\/\/doi.org\/10.1016\/j.pnucene.2024.105177<\/a>]<\/p>\n\n\n\n

F. Ahmed, K. Kobayashi, S.B. Alam<\/strong>. \u201cEnhancing thermo-hydraulic performance in dimpled channels with wavy tape inserts for heat pipe & heat exchanger design with complex energy systems,\u201d \u2018Case Studies in Thermal Engineering,\u201d 2024. [https:\/\/doi.org\/10.1016\/j.csite.2024.104583<\/a>]<\/p>\n\n\n\n

R. Ratul, F. Ahmed, S.B. Alam<\/strong>, M. Karim, A. Bhuiyan. \u201cNumerical study of turbulent flow and heat transfer in a novel design of serpentine channel coupled with D-shaped jaggedness using hybrid nanofluid,\u201d \u201cAlexandria Engineering Journal,\u201d Vol 68, pp. 647\u2013663, April 2023. [https:\/\/doi.org\/10.1016\/j.aej.2023.01.061<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

D. Kumar, M. Marchi, S.B. Alam<\/strong>; C. Kavka; Y. Koutsawa; G. Rauchs; S. Belouettar. \u201cMulti-Criteria Decision Making Under Uncertainties in Composite Materials Selection and Design.\u201d Composite Structures, September 2021. [https:\/\/doi.org\/10.1016\/j.compstruct.2021.114680<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>]<\/p>\n\n\n\n

B. Almutairi, S. Jaradat, C. Goodwin, S. Usman, D. Kumar, C.S. Goodwin, S.B. Alam<\/strong>. \u201cInvestigation of Potential Accident Tolerant Claddings for Small Modular Reactor (SMR) Core.\u201d Materials Today Communications, February 2021.<\/p>\n\n\n\n

M. Shahjalal, S.B. Alam,<\/strong> et al. \u201cA Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application,\u201d Designs, Volume 6, June 2022. [https:\/\/doi.org\/10.3390\/designs6040060<\/a>]<\/p>\n\n\n\n

B. Almutairi, S.B. Alam, C. S. Goodwin, S. Usman, and T. Akyurek. \u201cExperimental Evaluation of the Deadtime Phenomenon for GM Detector: Deadtime Dependence on Operating Voltages.\u201d Nature Scientific Reports, Volume 10, November 2020. [https:\/\/doi.org\/10.1038\/s41598-020-75310-3<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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\/<\/a>]<\/p>\n\n\n\n

K. Kobayashi, S. Usman, C. Castano, A. Alajo, D. Kumar, S.B. Alam<\/strong>. “Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code,\u201d in Book: \u201cSpringer Handbook of Smart Energy Systems,\u201d 2022. [https:\/\/doi.org\/10.1007\/978-3-030-72322-4_205-1<\/a>]<\/p>\n\n\n\n

B. Almutairi, S.B. Alam<\/strong>, C. S. Goodwin, and S. Usman. \u201cSimultaneous experimental evaluation of pulse shape and deadtime phenomenon of GM detector.\u201d Nature Scientific Reports, Volume 11, February 2021 [https:\/\/doi.org\/10.1038\/s41598-021-81571-3<\/a>]<\/p>\n\n\n\n

R. Verma, K. Kobayashi, D. Kumar, S.B. Alam<\/strong>. \u201cReliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification,\u201d in Book: \u201cSpringer Handbook of Smart Energy Systems,\u201d 2022. [https:\/\/doi.org\/10.48550\/arXiv.2210.07521<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> 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<\/a>] <\/p>\n\n\n\n

J. Daniell, K. Kobayashi, S. Chakraborty, A. alajo, D. Kumar, S.B. Alam<\/strong>. \u201cPhysics-Informed Multi-Stage Deep Learning Framework Development for Digital Twin-Centred State-Based Reactor Power Prediction,\u201d submitted: \u201cEnergy,\u201d 2023. [https:\/\/doi.org\/10.48550\/arXiv.2211.13157<\/a>]<\/p>\n\n\n\n

K. Kobayashi, K. Paaren, S. Chakraborty, D. Kumar, S.B. Alam<\/strong>. \u201cNon-Intrusive Uncertainty Quantification for U3Si2 and UO2 Fuels with SiC\/SiC Cladding using BISON for Digital Twin-Enabling Technology,\u201d submitted: \u201cEnergy,\u201d 2023. [https:\/\/doi.org\/10.48550\/arXiv.2211.13687<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong> et al., “Digital Twin for Multi-criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident-Tolerant Fuel Concepts,\u201d in Book: \u201cSpringer Handbook of Smart Energy Systems,\u201d 2022. [https:\/\/doi.org\/10.1007\/978-3-030-72322-4_160-1<\/a>]<\/p>\n\n\n\n

K. Kobayashi, S. Usman, C. Castano, A. Alajo, D. Kumar, S.B. Alam<\/strong>. \u201cSurrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel,\u201d in Book: \u201cSpringer Handbook of Smart Energy Systems,\u201d Accepted In Press, 2022. [https:\/\/doi.org\/10.1007\/978-3-030-72322-4_204-1<\/a>]<\/p>\n\n\n\n

D. Kumar, S.B. Alam<\/strong>, D. Vucinic, C. Lacor. \u201cUncertainty Quantification and Robust Optimization in Engineering.\u201d in Book: \u201cAdvances in Visualization and Optimisation Techniques for Multidisciplinary Research,\u201d pp. 63-93, Springer Nature, 2020. [https:\/\/doi.org\/10.1007\/978-981-13-9806-3_3<\/a>]<\/p>\n\n\n\n

D. Kumar, S.B. Alam<\/strong>, J. M. Palau and C. De S. Jean. \u201cInfluence of Nuclear Data Parameters on Integral Experiment Assimilation Using Cook\u2019s Distance.\u201d European Physical Journal Web of Conferences, Vol 211, pp. 1\u20138, June 2019. [https:\/\/doi.org\/10.1051\/epjconf\/201921107001<\/a>]<\/p>\n\n\n\n

D. Kumar, S.B. Alam<\/strong>, 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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, <\/strong><\/em>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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, <\/strong><\/em>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<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, <\/strong><\/em>B. Almutairi, D. Kumar, S.H. Hossain, S. Jaradat, K. Atkinson, C.S. Goodwin, and G.T. Parks. \u201cNeutronic Feasibility of Soluble-Boron-Free Civil Marine SMR Core Using Mixed D2O + H2O Coolant.\u201d Nuclear Engineering and Design, Vol 359, April 2020. [https:\/\/doi.org\/10.1016\/j.nucengdes.2019.110449<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, R. Oliviera, C.S. Goodwin, and G.T. Parks. \u201cCoupled Neutronic\/Thermal-Hydraulic Hot Channel Analysis of High Power Density Civil Marine SMR cores.\u201d Annals of Nuclear Energy<\/em>, Vol 127, pp. 446\u2013451, May 2019. [https:\/\/doi.org\/10.1016\/j.anucene.2018.12.031<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, C.S. Goodwin, and G.T. Parks. \u201cAssembly-Level Analyses of Accident-Tolerant Cladding Concepts for A Long-Life Civil Marine SMR Core Using Micro-Heterogeneous Duplex Fuel.\u201d Progress in Nuclear Energy<\/em>, Vol 111, pp. 24\u201341, March 2019. [https:\/\/doi.org\/10.1016\/j.pnucene.2018.10.011<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, C.S. Goodwin, and G.T. Parks. \u201cParametric Neutronics Analyses of Lattice Geometry and Coolant Candidates For a Soluble-Boron-Free Civil Marine SMR core using Micro-Heterogeneous Duplex Fuel.\u201d Annals of Nuclear Energy<\/em>, Vol 129, pp. 1\u201312, July 2019. [https:\/\/doi.org\/10.1016\/j.anucene.2019.01.037<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, B. Almutairi, D. Kumar, P. Karmokar, C.S. Goodwin, and G.T. Parks. \u201cSMR core Design for Civil Nuclear Marine Propulsion Using Micro-Heterogeneous Duplex Fuel. Part I: Assembly-Level Analysis.<\/em>\u201d Nuclear Engineering and Design<\/em>, Volume 347, pp. 157\u2013175, July 2019. [https:\/\/doi.org\/10.1016\/j.nucengdes.2019.03.005<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, T. Ridwan, B. Almutairi, D. Kumar, C.S. Goodwin, and G.T. Parks. \u201cSMR core Design for Civil Nuclear Marine Propulsion Using Micro-Heterogeneous Duplex Fuel. Part II: Whole-Core Analysis<\/em>.\u201d Nuclear Engineering and Design<\/em>, Volume 347, pp. 176\u2013191, July 2019. [https:\/\/doi.org\/10.1016\/j.nucengdes.2019.03.004<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, B. Almutairi, D. Kumar and C. S. Goodwin. \u201cUncertainty Quantification on Core Input Parameter for SFR Core Using Polynomial Chaos.\u201d Transaction of the American Nuclear Society<\/em>, Vol 120, pp. 1\u201312, June 2019. [http:\/\/www.ans.org\/pubs\/transactions\/a_45508<\/a>]<\/p>\n\n\n\n

S.B. Alam<\/strong>, B. Almutairi, D. Kumar and C. S. Goodwin. \u201cUncertainty Quantification of SMR Core Linear Power Using Polynomial Chaos Method.\u201d Transaction of the American Nuclear Society<\/em>, Vol 120, pp. 871\u2013874, June 2019. [http:\/\/www.ans.org\/pubs\/transactions\/a_45507<\/a>]<\/p>\n\n\n\n

B. Almutairi, S.B. Alam<\/strong>, D. Kumar, and C. S. Goodwin. \u201c3D SPN Transport and Diffusion Approaches for the Sodium-Cooled Fast Reactor Core Using Deterministic Method.\u201d Transaction of the American Nuclear Society<\/em>, Vol 120, pp. 883\u2013886, June 2019. [http:\/\/www.ans.org\/pubs\/transactions\/a_45511<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"

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. \u201cSensor Degradation in Nuclear Reactor Pressure Vessels: The Overlooked Factor in Remaining Useful Life Prediction,\u201d \u201cNature Materials Degradation,\u201d 2024. [https:\/\/www.nature.com\/articles\/s41529-024-00484-4] F. Ahmed, K. Kobayashi, S.B. Alam. \u201cVirtual […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-263","page","type-page","status-publish","hentry"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/pages\/263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=263"}],"version-history":[{"count":4,"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/pages\/263\/revisions"}],"predecessor-version":[{"id":815,"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=\/wp\/v2\/pages\/263\/revisions\/815"}],"wp:attachment":[{"href":"https:\/\/sbahauddin.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}