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Reduced activation ferritic martensitic (RAFM) steels based on Fe(8\u20139)%Cr are the most promising candidates for some fusion reactor structures. Although there are indications that RAFM steel could be viable for fusion applications at temperatures up to 600\u2218C, the maximum operating temperature will be determined by the creep properties of the structural material and the breeder material compatibility with the structural material. Due to the relative paucity of available creep data on F82H steel compared to other alloys such as Grade 91 steel, micromechanical models are sought for simulating creep based on relevant deformation mechanisms. As a point of departure, this work recalibrates a model form that was previously proposed for Grade 91 steel to match creep curves for F82H steel. Due to the large number of parameters (9) and cost of the nonlinear simulations, an automated approach for tuning the parameters is pursued using a recently developed Bayesian optimization for functional output (BOFO) framework (Huang et al., 2021, \u201cBayesian optimization of functional output in inverse problems,\u201d Optim. Eng., 22, pp. 2553\u20132574). Incorporating extensions such as batch sequencing and weighted experimental load cases into BOFO, a reasonably small error between experimental and simulated creep curves at two load levels is achieved in a reasonable number of iterations. Validation with an additional creep curve provides confidence in the fitted parameters obtained from the automated calibration procedure to describe the creep behavior of F82H steel.<\/jats:p>","DOI":"10.1115\/1.4067584","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T10:41:52Z","timestamp":1736419312000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":0,"title":["Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output"],"prefix":"10.1115","volume":"25","author":[{"given":"Chaofan","family":"Huang","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/04qfrh333","id-type":"ROR","asserted-by":"publisher"}],"name":"Georgia Tech Research Institute H. Milton Stewart School of Industrial and Systems Engineering, , , \u00a0","place":["Atlanta, GA, 30332"]},{"name":"Georgia Institute of Technology H. Milton Stewart School of Industrial and Systems Engineering, , , \u00a0","place":["Atlanta, GA, 30332"]}]},{"given":"Sunday","family":"Aduloju","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01qz5mb56","id-type":"ROR","asserted-by":"publisher"}],"name":"Oak Ridge National Laboratory Fusion Energy Division, , , \u00a0","place":["Oak Ridge, TN, 37831"]},{"name":"Oak Ridge National Laboratory Fusion Energy Division, , , \u00a0","place":["Oak Ridge, TN, 37831"]}]},{"given":"John","family":"Fritz","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/020f3ap87","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Tennessee at Knoxville Department of Civiland Environmental Engineering, , , \u00a0","place":["Knoxville, TN, 37996"]},{"name":"University of Tennessee Department of Civiland Environmental Engineering, , , \u00a0","place":["Knoxville, TN, 37996"]}]},{"given":"V. Roshan","family":"Joseph","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology H. 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