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Pejman Honarmandi
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Synthesis of nanosize single-crystal hydroxyapatite via mechanochemical method
B Nasiri-Tabrizi, P Honarmandi, R Ebrahimi-Kahrizsangi, P Honarmandi
Materials Letters 63 (5), 543-546, 2009
1972009
Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling
P Honarmandi, TC Duong, SF Ghoreishi, D Allaire, R Arroyave
Acta Materialia 164, 636-647, 2019
662019
Uncertainty quantification and propagation in computational materials science and simulation-assisted materials design
P Honarmandi, R Arróyave
Integrating Materials and Manufacturing Innovation 9 (1), 103-143, 2020
622020
Revisiting thermodynamics and kinetic diffusivities of uranium–niobium with Bayesian uncertainty analysis
TC Duong, RE Hackenberg, A Landa, P Honarmandi, A Talapatra, ...
Calphad 55, 219-230, 2016
622016
Milling media effects on synthesis, morphology and structural characteristics of single crystal hydroxyapatite nanoparticles
P Honarmandi, P Honarmandi, A Shokuhfar, B Nasiri-Tabrizi, ...
Advances in Applied Ceramics 109 (2), 117-122, 2010
402010
Hot deformation behavior of Ti–6Al–4V alloy in β phase field and low strain rate
P Honarmandi, M Aghaie-Khafri
Metallography, Microstructure, and Analysis 2, 13-20, 2013
302013
Uncertainty propagation in a multiscale CALPHAD-reinforced elastochemical phase-field model
V Attari, P Honarmandi, T Duong, DJ Sauceda, D Allaire, R Arroyave
Acta Materialia 183, 452-470, 2020
292020
Experiment design frameworks for accelerated discovery of targeted materials across scales
A Talapatra, S Boluki, P Honarmandi, A Solomou, G Zhao, SF Ghoreishi, ...
Frontiers in Materials 6, 82, 2019
272019
A rigorous test and improvement of the Eagar-Tsai model for melt pool characteristics in laser powder bed fusion additive manufacturing
P Honarmandi, R Seede, L Xue, D Shoukr, P Morcos, B Zhang, C Zhang, ...
Additive Manufacturing 47, 102300, 2021
252021
Uncertainty quantification and propagation in CALPHAD modeling
P Honarmandi, NH Paulson, R Arróyave, M Stan
Modelling and Simulation in Materials Science and Engineering 27 (3), 034003, 2019
252019
Accelerated materials design using batch Bayesian optimization: A case study for solving the inverse problem from materials microstructure to process specification
P Honarmandi, V Attari, R Arroyave
Computational Materials Science 210, 111417, 2022
242022
Processing parameters and martensitic phase transformation relationships in near defect-free additively manufactured NiTiHf high temperature shape memory alloys
C Zhang, L Xue, SA Pestka, M Ranaiefar, KC Atli, P Honarmandi, ...
Materials & Design 222, 110988, 2022
162022
Using Bayesian framework to calibrate a physically based model describing strain-stress behavior of TRIP steels
P Honarmandi, R Arroyave
Computational Materials Science 129, 66-81, 2017
162017
Bayesian probabilistic prediction of precipitation behavior in Ni-Ti shape memory alloys
P Honarmandi, L Johnson, R Arroyave
Computational Materials Science 172, 109334, 2020
152020
A differential evaporation model to predict chemistry change of additively manufactured metals
M Ranaiefar, P Honarmandi, L Xue, C Zhang, A Elwany, I Karaman, ...
Materials & Design 213, 110328, 2022
142022
Uncertainty quantification of the parameters and predictions of a phenomenological constitutive model for thermally induced phase transformation in Ni–Ti shape memory alloys
P Honarmandi, A Solomou, R Arroyave, D Lagoudas
Modelling and Simulation in Materials Science and Engineering 27 (3), 034001, 2019
142019
Synthesis of nanosize singlecrystal hydroxyapatite via mechanochemical method B
N Tabrizi, P Honarmandi, ...
Mater Lett 63, 543-546, 2009
142009
Uncertainty propagation via probability measure optimized importance weights with application to parametric materials models
M Sanghvi, P Honarmandi, V Attari, T Duong, R Arroyave, DL Allaire
AIAA Scitech 2019 forum, 0967, 2019
112019
An automated fully-computational framework to construct printability maps for additively manufactured metal alloys
S Sheikh, M Ranaiefar, P Honarmandi, B Vela, P Morcos, D Shoukr, ...
arXiv preprint arXiv:2304.04113, 2023
82023
A top-down characterization of NiTi single-crystal inelastic properties within confidence bounds through Bayesian inference
P Honarmandi, MA Hossain, R Arroyave, T Baxevanis
Shape Memory and Superelasticity 7, 50-64, 2021
82021
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