Dr. Gorji’s expertise focuses on the theoretical, experimental, and numerical aspects of material forming under quasi-static and dynamic conditions. His area of expertise includes material characterization, failure and damage analysis, finite element modeling, and computational mechanics. Applications include sheet metal forming, impact and crashworthiness, additive manufacturing, lithium-ion batteries, and structural modeling of metallic stents as well as the polymer bioabsorbable vascular scaffolds. Dr. Gorji’s recent interest is leveraging artificial neural network modeling for industrial applications, manufacturing processes, and engineering practices.
Through his research on aluminum alloy composites at ETH Zurich—in collaboration with Daimler AG, Novelis, AutoForm, and GOM mbH—Dr. Gorji is a recognized expert in the sheet metal forming community. His research encompassed developing new experimental techniques to calibrate a fracture model that predicts crack initiation in deep drawing operations. The models were then implemented in a finite element code for industrial applications. During his Ph.D., he also made significant advancements in the study of friction phenomena that occurs during extrusion processes by designing an environmentally dependent experiment.
During a postdoctoral appointment at MIT within Professor Wierzbicki’s Impact and Crashworthiness Lab, Dr. Gorji was a member of the MIT Industrial Fracture Consortium, which is supported by the worldwide automotive and steel/aluminum industries. He was responsible for designing a new experimental technique, characterizing plasticity, and fracture prediction for many industrial applications, including weldments, cold and hot forming of steels and aluminum sheets. During his subsequent appointment as Research Scientist at MIT, Dr. Gorji demonstrated that neural networks provide a very powerful modeling framework suitable for data-driven constitutive modeling, such as capturing temperature and strain rate dependent behavior of metallic alloys and polypropylene materials. His research also highlighted the potential of machine learning algorithms to describe the elastoplastic response of lithium-ion batteries and composite structures.
Maysam B. Gorji, Mojtaba Mozaffar, Julian N. Heidenreich, Jian Cao, Dirk Mohr. On the Potential of Recurrent Neural Networks for Modeling Path Dependent Plasticity. Journal of the Mechanics and Physics of Solids, p.103972.
Wei Li, Juner Zhu, Y Xia, Maysam B. Gorji, Tomasz Wierzbicki, Data-driven safety envelope of Lithium-Ion batteries for electric vehicles. Joule 3 (11), 2703-2715, 2019.
Emeric Plancher, Ke Qu, Niels H. Vonk, Maysam B. Gorji, Thomas Tancogne-Dejean, C. Cem Tasan, Tracking Microstructure Evolution in Complex Biaxial Strain Paths: A Bulge Test Methodology for the Scanning Electron Microscope. Experimental Mechanics, pp.1-16, 2019.
Sharlotte Lorraine Bolyard Kramer, Brad L Boyce, Amanda Jones, Ahmed Mostafa, Babak Ravaji, Thomas Tancogne-Dejean, Christian C. Roth, Maysam B. Gorji, Keunhwan Pack, John T. Foster, Masoud Behzadinasab, James C. Sobotka, John M. McFarland, Jeremy Stein, Ashley D. Spear, Pania Newell, Michael W. Czabaj, Bruce W. Williams, C. Hari M. Simha, Mark Gesing, Lindsay N. Gilkey, Christopher A. Jones, Remi Dingreville, Scott E. Sanborn, John L. Bignell, Albert Cerrone, Vincent Keim, Aida Nonn, Steven Cooreman, Philippe Thibaux, Nicoli Ames, Devin T. O'Connor, Matthew D. Parno, Brett Davis, Joseph Tucker, Baptiste Coudrillier, Kyle N. Karlson, Jakob T. Ostien, James W. Foulk III, Christopher I. Hammetter, Spencer Grange, John M. Emery, Judith A. Brown, Joseph E. Bishop, Kyle L. Johnson, Kurtis R. Ford, Steffen Brinckmann, Michael K. Neilsen, Jacek Jackiewicz, K. Ravi-Chandar, Thomas A. Ivanoff, Bradley C. Salzbrenner, The third Sandia Fracture Challenge: predictions of ductile fracture in additively manufactured metal. Accepted to publish International Journal of Fracture, 2019.
Thomas Tancogne-Dejean, Maysam B. Gorji, Keunhwan Pack, Christian C. Roth. The Third Sandia Fracture Challenge: deterministic and probabilistic modeling of ductile fracture of additively-manufactured material. International Journal of Fracture, 2019:1-21.
Maysam B. Gorji, Thomas Tancogne-Dejean, Dirk Mohr. Heterogeneous Random Medium Plasticity and Fracture Model of Additively-Manufactured Ti-6Al-4V. Acta Materialia, 148, pp.442-455, 2018.
Thomas Tancogne-Dejean, Marianna Diamantopoulou, Maysam B. Gorji, Colin Bonatti, Dirk Mohr. 3D Plate Lattices: An Emerging Class of Low Density Metamaterial Exhibiting Optimal Isotropic Stiffness. Advanced Materials, p.1803334, 2018.
Pei-Jiang Wang, Farhad Rikhtegar Nezami, Maysam B. Gorji, Francesca Berti, Lorenza Petrini, Tomasz Wierzbicki, Francesco Migliavacca, Elazer R. Edelman. Effect of working environment and procedural strategies on mechanical performance of bioresorbable vascular scaffolds. Acta Biomaterialia, 2018.
Keunhwan Pack, Thomas Tancogne-Dejean, Maysam B. Gorji, Dirk Mohr. Hosford-Coulomb Ductile Failure Model for Shell Elements: Experimental Identification and Validation for DP980 Steel and Aluminum 6016-T4. International Journal of Solids and Structures, 2018.
Maysam B. Gorji, Dirk Mohr. Predicting Shear Fracture of Aluminum 6016-T4 During Deep Drawing: Combining Yld-2000 Plasticity with Hosford-Coulomb Fracture Model. International Journal of Mechanical Sciences, 137, pp.105-120, 2018.
Maysam B. Gorji, Dirk Mohr. Micro-tension and Micro-Shear experiments to characterize stress-state dependent ductile fracture. Acta Materialia, 131:65-76, 2017.
Pavel Hora, Bekim Berisha, Maysam B. Gorji, Holger Hippke. Modelling of Instability and Fracture Effects in the Sheet Metal Forming Based on an Extended X-FLC Concept. Key Engineering Materials, 725:15-32, 2017.
Maysam B. Gorji, Niko Manopulo, Pavel Hora, Frederic Barlat. Numerical investigation of the post-necking behavior of aluminum sheets in presence of geometrical and material inhomogeneities. International Journal of Solids and Structures, 102: 56-65, 2016.
Maysam Gorji, Bekim Berisha, Niko Manopulo, Pavel Hora. Effect of through Thickness Strain Distribution on Shear Fracture Hazard and its Mitigation by using Multilayer Aluminum Sheets. Journal of Materials Processing Technology, 19-33, 2016.
Maysam Gorji, Bekim Berisha, Pavel Hora, Frederic Barlat. Modeling of Localization and Fracture Phenomena in Strain and Stress Space for Sheet Metal Forming. International Journal of Material Forming, 9(5): 573-584, 2016.
Bekim Berisha, Christian Raemy, Christoph Becker, Maysam Gorji, Pavel Hora. Multiscale Modeling of Failure Initiation in a Ferritic-Pearlitic Steel. Acta Materialia, 100:191-201, 2015.
Niko Manopulo, Pavel Hora, Philip Peters, Maysam Gorji, Frederic Barlat. An Extended Modified Maximum Force Criterion for the Prediction of Localized Necking under Non-Proportional Loading. International Journal of Plasticity, 1-15, 2015.
Pavel Hora, Maysam Gorji, Bekim Berisha. Modeling of Friction Phenomena in Extrusion Processes by Using a New Torsion-Friction Test. Key Engineering Materials, 491:129-135, 2011.
Mohammad M. Aghdam, Maysam Gorji, S. Reza Falahatgar. Interface Damage of SiC/Ti Metal Matrix Composites Subjected to Combined Thermal and Axial Shear Loading. Computational Materials Science, 46, 626-631, 2009.
Mohammad M. Aghdam, S. Reza Falahatgar, Maysam Gorji. Micromechanical consideration of interface damage in fiber reinforced Ti-alloy under various combined loading conditions. Composites Science and Technology, 68, 3406-3411, 2008.
Data-Driven Material Characterization in Manufacturing Processes. UC Berkeley, July 2019.
Using Big Data and Machine Learning to Identify the Strain-Rate and Temperature Dependent Hardening of Polypropylene. International Conference on Plasticity, Damage & Fracture, Panama city-Panama, January 2019.
Micro-testing with application to characterizing the HAZ. 15th MIT workshop on experimental and computational fracture mechanics, Boston-USA, November 2018.
On the potential of machine learning algorithms to predict the plasticity of sheet metal. IDDRG2018, 37th International Deep-Drawing Research Group Conference, Waterloo-Canada, June 2018.
Plasticity of elastically-isotropic two-dimensional metamaterials. SES2018, 55th Annual Technical Meeting of the Society of Engineering Science, Madrid-Spain, October 2018.
Identifying the effect of stress state on ductile fracture from experiments at the microscale. International Conference on Plasticity, Damage & Fracture, Puerto Rico-USA, January 2018.
Optical Metrology for Sheet Metal Forming: Material Parameters, Simulation Verification. GOM 3D Metrology Conference, Braunschweig-Germany, 2015.
Research Scientist, Massachusetts Institute of Technology (MIT), 2018 – 2020
Postdoctoral Fellow, Massachusetts Institute of Technology (MIT), 2016 – 2018
Lecturer, Mechanical Engineering, Massachusetts Institute of Technology (MIT), 2018
On the potential of machine learning algorithms to predict the plasticity of sheet metal. MIT-ETH Industrial Fracture Consortium project.
Develop micro-testing approach by designing the new tools for the miniaturized specimens to characterize the plasticity and fracture locus of weld fusion and heat affected zones. MITie project with ExxonMobil Corporate Strategic Research.
Develop a new instability and fracture models to optimize the metal forming and bending crack behavior of Al-Alloy composites. Switzerland Commission for Technology and Innovation (CTI) with Daimler AG, Novelis Switzerland SA, AutoForm Engineering GmbH and GOM mbH.
Analyze the tribological phenomena in hot extrusion processes by designing a new torsion-tribo test. Industrial project with WEFA Singen GmbH.
International Journal of Solids and Structures
International Journal of Impact Engineering
Journal of Materials Processing Technology
The Journal of Strain Analysis for Engineering Design
Engineering Fracture Mechanics
International Journal of Material Forming
International Journal of Mechanical Sciences