In Pipeline
Asymmetric CycleGANs for Inverse Design of Photonic Metastructures, J. Panisilvam, H. Weeratunge, E. Hajizadeh, S. Kim, In Preparation (2022)
Data-efficient hybrid optimization framework for coarse-graining of a model polymer using Bayesian approach, H. Weeratunge, Z. Shireen, Nick M. Robe, A. Menzel, A. W. Phillips, M. Kirley, K. Smith-Miles, R. G. Larson, E. Hajizadeh, In Preparation (2022)
Data-driven Inverse design of sustainable coating fluids, J. Abdolahi, N. M. Robe, M. Kirley, R. G. Larson, and E. Hajizadeh, In Preparation (2022)
Data-efficient hybrid optimization framework for coarse-graining of a model polymer using Bayesian approach, H. Weeratunge, Z. Shireen, Nick M. Robe, A. Menzel, A. W. Phillips, M. Kirley, K. Smith-Miles, R. G. Larson, E. Hajizadeh, In Preparation (2022)
Data-driven Inverse design of sustainable coating fluids, J. Abdolahi, N. M. Robe, M. Kirley, R. G. Larson, and E. Hajizadeh, In Preparation (2022)
Published
14. A Bio-inspired 3D-printable Flexture Joint with Cellular Mechanical Metamaterials Architecture for Soft Robotic Hands, A. Mohammadi, E. Hajizadeh, Y. Tan, P. Choong, D. Oetemo, Accepted (2022)
13. A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer, Z. Shireen, H. Weeratunge, A. Menzel, Andrew W. Phillips, Ronald G. Larson, Kate Smith-Miles, Elnaz Hajizadeh, Nature npj Computational Materials, 8, 1-11 (2022), IF = 13.2 (Q1)
12. Linear viscoelastic shear and bulk relaxation moduli in poly (tetramethylene oxide) (PTMO) using united-atom molecular dynamics,
Z. Shireen, E. Hajizadeh, PJ Daivis, C. Brandl, Computational Materials Science, 216,111824 (2023), IF = 3.572 (Q1)
11. Lignin-liquid crystalline elastomeric composites for shape memory applications, P. Prathumrata, M. Nikzad, E. Hajizadeh. I. Sabrski, Express Polymer Letters , 17 (1), 104-117 (2023), IF = 3.95 (Q1)
10. A machine learning accelerated inverse design of underwater acoustic polyurethane coatings, H.Weeratunge, Z. Shireen, S. Iyer, A. Menzel, A.W. Phillips, S. Halgamuge, R. Sandberg, E. Hajizadeh, Structural and Multidisciplinary Optimization, 65, 213 (2022), IF = 4.54 (Q1)
https://link.springer.com/content/pdf/10.1007/s00158-022-03322-w.pdf.
9. Shape Memory Elastomers: A Review of Synthesis, Design, Advanced Manufacturing, and Emerging Applications, P. Prathumrata, M. Nikzad, E. Hajizadeh, R. Arablouei, and I. Sabrski, Polymers for Advanced Technologies, 33, 1782-1808 (2022); IF = 3.67 (Q1)
https://onlinelibrary.wiley.com/doi/epdf/10.1002/pat.5652
8. Predictions of polymer migration in a dilute solution between rotating eccentric cylinders, J. Xiang, E. Hajizadeh, R.G. Larson, D. Nelson, Journal of Rheology, 65, 1311 (2021); IF = 4.41 (Q1)
https://doi.org/10.1122/8.0000330
7. A comparative study of force fields for predicting shape memory properties of liquid crystalline elastomers using molecular dynamic simulations, P. Prathumart, I. Sbarski, E. Hajizadeh, and M. Nikzad, Journal of Applied Physics, 129, 155101 (2021); IF = 2.88 (Q1)
https://doi.org/10.1063/5.0044197
6. A novel hybrid population balance—Brownian dynamics method for simulating the dynamics of polymer-bridged colloidal latex particle suspensions, E. Hajizadeh, S. Yu, S. Wang, and R.G. Larson
Journal of Rheology, 62, 235 (2018); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4996064
5. Stress-gradient-induced polymer migration in Taylor–Couette flow, E. Hajizade and R. G. Larson
Soft Matter, 13, 5942-5949 (2017); IF = 4.05 (Q1)
https://doi.org/10.1039/C7SM00821J
4. Stress-gradient-induced polymer migration: Perturbation theory and comparisons to stochastic simulations, G. Zhu, H. Rezvantalab, E. Hajizadeh, X. Wang. R. G. Larson
Journal of Rheology, 60, 327 (2016); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4942252
3. A molecular dynamics investigation of the planar elongational rheology of chemically identical dendrimer-linear polymer blends, E. Hajizadeh, B. D. Todd, and P. J. Daivis
J. Chem. Phys. 142, 174911 (2015); IF = 3.49 (Q1)
https://doi.org/10.1063/1.4919654
2. Shear rheology and structural properties of chemically identical dendrimer-linear polymer blends through molecular dynamics simulations, E. Hajizadeh, B. D. Todd, and P. J. Daivis
J. Chem. Phys. 141, 194905 (2014); IF = 3.49 (Q1)
https://doi.org/10.1063/1.4901721
1. Nonequilibrium molecular dynamics simulation of dendrimers and hyperbranched polymer melts undergoing planar elongational flow, E. Hajizadeh, B. D. Todd, and P. J. Daivis
Journal of Rheology, 58, 281 (2014); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4860355
13. A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer, Z. Shireen, H. Weeratunge, A. Menzel, Andrew W. Phillips, Ronald G. Larson, Kate Smith-Miles, Elnaz Hajizadeh, Nature npj Computational Materials, 8, 1-11 (2022), IF = 13.2 (Q1)
12. Linear viscoelastic shear and bulk relaxation moduli in poly (tetramethylene oxide) (PTMO) using united-atom molecular dynamics,
Z. Shireen, E. Hajizadeh, PJ Daivis, C. Brandl, Computational Materials Science, 216,111824 (2023), IF = 3.572 (Q1)
11. Lignin-liquid crystalline elastomeric composites for shape memory applications, P. Prathumrata, M. Nikzad, E. Hajizadeh. I. Sabrski, Express Polymer Letters , 17 (1), 104-117 (2023), IF = 3.95 (Q1)
10. A machine learning accelerated inverse design of underwater acoustic polyurethane coatings, H.Weeratunge, Z. Shireen, S. Iyer, A. Menzel, A.W. Phillips, S. Halgamuge, R. Sandberg, E. Hajizadeh, Structural and Multidisciplinary Optimization, 65, 213 (2022), IF = 4.54 (Q1)
https://link.springer.com/content/pdf/10.1007/s00158-022-03322-w.pdf.
9. Shape Memory Elastomers: A Review of Synthesis, Design, Advanced Manufacturing, and Emerging Applications, P. Prathumrata, M. Nikzad, E. Hajizadeh, R. Arablouei, and I. Sabrski, Polymers for Advanced Technologies, 33, 1782-1808 (2022); IF = 3.67 (Q1)
https://onlinelibrary.wiley.com/doi/epdf/10.1002/pat.5652
8. Predictions of polymer migration in a dilute solution between rotating eccentric cylinders, J. Xiang, E. Hajizadeh, R.G. Larson, D. Nelson, Journal of Rheology, 65, 1311 (2021); IF = 4.41 (Q1)
https://doi.org/10.1122/8.0000330
7. A comparative study of force fields for predicting shape memory properties of liquid crystalline elastomers using molecular dynamic simulations, P. Prathumart, I. Sbarski, E. Hajizadeh, and M. Nikzad, Journal of Applied Physics, 129, 155101 (2021); IF = 2.88 (Q1)
https://doi.org/10.1063/5.0044197
6. A novel hybrid population balance—Brownian dynamics method for simulating the dynamics of polymer-bridged colloidal latex particle suspensions, E. Hajizadeh, S. Yu, S. Wang, and R.G. Larson
Journal of Rheology, 62, 235 (2018); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4996064
5. Stress-gradient-induced polymer migration in Taylor–Couette flow, E. Hajizade and R. G. Larson
Soft Matter, 13, 5942-5949 (2017); IF = 4.05 (Q1)
https://doi.org/10.1039/C7SM00821J
4. Stress-gradient-induced polymer migration: Perturbation theory and comparisons to stochastic simulations, G. Zhu, H. Rezvantalab, E. Hajizadeh, X. Wang. R. G. Larson
Journal of Rheology, 60, 327 (2016); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4942252
3. A molecular dynamics investigation of the planar elongational rheology of chemically identical dendrimer-linear polymer blends, E. Hajizadeh, B. D. Todd, and P. J. Daivis
J. Chem. Phys. 142, 174911 (2015); IF = 3.49 (Q1)
https://doi.org/10.1063/1.4919654
2. Shear rheology and structural properties of chemically identical dendrimer-linear polymer blends through molecular dynamics simulations, E. Hajizadeh, B. D. Todd, and P. J. Daivis
J. Chem. Phys. 141, 194905 (2014); IF = 3.49 (Q1)
https://doi.org/10.1063/1.4901721
1. Nonequilibrium molecular dynamics simulation of dendrimers and hyperbranched polymer melts undergoing planar elongational flow, E. Hajizadeh, B. D. Todd, and P. J. Daivis
Journal of Rheology, 58, 281 (2014); IF = 4.41 (Q1)
https://doi.org/10.1122/1.4860355