Reiter, Nina

Nina Reiter, M. Sc.

Department of Mechanical Engineering
Lehrstuhl für Kontinuumsmechanik (Schwerpunkt Biomechanik) (LKM, Prof. Budday)

Raum E4-09
Dr.-Mack-Straße 81
90762 Fürth

Phone number: +49 911 8571433
Email: nina.reiter@fau.de

Short Bio

Nina Reiter studied Mechanical Engineering at FAU, where she received her Master’s degree in 2020. During her Bachelor studies, she spent a semester abroad at the University of Cádiz, Spain. As a part of her Master studies, Nina participated in a summer school on sustainable tourism and coral reef restoration at the University of Denpasar, Indonesia. Since 2020, she is pursuing her PhD in the Emmy-Noether research group “BRAINIACS – Brain Mechanics Across Scales”. Her research focuses on developing a constitutive model for brain tissue that is based on the tissue’s microstructural composition.
Nina was elected as a member of the GAMM Juniors – the GAMM’s council of young researchers – for the years 2022-2024 and as the speaker of the GAMM Juniors for the year 2023. Since 2023, she is also an associate member of the CRC 1540 “Exploring Brain Mechanics”.
Nina’s areas of interest include brain microstructure, mechanical testing of soft tissues, and viscoelastic modeling. When she’s not in the lab, Nina likes to spend time in front of her aquarium or to go swimming, dancing, or bouldering.

2024

Greiner A., Reiter N., Hinrichsen J., Kainz MP., Sommer G., Holzapfel GA., Steinmann P., Comellas E., Budday S.:
Model-driven exploration of poro-viscoelasticity in human brain tissue: be careful with the parameters!
In: Interface Focus 14 (2024)
ISSN: 2042-8901
DOI: 10.1098/rsfs.2024.0026
Hinrichsen J., Feiler L., Reiter N., Bräuer L., Schicht M., Paulsen F., Budday S.:
Identifying composition-mechanics relations in human brain tissue based on neural-network-enhanced inverse parameter identification
In: Mathematics and Mechanics of Solids (2024)
ISSN: 1081-2865
DOI: 10.1177/10812865231206544
Hinrichsen J., Ferlay C., Reiter N., Budday S.:
Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue
In: Frontiers in Physiology 15 (2024), Article No.: 1321298
ISSN: 1664-042X
DOI: 10.3389/fphys.2024.1321298

2023

Flaschel M., Yu H., Reiter N., Hinrichsen J., Budday S., Steinmann P., Kumar S., De Lorenzis L.:
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
In: Journal of the Mechanics and Physics of Solids 180 (2023), Article No.: 105404
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2023.105404
Griffiths E., Hinrichsen J., Reiter N., Budday S.:
On the importance of using region-dependent material parameters for full-scale human brain simulations
In: European Journal of Mechanics A-Solids 99 (2023), Article No.: 104910
ISSN: 0997-7538
DOI: 10.1016/j.euromechsol.2023.104910
Hinrichsen J., Reiter N., Bräuer L., Paulsen F., Käßmair S., Budday S.:
Inverse identification of region-specific hyperelastic material parameters for human brain tissue
In: Biomechanics and Modeling in Mechanobiology (2023)
ISSN: 1617-7959
DOI: 10.1007/s10237-023-01739-w
Hinrichsen J., Reiter N., Bräuer L., Paulsen F., Käßmair S., Budday S.:
Inverse identification of region-specific hyperelastic material parameters for human brain tissue
In: Biomechanics and modeling in mechanobiology (2023)
ISSN: 1617-7940
DOI: 10.1007/s10237-023-01739-w
Reiter N., Paulsen F., Budday S.:
Mechanisms of mechanical load transfer through brain tissue
In: Scientific Reports 13 (2023), Article No.: 8703
ISSN: 2045-2322
DOI: 10.1038/s41598-023-35768-3
Reiter N., Schäfer AM., Auer S., Paulsen F., Budday S.:
Modeling the finite viscoelasticity of human brain tissue based on microstructural information
In: Proceedings in Applied Mathematics and Mechanics (2023)
ISSN: 1617-7061
DOI: 10.1002/pamm.202300234

2022

Faber J., Hinrichsen J., Greiner A., Reiter N., Budday S.:
Tissue-Scale Biomechanical Testing of Brain Tissue for the Calibration of Nonlinear Material Models
In: Current Protocols 2 (2022), p. e381-
ISSN: 2691-1299
DOI: 10.1002/cpz1.381
Kuth S., Karakaya E., Reiter N., Schmidt LP., Paulsen F., Tessmar J., Budday S., Boccaccini AR.:
Oxidized Hyaluronic Acid-Gelatin-Based Hydrogels for Tissue Engineering and Soft Tissue Mimicking
In: Tissue Engineering - Part C: Methods (2022)
ISSN: 1937-3384
DOI: 10.1089/ten.tec.2022.0004
Moataz M., Reiter N., Al-Mqbas M., Metelkin A., Latifi A., Jovanović J., Delgado A.:
Statistical interpretation of LDA measurements in naturally developing turbulent drag-reducing flow using invariant theory
In: International Journal of Heat and Fluid Flow 93 (2022), Article No.: 108856
ISSN: 0142-727X
DOI: 10.1016/j.ijheatfluidflow.2021.108856

2021

Greiner A., Reiter N., Paulsen F., Holzapfel GA., Steinmann P., Comellas Sanfeliu E., Budday S.:
Poro-Viscoelastic Effects During Biomechanical Testing of Human Brain Tissue
In: Frontiers in Mechanical Engineering 7 (2021), Article No.: 708350
ISSN: 2297-3079
DOI: 10.3389/fmech.2021.708350
Linka K., Reiter N., Würges J., Schicht M., Cyron CJ., Paulsen F., Budday S., Bräuer L.:
Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning
In: Frontiers in Bioengineering and Biotechnology 9 (2021)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2021.704738
Reiter N., Roy B., Paulsen F., Budday S.:
Insights into the Microstructural Origin of Brain Viscoelasticity
In: Journal of Elasticity 145 (2021), p. 99-116
ISSN: 0374-3535
DOI: 10.1007/s10659-021-09814-y
URL: https://link.springer.com/article/10.1007/s10659-021-09814-y

Laboratory Training Biomechanics

since 2023