ECM | Fuzhan Rahmanian

Fuzhan Rahmanian Postdoc

fuzhan.rahmanian@tum.de | (+49 89 289) 54 443
Room 46206
Lichtenbergstr. 4, 85748 Garching

B.Eng. Biomedical Engineering, Tehran Polytechnic, Iran (2012-2016)
Bachelor Thesis: "Synthesis and Characterization of Silver Doped in HA-Akermanite Nanocomposite"

M.Sc. Advanced Materials (major: Bio), Ulm University, Germany (2016-2018)
Master Thesis: "Microfluidic Lab-on-Chip Systems for Lung Cancer"

M.Sc. Biophysics (major: Physics), Ulm University, Germany (2018-2019)
Master Thesis: "Functionalizing of Cantilever in AFM for Biophysical Applications"

M.Sc. Artificial Intelligence, University of Huddersfield, UK (2019-2021)
Master Thesis: "Outlier Treatment and Efficient Synthetic Data Generation for Heart Failure Prediction"

Ph.D. Student, Technical University of Munich (2020 - 2024)
Doctoral Thesis: "Design and Implementation of Enablers in Materials Acceleration Platforms for Battery Research" (link)

Fuzhan is a researcher and entrepreneur dedicated to advancing sustainable battery innovation through AI-driven materials acceleration platforms. Her research interests include designing explainable machine learning, deep learning applications for natural sciences, uncertainty estimation and optimization algorithms, high-throughput electrochemical experimentation setups for materials science, mathematics and logical programming, feature visualization, data analysis, and data management systems. She is an interdisciplinary researcher with a passion for coding and continuous learning, she is excited about building cross-functional teams to drive the future of energy storage.

13	Attention towards chemistry agnostic and explainable battery lifetime prediction Rahmanian, F., Lee, R. M., Linzner, D., Michel, K., Merker, L., Berkes, B. B., ... & Stein, H. S. npj Computational Materials, 10(1), 100 (2024)
12	Apples to apples: shift from mass ratio to additive molecules per electrode area to optimize Li-ion batteries Zhang, B., Merker, L., Vogler, M., Rahmanian, F., & Stein, H. S. Digital Discovery, 3(7), 1342-1349 (2024)
11	Autonomous millimeter scale high throughput battery research system Rahmanian, F., Fuchs, S., Zhang, B., Fichtner, M., & Stein, H. S. Digital Discovery, 3(5), 883-895 (2024)
10	Fast formation of anode-free Li–metal batteries by pulsed current Cicvarić, K., Pohlmann, S., Zhang, B., Rahmanian, F., Merker, L., Gaberšček, M., & Stein, H. S. Physical Chemistry Chemical Physics, 26(20), 14713-14720 (2024)
9	Conductivity experiments for electrolyte formulations and their automated analysis Rahmanian, F., Vogler, M., Wölke, C., Yan, P., Fuchs, S., Winter, M., ... & Stein, H. S. Scientific Data, 10(1), 43 (2023)
8	One‐shot active learning for globally optimal battery electrolyte conductivity Rahmanian, F., Vogler, M., Wölke, C., Yan, P., Winter, M., Cekic‐Laskovic, I., & Stein, H. S. Batteries & Supercaps, 5(10), e202200228 (2022)
7	From materials discovery to system optimization by integrating combinatorial electrochemistry and data science Stein, H. S., Sanin, A., Rahmanian, F., Zhang, B., Vogler, M., Flowers, J. K., ... & Schroeder, L. Current Opinion in Electrochemistry, 35, 101053 (2022)
6	The potential of scanning electrochemical probe microscopy and scanning droplet cells in battery research Daboss, S., Rahmanian, F., Stein, H. S., & Kranz, C. Electrochemical Science Advances, 2(4), e2100122 (2022)
5	High‐throughput experimentation and computational freeway lanes for accelerated battery electrolyte and interface development research Benayad, A., Diddens, D., Heuer, A., Krishnamoorthy, A. N., Maiti, M., Cras, F. L., ... & Cekic‐Laskovic, I. Advanced Energy Materials, 12(17), 2102678 (2022)
4	Enabling modular autonomous feedback‐loops in materials science through hierarchical experimental laboratory automation and orchestration Rahmanian, F., Flowers, J., Guevarra, D., Richter, M., Fichtner, M., Donnely, P., ... & Stein, H. S. Advanced Materials Interfaces, 9(8), 2101987 (2022)
3	Data Management Plans: the Importance of Data Management in the BIG‐MAP Project Castelli, I. E., Arismendi‐Arrieta, D. J., Bhowmik, A., Cekic‐Laskovic, I., Clark, S., Dominko, R., ... & Vegge, T. Batteries & Supercaps, 4(12), 1803-1812 (2021)
2	Synthesis and characterization of silver-containing sol-gel derived bioactive glass coating Pouraghaei, S., Moztarzadeh, F., Nezafati, N., & Rahmanian, F. Protection of Metals and Physical Chemistry of Surfaces, 52, 285-290 (2016)
1	Nanobiomaterials for bionic eye: vision of the future Ghaffari, M., Moztarzadeh, S., Rahmanian, F., Yazdanpanah, A., Ramedani, A., Mills, D. K., & Mozafari, M. In Engineering of Nanobiomaterials (pp. 257-285). William Andrew Publishing (2016)

Attention towards chemistry agnostic and explainable battery lifetime prediction
Rahmanian, F., Lee, R. M., Linzner, D., Michel, K., Merker, L., Berkes, B. B., ... & Stein, H. S.
npj Computational Materials, 10(1), 100 (2024)

Apples to apples: shift from mass ratio to additive molecules per electrode area to optimize Li-ion batteries
Zhang, B., Merker, L., Vogler, M., Rahmanian, F., & Stein, H. S.
Digital Discovery, 3(7), 1342-1349 (2024)

Autonomous millimeter scale high throughput battery research system
Rahmanian, F., Fuchs, S., Zhang, B., Fichtner, M., & Stein, H. S.
Digital Discovery, 3(5), 883-895 (2024)

Fast formation of anode-free Li–metal batteries by pulsed current
Cicvarić, K., Pohlmann, S., Zhang, B., Rahmanian, F., Merker, L., Gaberšček, M., & Stein, H. S.
Physical Chemistry Chemical Physics, 26(20), 14713-14720 (2024)

Conductivity experiments for electrolyte formulations and their automated analysis
Rahmanian, F., Vogler, M., Wölke, C., Yan, P., Fuchs, S., Winter, M., ... & Stein, H. S.
Scientific Data, 10(1), 43 (2023)

One‐shot active learning for globally optimal battery electrolyte conductivity
Rahmanian, F., Vogler, M., Wölke, C., Yan, P., Winter, M., Cekic‐Laskovic, I., & Stein, H. S.
Batteries & Supercaps, 5(10), e202200228 (2022)

From materials discovery to system optimization by integrating combinatorial electrochemistry and data science
Stein, H. S., Sanin, A., Rahmanian, F., Zhang, B., Vogler, M., Flowers, J. K., ... & Schroeder, L.
Current Opinion in Electrochemistry, 35, 101053 (2022)

The potential of scanning electrochemical probe microscopy and scanning droplet cells in battery research
Daboss, S., Rahmanian, F., Stein, H. S., & Kranz, C.
Electrochemical Science Advances, 2(4), e2100122 (2022)

High‐throughput experimentation and computational freeway lanes for accelerated battery electrolyte and interface development research
Benayad, A., Diddens, D., Heuer, A., Krishnamoorthy, A. N., Maiti, M., Cras, F. L., ... & Cekic‐Laskovic, I.
Advanced Energy Materials, 12(17), 2102678 (2022)

Enabling modular autonomous feedback‐loops in materials science through hierarchical experimental laboratory automation and orchestration
Rahmanian, F., Flowers, J., Guevarra, D., Richter, M., Fichtner, M., Donnely, P., ... & Stein, H. S.
Advanced Materials Interfaces, 9(8), 2101987 (2022)

Data Management Plans: the Importance of Data Management in the BIG‐MAP Project
Castelli, I. E., Arismendi‐Arrieta, D. J., Bhowmik, A., Cekic‐Laskovic, I., Clark, S., Dominko, R., ... & Vegge, T.
Batteries & Supercaps, 4(12), 1803-1812 (2021)

Synthesis and characterization of silver-containing sol-gel derived bioactive glass coating
Pouraghaei, S., Moztarzadeh, F., Nezafati, N., & Rahmanian, F.
Protection of Metals and Physical Chemistry of Surfaces, 52, 285-290 (2016)

Nanobiomaterials for bionic eye: vision of the future
Ghaffari, M., Moztarzadeh, S., Rahmanian, F., Yazdanpanah, A., Ramedani, A., Mills, D. K., & Mozafari, M.
In Engineering of Nanobiomaterials (pp. 257-285). William Andrew Publishing (2016)

Fuzhan Rahmanian Postdoc

Publications

Fellowships, Awards, and Honors