Noor Titan Putri Hartono (Titan)
Postdoctoral Researcher at Helmholtz-Zentrum Berlin (HZB), Germany
ORCID 0000-0002-0748-0620, Google Scholar
Email, Twitter, LinkedIn
About me
My name is Titan, and I am currently a Postdoctoral Researcher in Solar Energy-Active Materials and Interfaces for Stable Perovskite Solar Cells Department at HZB, Germany, led by Prof. Abate. My research focuses on accelerating perovskite solar cells (PSCs) exploration process, to find a stable, non-toxic, high-efficiency PSC compositions. I am particularly interested in incorporating machine learning and statistical models to assist the exploration —not only in PSCs, but in general materials science field. I am always open for collaboration and learning opportunities across disciplines.
In my free time, I enjoy cooking Indonesian food, reading, and museum hopping.
Research interests
- Perovskite solar cells
- High-throughput experimentation
- Machine learning
Education
- PhD in Mechanical Engineering, June 2018 – June 2021, Massachusetts Institute of Technology, USA (advised by Prof. Tonio Buonassisi, MIT Photovoltaics Research Laboratory), thesis can be accessed here.
- SM/ Master of Science in Mechanical Engineering, September 2016 – June 2018, Massachusetts Institute of Technology, USA.
- SB/ Bachelor of Science in Mechanical Engineering, August 2012 – June 2016, Massachusetts Institute of Technology, USA.
Skills
- Solar energy: PSCs device fabrication, materials characterization (XRD, UV-Vis, FT-IR, JV, XPS, SEM, synchrotron-based micro-XRF, GIWAXS).
- Python, MATLAB, LaTeX.
Selected publications
- Hartono, N. T. P., Tremblay, M. H., Wieghold, S., Dou, B., Thapa, J., Tiihonen, A., … & Sun, S. (2022). Tailoring capping-layer composition for improved stability of mixed-halide perovskites. Journal of Materials Chemistry A. DOI: 10.1039/D1TA07870D.
- Hartono, N. T. P., Thapa, J., Tiihonen, A., Oviedo, F., Batali, C., Yoo, J. J., … & Sun, S. (2020). How machine learning can help select capping layers to suppress perovskite degradation. Nature communications, 11(1), 1-9. DOI: 10.1038/s41467-020-17945-4.
- Sun, S., Hartono, N. T., Ren, Z. D., Oviedo, F., Buscemi, A. M., Layurova, M., … & Buonassisi, T. (2019). Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis. Joule, 3(6), 1437-1451. DOI: 10.1016/j.joule.2019.05.014.