Rinderle, Michael

Technical University of Munich

Associate Professorship of Computational Photonics (Prof. Jirauschek)

Work:
Hans-Piloty-Str. 1(5901)/II
85748 Garching b. München

Winter term 2024/25

Course no.	Title	Duration	Type	Lecturer (assistant)
0000003483	Computational Photonics Laboratory	5	PR	C. Jirauschek [L] C. Jirauschek [L] Ö. Asirim Y. Yuan M. Schreiber M. Haider L. Seitner J. Stowasser M. Rinderle
0000002612	Python for Engineering Data Analysis - From Machine Learning to Visualization	5	PR	A. Gagliardi [L] C. Jirauschek M. Rinderle M. Schreiber G. A. Siddiqui Ö. Asirim Y. Yuan M. Haider
0000004031	Seminar Quantum Engineering and Machine Learning	2	HS	C. Jirauschek A. Gagliardi M. Haider Í. Iribarren Aguirre M. Harth J. Stowasser I. Kouroudis M. Schreiber .‑. Poonam L. Seitner M. Rinderle G. A. Siddiqui Ö. Asirim S. Wang Y. Yuan

Course no.

Title

Dates

Duration

Type

Lecturer (assistant)

0000003483

5

PR

0000002612

5

PR

0000004031

2

HS

MA: Master Thesis, BA: Bachelor Thesis, DA: Diploma Thesis,
FP: Forschungspraxis, IP: Ingenieurpraxis

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Michaels, Hannes; Rinderle, Michael; Benesperi, Iacopo; Freitag, Richard; Gagliardi, Alessio; Freitag, Marina: Emerging indoor photovoltaics for self-powered and self-aware IoT towards sustainable energy management. Chemical Science 14 (20), 2023, 5350-5360 more… BibTeX Full text ( DOI )

F. Mayr, M. Harth, I. Kouroudis, M. Rinderle, A. Gagliardi: Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy. The Journal of Physical Chemistry Letters 13 (8), 2022, 1940-1951 more… BibTeX Full text ( DOI )
H. Michaels, M. Rinderle, R. Freitag, I. Benesperi, A. Gagliardi: Dynamic energy management through photovoltaic-powered IoT sensors. Digitala Vetenskapliga Arkivet DIVA 2022-03, 2022 more… BibTeX

Rinderle, M.; Gagliardi, A.: Machine Learning & multiscale simulations: toward fast screening of organic semiconductor materials. International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD), IEEE Explore Library, 2021Torino, Italy 13-17 Sep 2021-09 more… BibTeX Full text ( DOI )

Michaels, H.; Rinderle, M.; Freitag, R.; Benesperi, I.; Edvinsson, T.; Socher, R.; Gagliardi, A.; Freitag, M.: Dye-sensitized solar cells under Ambient Light Powering Machine Learning: Towards autonomous smart sensors for Internet of Things. Chem. Sci., Accepted Manuscript 2020-02, 2020, 1-34 more… BibTeX Full text ( DOI )
Rinderle, M.; Kaiser, W.; Mattoni, A.; Gagliardi, A.: Machine Learned Charge Transfer Integrals for Multiscale Simulations in Organic Thin Films. J. Phys. Chem. C, XXXX, XXX, XXX-XXX 2020-07, 2020, 1-34 more… BibTeX Full text ( DOI )

Rinderle, M.; Lederer, J.; Kaiser, W.; Gagliardi, A.: Machine learning for predicting charge transfer integrals in organic thin films. European Materials Research Society Spring Meeting, Presentation AA.6.2, 2019Nice, France, 27-31 May 2019-05 more… BibTeX
Rinderle, M.; Speckbacher, M.; Tornow, M.; Gagliardi, A.: A kinetic Monte Carlo simulation of filament formation in memristive devices. European Materials Research Society Spring Meeting, Poster AA.P.44, 2019, 2019Nice, France, 27-31 May 2019-05 more… BibTeX
Speckbacher, M.; Rinderle, M.; Kaiser, W.; Osman, E.A.; Chryssikos, D.; Cattani‐Scholz, A.; Gibbs, J.M.; Gagliardi, A.; Tornow, M.: Directed Assembly of Nanoparticle Threshold‐Selector Arrays. Adv. Electron. Mater. 1900098 2019-05, 2019, 1-9 more… BibTeX Full text ( DOI )

Kaiser, W.; Popp, J.; Rinderle, M.; Albes, T.; Gagliardi, A.: Generalized Kinetic Monte Carlo Framework for Organic Electronics. Algorithms 11(4), 37 (This article belongs to the Special Issue Monte Carlo Methods and Algorithms) 2018-03, 2018, 37 more… BibTeX Full text ( DOI )
Kaiser, w.; Rinderle, M.; Gagliardi, A.: Impact of the Level and Orientation of Crystallinity on Charge Transport in Semi-Crystalline Organic Semiconductors. IEEE 18th International Conference on Nanotechnology (IEEE-NANO), IEEE Xplore Digital Library, 2018Cork, Ireland, 23-26 July 2018-07 more… BibTeX Full text ( DOI )