HI ERN
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Our Vision

Scara-robot and robotic arm handling OPV-substratesScara-robot and robotic arm handling OPV-substrates
Copyright: Kurt Fuchs/ZAE Bayern

is to revolutionize materials research and design. By linking state of the art materials modeling with high-throughput synthesis and formulation significantly more complex material combinations can be investigated than by traditional methods. By coupling these capabilities directly with application and characterization a simultaneous optimization of multiple performance parameters on the device level becomes possible. Through the addition of machine learning, big-data methods and state of the art optimization tools, the development of custom designed functional materials for the energy sector will be accelerated by 1-2 orders of magnitude!

Our Infrastructure

is customized for the fast and precise formulation and characterization of solutions, exploring large parameter spaces for solution formulation, manufacturing and characterizing electro-optical devices, energy materials and functional films.

For this purpose we have

  • Fully equipped chemical lab with clean room capabilities for semiconductor grade materials storage and handling
  • Automated high throughput synthesis equipment with microwave reactor, sample concentrator, liquid chromatography
  • Semi-automated systems with pipetting robots and plate reader for pre-qualification of materials and inks
  • State of the art printing and coating lab for film deposition with nm precision
  • Fully automated research line for synthesis, ink formulation, film deposition, electrode evaporation, materials and substrate handling, characterization of up to 96 samples in parallel
  • Non-destructive imaging lab with spectroscopic and hyperspectral imaging and scanning methods (Raman, FTIR, PL, EL, Thermography, AFM, SEM)
  • Accelerated Lifetime testing with variable temperatures (up to 1000 °C, illumination (up to 500 suns) and atmospheres (con-trolled levels of humidity, O2, or other gases)
  • Database and IT infrastructure for data handling and analysis

At the heart of our research facilities is our fully automated research machine AMANDA which integrates all functions from solution handling, film processing, device finishing and characterization in one integrated platform.

AMANDA - Autonomous Materials and Device Application PlatformAMANDA - Autonomous Materials and Device Application Platform
Copyright: Kurt Fuchs/ZAE Bayern

Current Projects

ELF-PV

Project ELF-PV - Design and Development of Solution Processable Functional Materials

Mehr: Project ELF-PV - Design and Development of Solution Processable Functional Materials …

Pero4PV Workflow

Pero4PV - High throughput screening of lead-free Perovskites for photovoltaic applications

Mehr: Pero4PV - High throughput screening of lead-free Perovskites for photovoltaic applications …

VIPERLAB Overview with Border

Viperlab - Fully connected virtual and physical perovskite photovoltaics Lab

Mehr: Viperlab - Fully connected virtual and physical perovskite photovoltaics Lab …

Perovskite Database Picture

AutoPeroSol - towards automatic data management and a common ontology for perovskite solar cell device data

Mehr: AutoPeroSol - towards automatic data management and a common ontology for perovskite solar cell device data …

Hello Helmholtz AI

AI-InSu-Pero - Artificial Intelligence Guided In-situ Analysis of Scalable Perovskite Thin Film Deposition

Mehr: AI-InSu-Pero - Artificial Intelligence Guided In-situ Analysis of Scalable Perovskite Thin Film Deposition …

EMERGE Logo

EMERGE - Emerging Printed Electronics Research Infrastructure

Mehr: EMERGE - Emerging Printed Electronics Research Infrastructure …

Publications

This is an excerpt of our most relevant publications in recent years. For a full list of our departments publications please follow this search link to the JuSER literature database provided by Forschungszentrum Jülich.

1) J. Wagner, C. G. Berger, X. Du, T. Stubhan, J. A. Hauch, C. J. Brabec: The evolution of Materials Acceleration Platforms: toward the laboratory of the future with AMANDA; Journal of Materials Science (2021); DOI: 10.1007/s10853-021-06281-7

2) Y. Zhao; J. Zhang; Z. Xu; S. Sun; S. Langner; N. T. P. Hartono; T. Heumueller; Y. Hou; J. Elia; N. Li; G. J. Matt; X. Du; W. Meng; A. Osvet; K. Zhang; T. Stubhan; Y. Feng; J. Hauch; E. H. Sargent; T. Buonassisi; C. J. Brabec: Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning; Nature Communications (2021); DOI: 10.1038/s41467-021-22472-x

3) S. Sun; A. Tiihonen; F. Oviedo; Z. Liu; J. Thapa; Y. Zhao; N. T. P. Hartono; A. Goyal; T. Heumueller; C. Batali; A. Encinas; J. J. Yoo; R. Li; Z. Ren; I. M. Peters; C. J. Brabec; M. G. Bawendi; V. Stevanovic; J. Fisher; T. Buonassisi: A data fusion approach to optimize compositional stability of halide perovskites; Matter (2021); DOI: 10.1016/j.matt.2021.01.008

4) X. Du; L. Lüer; T. Heumueller; J. Wagner; C. Berger; T. Osterrieder; J. Wortmann; S. Langner; U. Vongsaysy; M. Bertrand; N. Li; T. Stubhan; J. Hauch; C. J. Brabec: Elucidating the Full Potential of OPV Materials Utilizing a High-Throughput Robot-Based Platform and Machine Learning; Joule (2021); DOI: 10.1016/j.joule.2020.12.013

5) Y. Zhao; P. Miao; J. Elia; H. Hu; X. Wang; T. Heumueller; Y. Hou; G. J. Matt; A. Osvet; Y.-T. Chen; M. Tarragó; D. de Ligny; T. Przybilla; P. Denninger; J. Will; J. Zhang; X. Tang; N. Li; C. He; A. Pan; A. J. Meixner; E. Spiecker; D. Zhang; C. J. Brabec: Strain-activated light-induced halide segregation in mixed-halide perovskite solids; Nature Communications (2020); DOI: 10.1038/s41467-020-20066-7

6) X. Du; T. Heumueller; W. Gruber; O. Almora; A. Classen; J. Qu; F. He; T. Unruh; N. Li; C. J. Brabec: Unraveling the Microstructure-Related Device Stability for Polymer Solar Cells Based on Nonfullerene Small-Molecular Acceptors; Advanced materials (2020); DOI: 10.1002/adma.201908305

7) S. Langner; F. Häse; J. D. Perea; T. Stubhan; J. Hauch; L. M. Roch; T. Heumueller; A. Aspuru-Guzik; C. Brabec: Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multicomponent Systems; Advanced materials (2020); DOI: 10.1002/adma.201907801

8) K. Weng; J. Xu; X. Du; S. Chandrabose; K. Chen; J. Zhou; G. Han; S. Tan; Z. Xie; Y. Yi; N. Li; F. Liu; J. M. Hodgkiss; C. J. Brabec; Y. Sun: Unraveling the influence of non-fullerene acceptor molecular packing on photovoltaic performance of organic solar cells; Nature Communications (2020); DOI: 10.1038/s41467-020-19853-z

9) E. Gu; X. Tang; S. Langner; P. Duchstein; Y. Zhao; I. Levchuk; V. Kalancha; T. Stubhan; J. Hauch; H. J. Egelhaaf; D. Zahn; A. Osvet; C. J. Brabec: Robot-Based High-Throughput Screening of Antisolvents for Lead Halide Perovskites; Joule (2020); DOI: 10.1016/j.joule.2020.06.013

10) C. J. Brabec; A. Distler; X. Du; H.-J. Egelhaaf; J. Hauch; T. Heumueller; N. Li: Material Strategies to Accelerate OPV Technology Toward a GW Technology; Advanced energy materials (2020); DOI: 10.1002/aenm.202001864

11) A. Classen; C. L. Chochos; L. Lüer; V. G. Gregoriou; J. Wortmann; A. Osvet; K. Forberich; I. McCulloch; T. Heumüller; C. J. Brabec: The role of exciton lifetime for charge generation in organic solar cells at negligible energy-level offsets; Nature energy (2020); DOI: 10.1038/s41560-020-00684-7

12) Tabor D.P., Roch L.M., Saikin S.K., Kreisbeck C., Sheberla D., Montoya J.H., Dwaraknath S., Aykol M., Ortiz C., Tribukait H., Amador-Bedolla C., Brabec C., Maruyama B., Persson K.A., Aspuru-Guzik A.: Accelerating the discovery of materials for clean energy in the era of smart automation; Nature Reviews Materials (2018) DOI: 10.1038/s41578-018-0005-z

13) Xie C., Tang X., Berlinghof M., Langner S., Chen S., Späth A., Li N., Fink R., Unruh T., Brabec C.: Robot-Based High-Throughput Engineering of Alcoholic Polymer: Fullerene Nanoparticle Inks for an Eco-Friendly Processing of Organic Solar Cells; ACS Applied Materials & Interfaces (2018) DOI: 10.1021/acsami.8b03621

14) Chen S., Hou Y., Chen H., Tang X., Langner S., Li N., Stubhan T., Levchuk I., Gu E., Osvet A., Brabec C.: Exploring the Stability of Novel Wide Bandgap Perovskites by a Robot Based High Throughput Approach; Advanced Energy Materials (2017) DOI: 10.1002/aenm.201701543


Recent News


SpinBot Setup
SCIPRIOS licenses SpinBot Technology from FZJ/HIERN
08/2021 - For its high-throughput automated processing lines HI ERN has developed an automated spin-coating setup. This SpinBot Technology was recently licensed by the SpinOff SCIPRIOS
Mehr: SCIPRIOS licenses SpinBot Technology from FZJ/HIERN …
Picture Excerpts from AMANDA Paper
Journal of Materials Science publishes Jerrit's Mini Review on MAPs and AMANDA
07/2021 - Journal of Materials Science publishes Jerrit's Mini Review on MAPs and AMANDA
Mehr: Journal of Materials Science publishes Jerrit's Mini Review on MAPs and AMANDA …
EMERGE Logo
HI ERN is part of the EU-project EMERGE
07/2021 - HI ERN is part of the EU-project Emerging Printed Electronics Research Infrastructure (EMERGE). In EMERGE 10 research institutions from 6 countries cooperate to support the value chain connected to flexible large-area printed electronics and photonics (FLAPEP), going from materials formulation to design and architecture of processes, devices and systems..
Mehr: HI ERN is part of the EU-project EMERGE …
Opening "Let's drain our sun"
Vanessa participates in WW Science Slam
07/2021 - Vanessa "stars" in the i-MEET contribution to the annual FAU materials science department science slam
Mehr: Vanessa participates in WW Science Slam …
Dr. Mikhailo Sytnyk
Dr. Mykhailo Sytnyk joins the HTMD-Team
07/2021 - Misha joins as the project leader for the Viperlab project
Mehr: Dr. Mykhailo Sytnyk joins the HTMD-Team …
Horizon 2020 Logo
HI ERN is part of the EU-project VIPERLAB
06/2021 - HI ERN is part of the EU-project VIPERLAB. In VIPERLAB a „Fully connected virtual and physical perovskite photovoltaics Lab“ will be developed by integrating 15 research institutions.
Mehr: HI ERN is part of the EU-project VIPERLAB …
Hello Helmholtz AI
We receive funding as part of the Helmholtz AI Projects call
06/2021 - HI ERN is part of the AI-InSu-Pero project. As part of the project we will develop Artificial Intelligence Guided In-situ Analysis of Scalable Perovskite Thin Film Deposition
Mehr: We receive funding as part of the Helmholtz AI Projects call …
Dr. Oleksandra Raievska
The HTMD-Team welcomes Dr.Oleksandra Raievska
06/2021 - Oleksandra joins our team to perform research on lead-free perovskites as part of Pero4PV
Mehr: The HTMD-Team welcomes Dr.Oleksandra Raievska …
Screenshot of robot transporting a carrier with solar cells
AMANDA Video Released!
05/2021 - See how automated processing of printed solar cells works
Mehr: AMANDA Video Released! …
Perovskite Database Picture
We are part of the Helmholtz Metadata Collaboration with the project AutoPeroSol
04/2021 - HI ERN is part of the AutoPeroSol-Project. AutoPerosol is one ot 9 projects selected as part of the Helmholtz Metadata Collaboration - AutoPeroSol is aiming towards automatic data management and a common ontology for perovskite solar cell device data
Mehr: We are part of the Helmholtz Metadata Collaboration with the project AutoPeroSol …
Yicheng Zhao in our Labs
Nature Communications publishes Yicheng’s Perovskite Discovery of Stability Reversal
04/2021 - Nature Communications publishes Yicheng’s Perovskite Discovery of Stability Reversal
Mehr: Nature Communications publishes Yicheng’s Perovskite Discovery of Stability Reversal …
Semconductor Films produced with High-Throughput Setup
BMWi Project Start: Pero4PV
03/2021 - Pero4PV - High throughput screening of lead-free Perovskites for photovoltaic applications - project started
Mehr: BMWi Project Start: Pero4PV …
Graphical Summary of "Elucidating the Full Potential of OPV Materials Utilizing a High-Throughput Robot-Based Platform and Machine Learning", Joule (2021)
Joule publishes Xiaoyans work on the use of Machine Learning to predict the performance of PM6:Y6
02/2021 - Joule publishes Xiaoyans work on the use of Machine Learning to predict the performance of PM6:Y6
Mehr: Joule publishes Xiaoyans work on the use of Machine Learning to predict the performance of PM6:Y6 …
Simon vor dem Spincoating-Roboter im Labor, Oktober, 2020 - Simon in front of the spincoating robot in the lab, October, 2020
We congratulate Simon Arnold for the best possible grade in his bachelor thesis!
10/2020 - Simon finishes his bachelor thesis "Development and Implementation of a fully automated spin coating setup"
Mehr: We congratulate Simon Arnold for the best possible grade in his bachelor thesis! …
Guangzhou, China and Nuremberg, Germany
next generation solar energy conference
10/2020 The NGSE5 will take place in 2020 in a hybrid format from 7th – 9th of December 2020
Mehr: next generation solar energy conference …
Graphical Summary of "Robot-Based High-Throughput Screening of Antisolvents for Lead Halide Perovskites", Joule (2020)
Joule publishes Ening and Stefans article on HT-Screening of Antisolvents for PSKs
08/2020 - Joule just released Ening and Stefans article on robot-based high-throughput screening of antisolvents for Perowskites
Mehr: Joule publishes Ening and Stefans article on HT-Screening of Antisolvents for PSKs …
Graphical Summary of "Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multicomponent Systems", Advanced Materials (2020)
Advanced Materials publishes Stefans work on self driving laboratories
02/2020 - Advanced Materials publishes Stefans work on self driving laboratories
Mehr: Advanced Materials publishes Stefans work on self driving laboratories …
AMANDA spincoating
News: Automatic Spincoating by our automated Materials and Device Development Platform
24/06/2019 - Automatic Spincoating by our automated Materials and Device Development Platform
Mehr: News: Automatic Spincoating by our automated Materials and Device Development Platform …
Rocket lift-off
News: OPV Cells on their way into space
20/06/2019 - Rocket Launch at Nasa Wallop Facility - Watch our OPV-Cells on their Way into space
Mehr: News: OPV Cells on their way into space …
OPV cells prepared for space missions.
News: OPV Cells for NASA
17/05/2019 - Sending OPV Cells into space
Mehr: News: OPV Cells for NASA …
New Students
News: Welcome Olivia Amargos-Reyes
10/05/2019 - Olivia Amargos-Reyes visits for an extended research stay + we welcome 2 new Bachelor Students
Mehr: News: Welcome Olivia Amargos-Reyes …