Scientific Events

Academic career and Professorship in France

  • Date: Nov 2, 2021
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Dr Matteo Ghidelli
  • CNRS researcher, Université Sorbonne Paris Nord, Laboratoire des Sciences des Procédés et des Matériaux (LSPM) - CNRS UPR3407, France
  • Location: Virtual Lecture
  • Host: Prof. Gerhard Dehm
Where: virtual on Zoom (link follows) [more]

Silicon purification through metallurgical processes for PV silicon production

  • Date: Oct 29, 2021
  • Time: 08:30 AM c.t. - 10:00 AM (Local Time Germany)
  • Speaker: Prof. Jafar Safarian
  • Department of Materials Science and Engineering, Norwegian University of Science and Technology (NTNU)
  • Location: Online
  • Room: Virtual Lecture
  • Host: Dr. Yan Ma
The photovoltaic (PV) industry is in rapid growth and a large supply of PV feedstock materials must be provided to maintain this growth. Since silicon is the dominant material for the fabrication of solar cells, low-cost solar-grade silicon (SoG-Si) feedstock is demanded. The most cost-effective and direct approach for producing SoG-Si is to purify and upgrade metallurgical-grade silicon (MG-Si). Many impurities in MG-Si can be effectively removed through directional solidification of molten silicon. However, the removal of boron (B) and phosphorus (P) by this method is difficult and expensive due to the relatively large distribution coefficients of these elements. Therefore, the elimination of B and P to the levels required for SoG-Si feedstock requires the development of new processes. In the present study, the effect of impurities on the solar cell efficiencies and the impurity contents in silicon materials are studied. The metallurgical processes that can be applied to purify metallurgical silicon to solar grade silicon are reviewed and evaluated. It is shown that under development metallurgical refining processes are applicable to produce solar grade silicon. [more]

Towards a Predictive Theory of Grain Growth: Experiments and Simulations

Where: virtual on Zoom (link follows) [more]

Looking deep into Li-Ion Batteries: Advanced Characterization for New Technologies

Electrochemical Energy Storage, in particular Li-Ion Batteries, have become one of the most important technological cornerstones for the current energy transition. The further development and progress in existing technology will depend on both, the introduction of new active electrode materials and the better understanding and mitigation of existing materials challenges. After an introduction in battery technology and the used materials, I will focus on a few examples where advanced characterization is able to bring new insights and better understanding of performance and degradation mechanisms. [more]

Machine Learning for the Steel Industry: Behind the Buzzword

In 2020, every major company’s annual report contained the word digitalization, A.I. or industry 4.0. It is easy to perceive these as buzzwords, aimed at investors, but the reality is more complex: companies are expected to transform now, driven by the fear of becoming obsolete. As researchers, this exciting transition creates significant opportunities: huge amounts of data are becoming readily available, while computing power and machine learning (ML) algorithms are more accessible than ever. However, this is also leading to disproportionate hopes and expectations regarding the actual capabilities of such methods, that only a working knowledge of ML combined with technical expertise in your field can rationalize. As R&D engineers, this critical view will be expected from you. Since technical expertise has already been the focus of your professional career, the effort should therefore be put on acquiring a practical knowledge of ML, that is, what problems can be solved and how to solve them? In this talk, some applications of ML to solve industrial issues (predictive modeling, visualization, combination with physical models...) will be discussed. Furthermore, practical aspects, such as data preparation, models implementation and maintenance will be reviewed, with the aim of providing actual insights on the root causes of successes and failures of ML applied to the steelmaking process. [more]

Tailoring layered Ni-rich oxide cathode materials for solid-state battery applications

  • Date: Oct 1, 2021
  • Time: 11:00 AM c.t. - 12:00 PM (Local Time Germany)
  • Speaker: Dr. Torsten Brezesinski
  • Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany
  • Location: online
  • Host: Prof. Dierk Raabe
Bulk-type (inorganic) solid-state batteries are a promising next-generation energy-storage technology with the prospect of improving safety and enabling higher energy densities than conventional lithium-ion batteries [1]. Especially high-capacity, layered oxide cathode materials (NCM or related) and lithium thiophosphate superionic solid electrolytes are currently being considered for solid-state battery applications (at the positive electrode side). However, interfacial side reactions and chemo-mechanical degradation during cycling operation are major obstacles toward commercialization of “practical” cells. In this presentation, I will demonstrate the importance of tailoring Ni-rich NCM materials in terms of size and composition, among others, for improving the cycling performance of pelletized and slurry-cast cathodes [2-4]. In addition, I will show recent findings on the effects that coating chemistry and morphology have on the side reactions, including gas evolution, in high-loading cells [4-6]. [1] J. Janek, W.G. Zeier, Nat. Energy, 1 (2016) 16141. [2] F. Strauss, T. Bartsch, L. de Biasi, A.-Y. Kim, J. Janek, P. Hartmann, T. Brezesinski, ACS Energy Lett., 3 (2018) 992. [3] F. Strauss, L. de Biasi, A.-Y. Kim, J. Hertle, S. Schweidler, J. Janek, P. Hartmann, T. Brezesinski, ACS Mater. Lett., 2 (2020) 84. [4] J.H. Teo, F. Strauss, D. Tripković, S. Schweidler, Y. Ma, M. Bianchini, J. Janek, T. Brezesinski, Cell Rep. Phys. Sci., 2 (2021) 100465. [5] T. Bartsch, F. Strauss, T. Hatsukade, A. Schiele, A.-Y. Kim, P. Hartmann, J. Janek, T. Brezesinski, ACS Energy Lett., 3 (2018) 2539. [6] F. Strauss, J.H. Teo, J. Maibach, A.-Y. Kim, A. Mazilkin, J. Janek, T. Brezesinski, ACS Appl. Mater. Interfaces, 12 (2020) 57146.
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