Plenary session

The plenary session is scheduled for Wednesday morning, 20th September and will consist of a series of outstanding talks:

09:15 - Introduction - Conference organizers

09:20 - Welcome address by the Rector of the Warsaw University of Technology

09:25 - Welcome address by the E-MRS President

09:30 - Laudatio and Presentation of the Jan Czochralski Award to Prof. Elvira Fortunato, New University of Lisbon, Portugal


Lecture 1:

Sustainable materials it is not a need, but our commitment!


Elvira Fortunato

Departamento de Ciência dos Materiais
Faculdade de Ciências e Tecnologia
Universidade Nova de Lisboa
Campus de Caparica
2829-516 Caparica


In this talk we will discuss the state of the art and potential future directions in paper-based electronics with special emphasis to the work developed at CENIMAT|i3N, covering electronic devices, smart displays, printed electronics, sensors and diagnostic tests.

We have been observing a rapid and growing interest concerning the utilization of biological materials for a wide range of applications. One of the most representative example is cellulose, not only in the form of raw material mainly for pulp and paper production, but also in the development of advanced materials/products with tailor-made properties, especially the ones based on nanostructures.

5 years ago paper electronics was pure science fiction, but today we have already several paper-based electronics like integrated circuits, supercapacitors, batteries, fuel cells, solar cells, transistors, microwave electronics, digital logic/computation, displays, force-sensing MEMS, user interfaces, transparent substrates, substrates with high strength, wearable devices, and new rapid diagnostic test sensors. These devices with their associated physics and processing will play an important and relevant to our society ongoing efforts to in environmental sustainability, safety, communication, health, and performance. 


Lecture 2:

Shaping the future of materials research with machine learning and Big Data






Osvaldo N. Oliveira Jr.

São Carlos Institute of Physics, University of São Paulo, Brazil 




Recent developments in machine learning have brought the expectation that artificial intelligence systems will be ubiquitous in the near future, with large impact on science and technology. The ways researchers develop and optimize materials for varied applications are already affected by the availability of large databases of materials properties and Big Data methodologies [1]. In this lecture, examples will be given of computational methods to handle large amounts of data in sensing and biosensing, which include machine learning techniques to relate impedance spectroscopy data from an electronic tongue to the human perception of taste. For clinical diagnostics, it will be made clear that a convergence of nanotechnology and Big Data resources is required for creating computer-aided diagnosis systems [2]. On one hand, optimized sensors and biosensors need to be produced with nanomaterials and nanotech-related techniques [3], while on the other hand robust computational methods are crucial for distinguishing among very similar responses, as in detection of cancer biomarkers [4]. Most significantly, the shift in paradigms for performing research demands urgent changes in the training of materials researchers.


[1] Oliveira Jr., O.N.; Rodrigues Jr., J.F.; De Oliveira, M.C.F.; Editorial of Elsevier Special Issue “Shaping the Future of Materials Science with Machine Learning”, 2016.

[2] Rodrigues Jr., J.F.; Paulovich, F.V.; De Oliveira, M.C.F.; Oliveira Jr., O.N.; Nanomedicine, 11, 959–982 (2016).

[3] Oliveira Jr., O.N.; Iost, R.M.; Siqueira Jr., J.R.; Crespilho, F.N.; Caseli, L.; ACS Appl. Mater. Interfaces, 6, 14745−14766 (2014).

[4] Soares, A.C.; Soares, J.C.; Shimizu, F.M.; Melendez, M.E.; Carvalho, A.L.; Oliveira Jr., O.N.; ACS Appl. Mater. Interfaces 7, 25930−25937 (2015).


Lecture 3:

Topological Materials and their potential for applications (from Topological Insulators to Magnetic Skyrmions)





Albert Fert

CNRS/Thales, Université Paris-Sud, Université Paris-Saclay,

1 Av. Fresnel, Palaiseau, F91767 France




New materials and new phenomena have recently emerged from the interplay between spin-orbit coupling (SOC) and topology effects [1]. The electron states at surfaces or interfaces of topological insulators and also at Rashba interfaces, are characterized by a locking between spin and momentum that can be exploited for an efficient conversion from charge to spin (or spin to charge) currents in spintronic devices. As well, SOC and inversion symmetry breaking by interfaces induce chiral spin interactions that can be used to generate topological protected magnetic solitons called skyrmions. The talk will focus on topological insulators, Rashba interfaces, skyrmions in magnetic multilayers and the resulting perspectives of applications.

  1. I will present experimental results [2] on the conversion between charge and spin currents (at room temperature) by topological insulators (alpha-Sn) or Rashba interfaces (Bi/Ag, LAO/STO) and I will put forward the potential of these conversions for spintronic devices such as magnetic memories or spin-Seebeck heat-electricity converters.
  2. In the second part of the talk [3], I will focus on the room temperature properties of small skyrmions induced by interfacial chiral interaction in magnetic multilayers and describe more particularly the current-induced motion of skyrmions. I will finally discuss the next problems to solve on the route to applications.


[1] A. Soumyanarayanan, N. Reyren, A. Fert and C. Panagopoulos, Nature 539, 509 (2016).

[2] Acknowledgements to Q. Barbedienne, A. Barthélémy, M. Bibes, K. Garcia, J-M. George, E. Jacquet, H. Jaffres, E. Lesne, H. Naganuma, N. Reyren, J-C Rojas-Sánchez at UMR CNRS/Thales, Palaiseau, France, D.C. Vaz, L. Vila, J.-P. Attané, G. Desfond, Y. Fu, S. Gambarelli, M. Jamet, A. Marty, S. Oyarzun, L. Vila at Spintec, Grenoble, France, P. LeFevre, F. Bertran, A. Taleb, at Soleil Synchrotron, Gif/Yvette, France, S. Zhang, University of Arizona, USA.

[3] Acknowledgements to K. Bouzehouane, V. Cros, C. Deranlot, K. Garcia, W. Legrand, D. Maccarrielo, C. Moreau-Luchaire, N. Reyren, J. Sampaio at UMR CNRS/Thales, Palaiseau, France M. Chshiev, H. Yang at Spintec, Grenoble, France, A. Thiaville, S. Rohart at LPS, Orsay, France, C. Moutafis, C.A.F. Vaz, P. Warnicke, J. Raabeat PSI Villegen, Switzerland, M. Weigandat Max Planck Inst. for Intelligent Systems, Stuttgart, Germany.


Lecture 4:

NFFA - Europe project