Transmission electron microscopy gives us a particular insight into material structure and defects.

At the upcoming Microscopy of Semi-Conducting Materials Conference on April 3-6, 2023 in Cambridge, dr hab. inż. Julita Smalc-Koziorowska will give an invited talk about "Peculiarities of the strain relaxation  in InGaN layers". Dr inż. Joanna Moneta will give an oral presentation "Strain anisotropy of partially relaxed InGaN layers induced by misfit dislocations".

Detailed program of the conference is here.

New lecture on crystal growth theory and application of machine learning for advanced modeling of crystal growth processes of semiconductor bulk crystals and epitaxial layers will be given within the scope of the physics courses in spring semester of Warsaw4PhD School.

The 8-lecture course will be given on-line by dr Akira KUSABA from Kyushu University. The first lecture will be given on April 18th 2023 at 10.00 am.

Visit the Warsaw4PhD webpage to find out more about the scope of the new course and get the Zoom meeting link.

We invite you to make use of old, partly used candles and to support Ukraine. Wax and candles leftovers will be collected in the Institute of High Pressure Physics lobby at ul. Sokołowska 29/37 until April 12, 2023. The candles will then be melted down and transformed into ‘trench candles’ that will go to Ukraine.

What is a trench candle? This is a metal can filled with a rolled cardboard, additionally flooded with wax. Such a candle is not only a source of light, but also allows people to heat or boil water. Taking into account the frequent power outages and problems with heating and electricity supply, such candles will be of a great help.

Thank you for joining this action!

Can the latest achievements of machine learning (ML) and artificial intelligence (AI) pave a fundamentally new way of doing science? How to teach the algorithm a proper analysis of the huge amounts of data, highlighting anomalies and detecting patterns that humans could never have spotted?

Dr Kazimierz Skrobas from our Institute, the Laboratory of Nanomaterials, will introduce the data processing technique called Machine Learning (ML) and show his material science research examples that employ AI. He will present an application of two simple ML algorithms called Decision Tree and Random Forest to X-ray diffraction data processing will be shown. X-ray diffraction is a basic tool for crystal structure characterization but in many cases analysis is not trivial and extraction of full information is cumbersome. This is true especially for nanostructures where crystal size, crystal shape, and deviation of the atomic structure from perfect periodicity are of particular interest.

The Seminar “Application of Machine Learning to material science domain” will be held on Thursday, March 23, 2023 at 15:30* on Zoom platform. To get the link to join the seminar, please contact us at dyrekcja@unipress.waw.pl

*note that the seminar will start at 15:30, that is 30 min later than usually.