Instytut Wysokich Ciśnień

The zero resistance and the expulsion of a magnetic field occurring in a superconducting material have huge potential for many practical applications, and seven Nobel prizes have been awarded in the last 100 years. Recently discovered iron-based superconductors (FBS) with high transition temperature (T_c) of 58 K became the second high-T_c-superconducting family after cuprate superconductors. The physical nature and application potential of FBS will be the subject of the next Institute Thursday Seminar.

Dr Shiv J. Singh from our institute, the Laboratory of Superconductors, will introduce the iron-based superconductors and discuss the pressure effects on superconductivity, flux pinning, and vortex dynamics of FBS under ambient and applied conditions, as well as the challenges and current progress.

The Seminar “Review of pressure effects on high-temperature iron-based superconductors” will be held on Thursday, April 27, 2023 at 15:00 on Zoom platform. To get the link to join the seminar, please contact us at dyrekcja@unipress.waw.pl

Dear Ladies and Gentlemen,

We are pleased to invite you to the IHPP PAS Seminar on Nitride Semiconductors. The next presentation will be held in a hybrid mode – at the New Technologies seminar room, Al. Prymasa Tysiąclecia 98, and through Zoom platform (to get the link, please contact us at nitride_seminar@mail.unipress.waw.pl ).

The next seminar is scheduled on Wednesday 15.03.2023 at 14:00.

Speaker: dr. Akira Kusaba (RIAM, Kyushu University)

Title: Improvement of gas-phase reaction model and surface structure model for precise prediction of doping in GaN MOCVD

Sincerely,

Tadeusz Suski
Piotr Perlin
Anna Kafar

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.