Institute of High Pressure Physics

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 remote mode – through Zoom platform (to get the link, please contact us at nitride_seminar@mail.unipress.waw.pl ).

The next seminar is scheduled on Monday 17.04.2023 at 14:00.

Speaker: prof. dr hab. inż. Robert Kudrawiec (Wrocław University of Science and Technology, Department of Semiconductor Materials Engineering)

Title: Physical phenomena on the GaN surface and GaN interface with other materials

Sincerely,

Tadeusz Suski
Piotr Perlin
Anna Kafar

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.