NOMATEN - blog

NOMATEN SEMINAR: On the nature of plastic fluctuations in crystalline materials (Oct 26th at 1PM CET)

25 October 2021

 The next NOMATEN Seminar "On the nature of plastic fluctuations in crystalline materials" will take place on Tuesday Oct 26th at 1PM CET

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JUNIOR SEMINAR on OCT 19th: Sn oxycarbide – structural and functional characterization of biocoatings

18 October 2021

NOMATEN Junior Seminar on OCT 19th at 1.00PM CET (13:00) by Magdalena Gawęda PhD (Gdańsk University of Technology): "Silicon oxycarbide – structural and functional characterization of novel biocoatings. Application of vibrational spectroscopy and imaging in organic and inorganic samples analysis"

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NOMATEN Seminar on OCT 12 by Kristiina Iljin PhD from VTT: Recombinant antibody technologies at VTT

08 October 2021

On October 12th Kristiina Iljin PhD from VTT will give a presentation at NOMATEN seminar. This time we will host a lecture in the field of radiopharmaceuticals: Recombinant antibody technologies at VTT

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NOMATEN Seminar on SEPT 28 by Nick Jones from Cambridge University: Microstructural evolution in Refractory Metal Superalloys

23 September 2021

World famous scientist Nick Jones PhD MEng will be our guest at next NOMATEN Seminar on Tuesday September. He wil give a presentation on Microstructural evolution in Refractory Metal Superalloys.

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New NOMATEN JUNIOR Seminar format: SEPT 21st at 1PM: Presentation of the subgoal search method for complex reasoning tasks

21 September 2021

New format of our seminars will start with AI/ML topic by Tomasz Odrzygóźdź from AWARElab, a postdoc researcher at the University of Warsaw: Presentation of the subgoal search method for complex reasoning tasks

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NOMATEN online seminar on September 14th: High temperature corrosion and materials coatings

06 September 2021

NOMATEN is back with the seminars! On September 14th at 1PM Mr Tomasz Dudziak PhD Dsc Eng. will give a presentation on High temperature corrosion and materials coatings.

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NOMATEN's new scientific paper: Nanoindentation of single crystalline Mo: Atomistic defect nucleation and thermomechanical stability

31 August 2021

NOMATEN released new paper within the journal Materials Science and Engineering: A - "Nanoindentation of single crystalline Mo: Atomistic defect nucleation and thermomechanical stability". The authors team consist of Javier Dominguez PhD, Stefanos Papanikolaou PhD (Research Goup Leader - Materials informatics Structure and Function), Amin Esfandiarpour PhD, prof. Paweł Sobkowicz PhD DSc (Director for Scientific Operations) and prof. Mikko Alava PhD (NOMATEN CoE Director and Research Group Leader - Complexity in Materials).


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We are hiring: jop opportunities for AI/ML Expert and Desktop Application Developer

19 August 2021

NOMATEN plans to develop in-house functional programs and applications. We will build a software platform to facilitate data-driven methods of analyzing and predicting materials properties. Therefore, we are looking for:
- Application Developer
- Expert on artificial intelligence and machine learning to use and combine existing code, functional programs and applications, using Python, Numba and Tensorflow or Keras libraries

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16 papers in top periodics by NOMATEN's researchers since August 2019

30 July 2021

In two years, since August 2019, NOMATEN's scientists published 16 papers within the most prestigious perdiodic. It means more than one paper per two months, however, a year ago on August 2020 our team consisted of less than 10 researchers. Today over 25 scientists work for NOMATEN and new hires are being planned till the end of 2021.

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NOMATEN develops software for better understanding of microscopy images of materials under extreme conditions

07 July 2021

Large Data is common across materials science. Cross-correlating and understanding data from material surfaces is very important since there is typically a direct connection to physical properties. Also, it is very important to use this data to reconstruct the actual microstructure and perform simulations in a computer at the molecular or larger scale. However, understanding of Large Data requires the application of statistical and machine learning techniques. Further, simulations require efficient microstructural reconstruction techniques. Stefanos Papanikolaou's group at NOMATEN investigates such issues.

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