Wojciech Paszkowicz

Prof. Wojciech Paszkowicz

orcid

Research Focus & Metrics

Academic Career Length

50Years (1977-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2002 in Applied Physics A
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Journal Article
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WPWojciech Paszkowicz
Wojciech Paszkowicz
JPJ.B. Pelka
J.B. Pelka
Michael KnappMichael Knapp
Michael Knapp
TST. Szyszko
T. Szyszko
SPS. Podsiadlo
S. Podsiadlo

1 February 2008 in Journal of Applied Physics
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Journal Article
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EGElżbieta Guziewicz
Elżbieta Guziewicz
IKI. A. Kowalik
I. A. Kowalik
Marek GodlewskiMarek Godlewski
Marek Godlewski
KKK. Kopalko
K. Kopalko
VOV. Osinniy
V. Osinniy
MGM. Guziewicz
M. Guziewicz
We report on the zinc oxide (ZnO) thin films obtained by the atomic layer deposition (ALD) method using diethyl zinc and water precursors, which allowed us to lower deposition temperature to below 200 °C . The so-obtained “as grown” ZnO layers are polycrystalline and show excitonic photoluminescence (PL) at room temperature, even if the deposition temperature was lowered down to 100 °C . Defect-related PL bands are of low intensity and are absent for layers grown at 140−200 °C . This is evidence that extremely low temperature growth by ALD can result in high quality ZnO thin films with inefficient nonradiative decay channels and with thermodynamically blocked self-compensation processes.

20 January 2009 in Materials and Manufacturing Processes
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WPWojciech Paszkowicz
Wojciech Paszkowicz
Genetic algorithms (GAs) are a tool used to solve high-complexity computational problems. Apart from modelling the phenomena occurring in Nature, they help in optimization, simulation, modelling, design and prediction purposes in science, medicine, technology, and everyday life. They can be adapted to the given task, be joined with other ones (this leads to combined or hybrid methods), and can work in parallel on many processors. The uses of GAs reported in literature represent a wide variety of approaches and led to solving of numerous computational problems of high complexity. In materials science and related fields of science and technology the GAs open possibilities for materials design, studies of their properties, or production at industrial scale. Here, the recent use of GAs in various domains connected to materials science, solid state physics and chemistry, crystallography, biology, and engineering is reviewed. The listed examples taken from recent literature show how broad the use of these methods is. Emphasis on description of particular results is put in order to direct the reader's attention to valuable new applications as well as interesting or promising ways of solving specific tasks. Trends in method development and application-field extensions as well as some possible future implications are briefly discussed.

1 May 1999 in Journal of Alloys and Compounds
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RIR.J Iwanowski
R.J Iwanowski
KFK Fronc
K Fronc
WPWojciech Paszkowicz
Wojciech Paszkowicz
MHM Heinonen
M Heinonen

1 November 2004 in Journal of Alloys and Compounds
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Journal Article
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WPWojciech Paszkowicz
Wojciech Paszkowicz
SPS. Podsiadło
S. Podsiadło
RMRoman Minikayev
Roman Minikayev

15 June 2009 in Journal of Applied Physics
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EGElżbieta Guziewicz
Elżbieta Guziewicz
Marek GodlewskiMarek Godlewski
Marek Godlewski
TKT. Krajewski
T. Krajewski
LWLukasz Wachnicki
Lukasz Wachnicki
ASA. Szczepanik
A. Szczepanik
SFS. Ferrari
S. Ferrari
We report on zinc oxide thin films grown by atomic layer deposition at a low temperature, which is compatible with a low thermal budget required for some novel electronic devices. By selecting appropriate precursors and process parameters, we were able to obtain films with controllable electrical parameters, from heavily n -type to the resistive ones. Optimization of the growth process together with the low temperature deposition led to ZnO thin films, in which no defect-related photoluminescence bands are observed. Such films show anticorrelation between mobility and free-electron concentration, which indicates that low n electron concentration is a result of lower number of defects rather than the self-compensation effect.