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Projects / Programmes source: ARIS

4D STEM of energy related materials down to quantum level

Research activity

Code Science Field Subfield
2.04.00  Engineering sciences and technologies  Materials science and technology   

Code Science Field
2.05  Engineering and Technology  Materials engineering 
Keywords
4D STEM, electron ptychography, strain field, electric field, magnetic field, charge density distribution, ferroelectrics, batteries, catalysts, magnets
Evaluation (metodology)
source: COBISS
Points
26,709.28
A''
9,140.79
A'
15,795.57
A1/2
21,070.24
CI10
96,615
CImax
22,550
h10
106
A1
98.47
A3
26.33
Data for the last 5 years (citations for the last 10 years) on March 24, 2026; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  2,387  118,692  109,987  46.08 
Scopus  2,514  128,867  119,356  47.48 
Organisations (2) , Researchers (51)
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  19038  PhD Andreja Benčan Golob  Materials science and technology  Head  2022 - 2026  587 
2.  53798  PhD Jure Brence  Computer science and informatics  Researcher  2022 - 2026  27 
3.  57945  PhD Fabian Allen Burkhardt  Materials science and technology  Researcher  2023 - 2025  21 
4.  53484  PhD Michelangelo Ceci  Computer science and informatics  Researcher  2022 - 2026  24 
5.  52039  Oana Andreea Condurache  Materials science and technology  Young researcher  2022  67 
6.  03937  PhD Miran Čeh  Materials science and technology  Researcher  2022 - 2026  706 
7.  52041  PhD Matjaž Dlouhy  Chemistry  Researcher  2022 - 2024  59 
8.  11130  PhD Sašo Džeroski  Computer science and informatics  Researcher  2022 - 2026  1,297 
9.  54900  Lea Gašparič  Chemistry  Young researcher  2022 - 2026  36 
10.  57060  Boštjan Gec  Computer science and informatics  Researcher  2024 - 2026  11 
11.  57062  Nik Gračanin    Technical associate  2023 - 2026  78 
12.  27919  Barbara Kapun  Chemistry  Technical associate  2022 - 2026  140 
13.  30036  Brigita Kmet    Technical associate  2022 - 2026  182 
14.  33746  Maja Koblar    Technical associate  2022 - 2026  104 
15.  16188  PhD Anton Kokalj  Chemistry  Researcher  2022 - 2026  418 
16.  15654  PhD Matej Andrej Komelj  Materials science and technology  Researcher  2022 - 2026  195 
17.  53530  Ana Kostovska  Computer science and informatics  Researcher  2024 - 2026  57 
18.  60472  PhD Nilesh Kumar  Chemistry  Researcher  2025 - 2026 
19.  35470  PhD Jurica Levatić  Computer science and informatics  Researcher  2022  66 
20.  27800  PhD Zoran Levnajić  Physics  Researcher  2022 - 2026  149 
21.  04587  PhD Barbara Malič  Electronic components and technologies  Researcher  2022 - 2026  1,550 
22.  50070  PhD Matej Martinc  Linguistics  Researcher  2024 - 2026  114 
23.  29547  PhD Mojca Otoničar  Materials science and technology  Researcher  2022 - 2026  207 
24.  27759  PhD Panče Panov  Computer science and informatics  Researcher  2022 - 2026  171 
25.  60016  Martin Perčinić  Computer science and informatics  Researcher  2024 - 2026 
26.  37480  PhD Matic Poberžnik  Chemistry  Researcher  2023 - 2026  80 
27.  33427  PhD Peter Rodič  Chemistry  Researcher  2022 - 2026  244 
28.  24272  PhD Tadej Rojac  Electronic components and technologies  Researcher  2022 - 2026  651 
29.  27820  Tina Ručigaj Korošec    Technical associate  2022 - 2026 
30.  51451  PhD Sorour Semsari Parapari  Materials science and technology  Researcher  2022 - 2023  107 
31.  55800  Vinko Sršan  Materials science and technology  Young researcher  2022 - 2026  13 
32.  57799  PhD Marjan Stoimchev  Computer science and informatics  Researcher  2023 - 2026  28 
33.  19030  PhD Sašo Šturm  Materials science and technology  Researcher  2022 - 2026  743 
34.  28491  PhD Kristina Žagar Soderžnik  Materials science and technology  Researcher  2022 - 2026  244 
35.  54711  Katarina Žiberna  Electronic components and technologies  Researcher  2022 - 2026  80 
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  11517  PhD Marjan Bele  Materials science and technology  Researcher  2022 - 2026  647 
2.  29158  PhD Elena Chernyshova  Physics  Researcher  2022 - 2025  160 
3.  19277  PhD Robert Dominko  Materials science and technology  Researcher  2022 - 2026  905 
4.  02556  PhD Goran Dražić  Materials science and technology  Researcher  2022 - 2026  1,156 
5.  00582  PhD Miran Gaberšček  Materials science and technology  Researcher  2022 - 2026  969 
6.  38256  PhD Matija Gatalo  Chemistry  Researcher  2022 - 2025  156 
7.  30470  PhD Nejc Hodnik  Materials science and technology  Researcher  2022 - 2026  525 
8.  35375  PhD Primož Jovanovič  Chemistry  Researcher  2022 - 2023  208 
9.  27920  Gregor Kapun  Chemistry  Technical associate  2022 - 2026  144 
10.  38631  PhD Anja Kopač Lautar  Materials science and technology  Researcher  2022 - 2023  41 
11.  54667  PhD Alenka Križan  Chemistry  Young researcher  2022 - 2024  12 
12.  28561  PhD Jože Moškon  Materials science and technology  Researcher  2022 - 2026  110 
13.  53615  PhD Luka Pavko  Chemistry  Young researcher  2022 - 2023  58 
14.  52019  PhD Stefan Popović  Materials science and technology  Young researcher  2022 - 2023  19 
15.  37779  PhD Francisco Ruiz Zepeda  Materials science and technology  Researcher  2022 - 2026  298 
16.  14121  PhD Angelja Kjara Surca  Chemistry  Researcher  2023 - 2026  415 
Abstract
In the proposed large interdisciplinary project, we aim to explore the potential of novel 4D STEM techniques application for in-depth characterization of the selected state-of-the-art functional energy-related materials. Li-ion batteries, electrocatalysts, magnetic and ferroelectric materials are found in many of the forefront applications for emerging green technologies. Functional properties of these materials, such as strain, electric and magnetic fields, combined with the variations in the atomic structure and charge density distribution have a decisive influence on the materials application. Among a number of materials characterization techniques that permit to study these properties, scanning transmission electron microscopy (STEM), and, particularly, newly developed 4D STEM approaches, capable to reach down to the quantum level of individual atoms, stand out. In the proposed project we will set up a model material based 4D STEM methodology platform supported by the first principle calculations and machine learning approaches. This methodology will be applied to selected functional energy-related materials for mapping strain and electric field, extracting quantitative information on local magnetic moments, mapping magnetic texture, visualization of light elements under low energy beam conditions and charge density distribution mapping. Gaining broader understanding of structure/functional properties relation in such manner will promote a more considerate approach to the design of novel functional materials with enhanced properties. Our proposed project will combine unique expertise in the fields of applied materials synthesis and characterization, theoretical physics and information technology, stemming from two leading Slovenian research institutes and enriched with ongoing collaborations with a number of European research groups and facilities. Through the exchange of knowledge and know-hows, such interdisciplinary team will help to excel the projects contribution to the field of functional energy-related materials development.
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