The list of international projects SAS
Centre for Advanced Materials Application SAS
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Aplikácia založeného na údajoch smerom k inžinierstvu funčných materiálov: otvorená sieť
Viral RNA-protein interaction on graphene-based field effect transistors as a new avenue for viral surveillance
Interakcia vírusovej RNA-proteínu na tranzistoroch s efektom poľa na báze grafénu ako nová cesta pre dohľad nad vírusmi
Beyond 27% perovskite solar cells: A deep study based on in-situ charge dynamics and crystal growth kinetics
Perovskitové solárne články s účinnosťou nad 27%: Hĺbková štúdia založená na in-situ dynamike náboja a kinetike rastu kryštálov
| Duration: |
1.10.2023 - 30.9.2026 |
| Program: |
JRP |
| Project leader: |
RNDr. Mrkývková Naďa PhD. |
| Annotation: | The aim of this project is to develop high-performance and robust FAPbI3-based solar cells with efficiencies in excess of 27% and to study the phase conversion, charge carrier dynamics and loss mechanisms occurring in the solar cell, using the expertise of all partners. |
Ceramic Anode Host Material For confined Sodium Plating
Porézny keramický anódový materiál pre sodíkové pokovovanie
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Tuholátková lítiová batéria s in situ hybridným elektrolytom
Solid-statE lithium metal bAttery wiTh in situ hyBrid ELecTrolyte Hop-On
Tuholatková lítiová kovová batéria s in situ hybridným elektrolytom
| Duration: |
1.6.2022 - 31.5.2026 |
| Program: |
Horizon Europe |
| Project leader: |
Dr. rer. nat. Šiffalovič Peter DrSc. |
| Annotation: | Electric vehicles are powered by batteries, which are the most important part. But the demand for electric vehicles is increasing so fast that it will soon outpace battery cell production. The EU-funded SEATBELT project will help to pave the road towards a cost-effective, robust all-solid-state lithium battery comprising sustainable materials by 2026. Specifically, it will achieve the first technological milestone of developing a battery cell that meets the needs of the electric vehicle industry. The low cost cell will be safe by design with sustainable and recyclable materials, reaching high energy densities and long cyclability in line with the 2030 EU targets. The project will be the start point of the first EU all solid-state battery value chain. |
Sustainable High-Voltage Batteries Based on Hybrid Cathodes Enabling Dual-Ion Energy Storage
Udržateľné vysoko-napäťové batérie založené na hybridných katódach umožňujúce uskladanie energie pomocou duálnych iónov
AI-Driven Enhancement of Surface Scattering Data for Open Science Platforms Across Europe
Vylepšovanie údajov o povrchovom rozptyle založené na umelej inteligencii pre platformy otvorenej vedy v Európe
| Duration: |
1.12.2024 - 30.11.2026 |
| Program: |
Horizon Europe |
| Project leader: |
RNDr. Mrkývková Naďa PhD. |
| Annotation: | The AI-SCOPE project engages the European photon and neutron science community to enhance the frequency and quality of FAIR-compliant data submissions to EOSC-indexed databases such as ESRF data portal or Zenodo, which currently only feature on the order of 100 entries in surface
scattering. Our tri-national team will introduce a sophisticated AI analysis tool for surface scattering experiments that not only performs an automated initial analysis but simultaneously generates rich metadata annotations. This dual capability incentivizes researchers to utilize the tool, as it streamlines their workflow and gives “live” feedback during experimental sessions at large scale facilities (“beamtimes”) to avoid wasted time at research infrastructures. Crucially,
the AI-tool will be designed to use AI to estimate structural sample parameters (like film thickness, material densities, contact planes and unit cell dimensions) and input these into the database using standardized metadata formats. This feature ensures the database can be searched for specific materials and structures from the automated AI analysis, thereby avoiding the pitfalls of a hard-to-use raw data dump and increasing reusability within the scientific ecosystem of EOSC / PaNOSC. The project, therefore, stands to dramatically enhance data FAIRness and beamtime efficiency. Moreover, the three collaborating research groups will rigorously apply the tool to a diverse array of their pre-existing scattering data from a multitude of sample types. This will result in the creation of a well-curated dataset with detailed annotations in EOSC-indexed databases, laying the groundwork as a resource for future research endeavors in AI-guided materials discovery. Both our AI-tool and the curated database will unlock new possibilities for data reuse and collaborative scientific exploration of X-ray and neutron data with machine learning. |
DEVELOPMENT OF OPERANDO TECHNIQUES AND MULTISCALE MODELLING TO FACE THE ZEROEXCESS SOLID-STATE BATTERY CHALLENGE
VÝVOJ OPERANDO TECHNÍK A VIACROZMERNÉHO MODELOVANIA S CIEĽOM ČELIŤ VÝZVE TÝKAJÚCEJ SA BEZANÓDOVÝCH PEVNOLÁTKOVÝCH BATÉRIÍ
| Duration: |
1.6.2023 - 31.5.2026 |
| Program: |
Horizon Europe |
| Project leader: |
Dr. rer. nat. Šiffalovič Peter DrSc. |
| Annotation: | Green, high-performing and safe batteries based on abundant materials are a key element in the transition to a carbon-neutral future. However, to accelerate
their development, a deep understanding of the complex electro-chemo-mechanical processes within the battery is required, which is only accessible through
advanced experimental and computational methods. Zero-excess solid-state batteries, where the anode is formed in situ, have emerged as a promising new generation of environmentally friendly batteries with high energy density, improved safety and higher cost-efficiency, but only after solutions for non-uniform anode formation were found. |
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Vývoj operando techník a viacrozmerného modelovania s cieľom reagovať na výzvu týkajúcu sa tuholátkových batérií bez prebytku lítia
The total number of projects: 10
