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The Application of Arfificial Intelligence in Mossbauer Spectoroscopy

Public support

  • Provider

    Technology Agency of the Czech Republic

  • Programme

  • Call for proposals

    STA02024TQ130

  • Main participants

    Iron Analytics s.r.o.

  • Contest type

    VS - Public tender

  • Contract ID

    TQ13000023 - Smlouva o poskytnutí podpory

Alternative language

  • Project name in Czech

    The Application of Arfificial Intelligence in Mossbauer Spectoroscopy

  • Annotation in Czech

    Cílem projektu je studie proveditelnosti, která potvrdí potenciál nového technického řešení, tedy aplikace umělé inteligence při vyhodnocování Mössbuerovských spekter při kontrole kvality produktů s obsahem železa z různých průmyslových odvětví (například farmaceutický a ocelářský průmysl).

Scientific branches

  • R&D category

    AP - Applied research

  • OECD FORD - main branch

    10302 - Condensed matter physics (including formerly solid state physics, supercond.)

  • OECD FORD - secondary branch

    20501 - Materials engineering

  • OECD FORD - another secondary branch

    20506 - Coating and films

  • CEP - equivalent branches <br>(according to the <a href="http://www.vyzkum.cz/storage/att/E6EF7938F0E854BAE520AC119FB22E8D/Prevodnik_oboru_Frascati.pdf">converter</a>)

    BM - Solid-state physics and magnetism<br>JG - Metallurgy, metal materials<br>JK - Corrosion and material surfaces<br>JP - Industrial processes and processing

Completed project evaluation

  • Provider evaluation

    U - Uspěl podle zadání (s publikovanými či patentovanými výsledky atd.)

  • Project results evaluation

    The project task was to prepare a feasibility study that will evaluate the potential of a new technical solution that consists of applying artificial intelligence in evaluating Mössbauer spectra in the quality control of iron-containing products from various industries. It has been proven that innovation in Mössbauer spectroscopy through AIMEE (Artificial Intelligence Mössbauer Effect Evaluator) has the potential to change the way materials analysis is approached. The main breakthrough lies in the ability of AIMEE to simplify the interpretation of complex data. By automating the analytical process, this sophisticated method becomes available even to industries that previously considered it too technically demanding or expensive. It finds practical use in key areas such as corrosion detection, quality control and material integrity assessment. The feasibility study was submitted in sufficient quality and the evaluated project thus fulfilled its assignment.

Solution timeline

  • Realization period - beginning

    Jul 1, 2024

  • Realization period - end

    Dec 31, 2024

  • Project status

    U - Finished project

  • Latest support payment

    Feb 28, 2024

Data delivery to CEP

  • Confidentiality

    C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

  • Data delivery code

    CEP25-TA0-TQ-U

  • Data delivery date

    Jun 26, 2025

Finance

  • Total approved costs

    931 thou. CZK

  • Public financial support

    652 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    313 thou. CZK