Combitech-Nanotech (CTNT) Kft. was founded in December 2007 and commenced operations in February 2008. CTNT is an independent, privately-held high-science, high-technology SME. The company was established specifically to introduce its informatic platform ”Holographic Research Strategy” (HRS) for companies and laboratories interested and involved in high-throughput materials research. HRS was developed to accelerate the discovery of new materials by means of fast optimization of the properties of new materials or compositions. CTNT is strongly involved in the validation and analysis of results obtained in multi-dimensional experimental spaces using information mining and visualizations tools. Its activity is strongly related to the use of high-throughput experimental methods. CTNT focuses on analysis of results obtained in the field of combinatorial heterogeneous catalysis and combinatorial materials research.
The industrial impact of materials research is constantly increasing. There is a permanent need for new aterials with well-designed properties. It requires new research strategies, new research tools and methodology, fast optimization, excellent prediction and good visualization. This type of research plays a critical impact on the development of new processes for sustainable development. In this respect the importance of .hydrogen technologies. has to be emphasized.
Our mission is to offer computational R+D services in combinatorial and high-throughput materials research in order to perform the preparation, testing and analysis of materials in faster, reliable and cheaper way by using our new informatic tools and methodology. CTNT has been founded by Prof. József L. Margitfalvi and Mr. Lajos Végvári. After almost 40 years within the academic research Jozsef L. Margitfalvi left his academic position and created this new enterprise. Mr. Lajos Végvári has 25 years background in the area of informatics and hardware design.

HRS - Holographic Research Strategy - controls all events in high throughput materials research and it is the basis for the following tasks and services:

  • optimization of tasks in multi-dimensional experimental spaces;
  • data mining;
  • data visualization in multi-dimensional experimental spaces
    (the number of virtual experimental points can exceed 1.000.000).

CTNT.s key R+D areas are as follows:

  • optimization of heterogeneous catalysts,
  • optimization of new materials (modified nanotubes,
  • coatings, ceramics, sensors, membranes, adsorbents)
  • process optimization
  • information mining

HRS provides higher optimization rate than any existing method (Genetic Algorithm, DOE, etc.), better prediction and visualization ability. In this way it is possible establishing relationship and synergism between different experimental variables in a multidimensional space.