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
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:
of tasks in multi-dimensional experimental spaces;
visualization in multi-dimensional experimental spaces
(the number of virtual experimental points can exceed
key R+D areas are as follows:
of heterogeneous catalysts,
of new materials (modified nanotubes,
ceramics, sensors, membranes, adsorbents)
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.