What we focus on

Quantum probablity of an electron's location We believe that research, which is essentially a process of gaining knowledge, will constantly increase in efficiency with advancements in information technology. We identify three key areas critical for the efficiency of research: first, the processing of research data, including evaluation, intelligent pattern matching, detection of interdependencies, and the proposition, incremental correction and verification of scientifc models; second, the process of making research data and results available and accessible, including facilities for the exchange of information related to research; and third, the extent to which research tasks can be undertaken by digital means that greatly enhance the capability to gather, process and distribute research data.

Technological Progess

Our effort to enhance the efficiency of research is focused on pushing the limit of what can be done digitally. Foremost we develop a simulator that is capable of replacing a wide range of laboratory and outdoor experiments by computer simulations. Although this idea isn't new, the scope and accuracy of this simulator set it apart from existing technology. The simulator incorporates a complete set of fundamental laws of physics, is universally adaptable to simulate any possible condition, and is capable of presenting the researcher with a scientifically accurate virtual equivalent of the research subject that could be examined in all details and manipulated without restrictions. Such a simulator can replace the bulk of experiments carried out in pharmaceutical and biotech companies, can simulate conditions in space, low gravity, very high and low temperatures, and can allow for completely new insights in medicine, biology, nanotech, advanced materials research and other discplines.

The technologies required for such a universal super-simulator include innovations in the fields of parallel computing, highly optimized algorithms for modelling quantum mechanics and relativistic physics, and methods for representing systems with a huge number of particles by much less computing intensive terms with only a minimum loss of accuracy.

Backing of Research

A significiant part of the research for SSRC's super-simulator has been undertaken by Mr. Stefan Gollasch, a professional inventor. Mr. Gollasch is equally at home at developing new innovative information technology, including hardware design, system architecture and software for simulation, animation, reality modelling etc., as well as at relativistic physics and quantum mechanics. Both disciplines are essential for a scientifically accurate computer simulation.

Most of Mr. Gollasch's work was done in the 1990s with a minimal budget. Having experienced the hardship of a researcher who tried to convince other people of his ideas without success for years, Mr. Gollasch knows what makes funding of independent research difficult.

SSRC's business model addresses the difficulties that many independent researchers and inventors experience in our modern society. On the one hand research requires time and resources, and a research sponsorship is often the only viable option. A good idea does not necessarily lead to a successful product, and venture capitalists have an aversion against unpredictable risks. Our business model recognizes the fact that in order to tap the potential and immeasurable capital that lies in human creativity and ingenuity to find solutions and new applications of technology, we have to enable researchers to check out a higher number of promising ideas, and to accept that failures are a normal part of the process. On the other hand our experience and know-how enables us to focus on clearly defined practical solutions and research projects that are related to our strategic vision. We create synergies that increase the chance of success.