• New process development from lab-scale to production

  One of the main challenges in the new process development is the evolution and translation from laboratory procedures to a process that can be scaled up and run reproducibly in a manufacturing environment.
  
  As complex technological processes are highly nonlinear, design decisions are often based on uncertain and incomplete information, which affects the quality of generated solutions.
  
  Mosaic Portrait provides new objective information about the process systemic relations at each stage of development and identifies optimum settings for all process parameters, including raw materials characteristics and ratios, operational conditions and equipment configurations.

• Structure-activity applications

  Currently available methods face significant computing and functional challenges in the study of structure-properties relations in chemical compounds. These methods heavily rely on the accumulated experience and empirical knowledge base in the subject area. Wide use of assumptions and approximations in these methods results in compromised accuracy and generation of many undesired chemical structures. The major drawback of current methods is in the lack of useful, interpretable and actionable decision rules.
  
  Mosaic Portrait applies completely formal and objective procedures in the analysis of compounds structure, using very simple descriptors. This results in the generation of new specific patterns, which are straightforward, comprehensible and easy to implement. New patterns also provide numerous hypotheses on the structure-activity relationship for further scientific interpretation.
  
  Mosaic Portrait method makes the most efficient use of the available information, thus minimizing the number of bench experiments and providing solid basis for cost-effective, rule-guided systematic “in silico” analysis and design of potential lead compounds with an extremely low level of false-positives.

• Development of new composite materials (plastics, resins, alloys, chemical mixtures, pharmaceuticals, dye preparations, etc.)

  Classical approaches in the design of mixture experiments are limited to a maximum of five factors, and whilst a researcher may conduct preliminary investigations to screen and determine the most significant mixture components, in many cases, the final product properties depend not only on the blend composition, but also on the processing conditions.
  
  Mosaic Portrait technology offers unique procedures, which can evaluate and determine systemic relations within an unlimited number of variables and identify the optimal mixture composition and processing conditions for the production of a new material with a specified set of physical-chemical properties.
  
  Mosaic Portrait methodology provides a significant reduction in costs, time and resources required for new material development.

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