Selective Area Direct Atomic Processing (μSADALP™) / Nanofabricator™
ATLANT 3D Nanosystems is a global pioneer combining unique advanced technologies from microfabrication and advanced manufacturing to enable atomic layer 3D printing.
Basovizza, Trieste, Italy
www.ceric-eric.eu , http//www.mycol.si/en/frontpage-en/, https://www.ki.si/en/
Visual Control of Temperature Changes
MyCol uses innovative substances and processes to manufacture its products. The colour change technology is based on special dyes. Together with other components and a specific topology it enables the production of inks that irreversibly colour at specific target temperatures with narrow tolerances. Only environmentally friendly components are used.
GSI Ion Track Membranes and nanostructured electrodes
GSI has extensive expertise and technical facilities for fabricating very precise channels in polymer films, so-called ion track membranes, with some highly specific adjustable and controllable parameters. Membranes can be further processed by physical or chemical methods and can serve as template for synthesizing nanowires by electrolytic deposition.
GSI Ion Track Membranes and nanostructured electrodes
GSI has extensive expertise and technical facilities for fabricating very precise channels in polymer films, so-called ion track membranes, with some highly specific adjustable and controllable parameters. Membranes can be further processed by physical or chemical methods and can serve as template for synthesizing nanowires by electrolytic deposition.
SIMAGORA marketplace
A marketplace offering virtual experiments in chemistry, physics and engineering that help companies to reduce and focus physical experiments when they develop products and they want to care about their impact on environment and society. These virtual experiments are developed by the international scientific community.
Accelerated Materials Innovation Through Machine-Learning Assisted Atomistic Modeling
Brief Description of Technology in layman’s terms: Enabling companies to develop new and better materials more quickly through combining atomistic simulations with machine learning. Finding the best candidates for the desired properties more quickly saves time and wasteful resources.
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