- EvoSmarTec GmbH
- Alfredstraße 81, 45130 Essen
- ceo@evosmartec.de
Contaminated water is a life-threatening problem that may last for generations and collaborative efforts at the global level are needed to tackle this problem. All lives on earth are endangered irrespective of geographical distribution. At our company, we developed membranes designed to exhibit outstanding features to allow for an efficient and economic water treatment system. Our membranes are fabricated at the nanoscale and with our deep knowledge, their properties can be precisely tailored. With our conscious responsibility towards the environment, all used protocols rely on biodegradable polymers. Furthermore, our advocacy policy is parallel to our practical realization of the project. The company founder is the PI of various educational-based programs in collaboration with DAAD that facilitated diploma degrees in water treatment.
In this project, our company is implementing cutting-edge technology to produce foams capable of adsorbing oil from oil-contaminated water. What is unique in our product is the ability of those foams decontaminate the water to a noticeably higher degree compared to counterparts. The developed foams could be easily collected, and we are working on their reusability. Our responsibility towards the environment is pushing us to develop foam to be produced at a very economic level so that it can be afforded by low-income countries as well. the problem of oil spills in open water is triggering us to produce particularly designed foams for such heavy, large amounts of oil. In this project, we concentrate our list of polymers to the biodegradable ones and give great emphasis to elevating the operation cycle per foam. We are also developing foams suited for each oil nature in terms of both viscosity and amount.
Our company is involved in a project that is combining disruptive technology, namely AI and Digital Twin to offer an agile educational platform overcoming infrastructure limitations. In this project we aim to integrate AI to create a vibrant interactive educational environment for the personnel interested in TVET. It is a preparatory phase in their educational journey and thanks to it, the time needed during the real practical training is greatly shortened. The use of those advanced technologies allows knowledge transfer at a global level and learners are familiarized with the situation while resident at home. We strive to generate an interface that largely mimics the real one and target learners in all geographical and economic regions. AI algorithms can personalize learning experiences, providing tailored content and adaptive assessments to meet the individual needs of students. By incorporating AI and digital twin technology into TVET education, institutions can better prepare students for the demands of modern industries and equip them with the skills necessary to excel in technical and vocational careers.
In this project, our company is concerned with innovating the properties of the energy storage materials and devices. Together with strategic partners, we adopt AI techniques such as machine learning, deep learning, and artificial neural networks (ANN) to produce energy storage devices and materials with an outstanding performance in terms of band gap, optoelectronic parameters, and quantum capacitance. The project involves developing algorithms that can analyze large datasets to identify patterns and correlations, enabling the prediction of material properties and device performance. We are also concerned with identifying material compositions and structures that exhibit desired band gap characteristics for energy storage applications. We model complex relationships within materials and devices, leading to precise predictions and optimizations and employ deep learning in tuning optoelectronic parameters by predicting the behavior of materials under varying conditions, enabling the customization of device properties for efficient energy storage. We also adjust quantum capacitance in energy storage materials, and predict the impact of structural modifications on the quantum capacitance and tailoring it for enhanced energy storage performance. We look forward to produce energy storage technologies, including batteries, supercapacitors, and other energy storage systems with new unprecedented properties. Through this project, we help create a greener world.