In many laboratories, the procedures and technologies employed are far from being fully digitalized. However, digital solutions can significantly improve the efficiency, quality, and reproducibility of lab-scale experiments and processes.
Although there has been progress in terms of digitalization in lab environments and digital solutions have been introduced for R&D workflows, many steps in experiments are still being carried out manually. These range from operating lab equipment and data acquisition, all the way through to documentation and data evaluation. The large volumes of data from the experiments are rarely collected in an automated and structured way. Instead, they are often recorded and analyzed manually in electronic lab journals or other local and poorly integrated solutions. This slows down the search for specific data and makes it more difficult to merge and analyze it.
The immense backlog in terms of digital transformation in lab environments can be attributed to various obstacles. These include the complexity of the lab systems and the large number of instruments and systems that need to be integrated.
However, digitalization and automation offer a number of decisive advantages for research and development, such as saving time and resources, as well as increasing productivity, reproducibility, and quality.
Publication
How software can be designed holistically to generate, organize, and evaluate “big data” for catalyst research, and why the focus is on high data quality, efficiency in data processing, and reproducibility.
At hte, we have many years of experience in the development of digital technologies and professional software for lab-scale workflows, for example for automatic data acquisition. This enables us to bring in-depth knowledge and best practices to the digital transformation of data handling. At the same time, our software developers have a deep understanding of chemical processes and lab-scale research workflows, and are able to efficiently merge and harmonize data from different sources and formats.
In contrast to pure software solution providers, hte is the world’s leading provider of lab-scale R&D workflows. In addition to the necessary software, our workflows also include innovative lab quipment, precise analytics, and in-depth application knowledge. We understand the requirements of our customers in the refining, chemical, petrochemical, and battery industries, as well as the electrolysis and fuel cell sectors. Our experts support you in developing innovations such as sustainable processes that support ambitious net zero targets.
Accelerate your research with our laboratory systems: We offer you a wide range of test systems for your lab.
Work with us and achieve high-quality results quickly: We offer you various research services in our laboratory with more than 50 test systems.
Work with us to overcome your challenges: With our comprehensive lab-scale R&D workflows, we accelerate your process development and evaluation of new raw materials.
With a secure cloud solution, laboratories can store, process, and analyze data more efficiently. This supports high scalability, cost efficiency, and agility when introducing new systems.
Cybersecurity and protection against hacker attacks are critically important in lab environments. Laboratories must ensure that their systems and data are protected against unauthorized access. At hte, high security standards are part of all digital solutions. This includes safeguards such as user authentication and authorization to ensure that only authorized persons have access to the data intended for them.
AI models can help to evaluate data and gain insights. Uniform structures and formats help make such models widely applicable. AI models could also potentially accelerate materials and process research.
Research and development are important drivers in the pursuit of sustainable use of resources and energy, especially with a view to achieving the ambitious goal of net zero emissions. Digitalization in the laboratory can accelerate research work for sustainability.
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