R&D Archives — NICKEFFECT

08 Sep

Data Management for Safe and Sustainable Innovation in NICKEFFECT

Designing next-generation materials that are not only high-performing but also safe and sustainable is an inherently complex task. It requires navigating a landscape marked by interdisciplinary data, multiple stakeholder needs, regulatory constraints, and the urgency to make early-stage design decisions with lasting consequences. In the NICKEFFECT project, these challenges are being met with a powerful data management and decision support infrastructure designed to foster collaboration, improve traceability, and accelerate safe and sustainable innovation. At the heart of this infrastructure lies a dedicated Materials and Processes Information Management System (M&P IMS), deployed using the Ansys Granta MI platform [1], and a modular Decision Support System (DSS). These tools provide secure, structured access to critical information—ranging from experimental performance data to risk assessments and environmental impacts—enabling researchers, sustainability experts, and regulators to make informed choices throughout the R&D process. [caption id="attachment_7429" align="aligncenter" width="576"] Figure 1. The NICKEFFECT M&P IMS interface accessible via browser with...

28 Aug

Smarter, Faster, More Transparent: Active Learning and AI in Materials Design

by Laura Cyrne

in Articles, News

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Materials design remains a very complex challenge in science and engineering, owing to the virtually infinite number of variables such as material composition and synthesis parameters. Traditionally guided by expert intuition and iterative experimentation, the process often involves navigating a multidimensional design space with only fragmentary knowledge, which can be compared to exploring a vast territory with a map that covers only a few percent of the terrain. As a result, identifying optimal material candidates frequently requires extensive trial-and-error, consuming significant time and resources before reaching a viable solution. To accelerate this process, materials scientists are increasingly turning to models based on data to guide their research by prioritizing the next materials to study or synthesis parameters to use. In the last decade, machine learning (ML) has gained popularity in materials design thanks to its efficiency and modularity in using a wide range of datasets, whether theoretical or experimental, large or...

23 May

Industrial Application of Electrodeposition Processes: join NICKEFFECT’s upcoming webinar

by Laura Cyrne

in Articles, News

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NICKEFFECT's upcoming webinar titled "Industrial Application of Electrodeposition Processes", will offer insights into the practical aspects and innovative potential of this technology. Professionals, researchers, and individuals interested in the transition of electrodeposition from laboratory research to industrial implementation are invited to join on 26th May at 10:00 CET. This session will be led by NICKEFFECT Project Coordinator, Dr. Aliona Nicolenco from CIDETEC. Why Attend? Electrodeposition is a versatile technique with applications spanning numerous industries, from automotive and aerospace to electronics and renewable energy. This webinar will bridge the gap between theoretical knowledge and practical industrial challenges, providing valuable insights into how these processes are optimised for real-world scenarios. Webinar Agenda: Welcome and Introduction Key Phenomena in Electrodeposition Mind the Gap: Lab vs. Industry R&D Practical Cases Q&A Meet the Speaker: Dr. Aliona Nicolenco, NICKEFFECT Project Coordinator and Senior Researcher at CIDETEC Surface Engineering, is a leading expert in the electrodeposition of nanostructured materials. Holding a Ph.D....

R&D Tag

Data Management for Safe and Sustainable Innovation in NICKEFFECT

Smarter, Faster, More Transparent: Active Learning and AI in Materials Design

Industrial Application of Electrodeposition Processes: join NICKEFFECT’s upcoming webinar

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