CIC energiGUNE has outlined its approach to reducing uncertainty as energy materials move from laboratory discovery toward industrialization. The research center is developing MAITENA, the Materials Acceleration and Innovation Platform for Energy Applications, which combines automated synthesis, high-throughput experimentation, characterization, data management, modeling and artificial intelligence.
According to CIC energiGUNE, conventional experimental campaigns can require substantial time and resources because combinations of compositions, raw materials and synthesis conditions create a broad experimental space. Some parameters may also remain unnoticed at laboratory scale before becoming constraints during industrialization.
The organization said computational screening can prioritize candidates before laboratory work begins. High-throughput methods can then systematically assess multiple compositions and synthesis conditions, while automation supports controlled protocols and reproducible results. As datasets grow, advanced analysis and AI can help identify relationships among composition, processing and performance to guide further experiments.
The approach is intended to identify stability, reproducibility and processability limitations earlier in development. Rather than automatically discarding a material that loses performance, researchers can investigate the cause and adjust its composition, raw materials or synthesis process. Advanced characterization, including measurements taken while a material is operating, can also help identify degradation mechanisms.
For battery materials, development must continue beyond powder-level performance to electrode processing and cell validation. CIC energiGUNE noted that low-concentration impurities, microstructure variations and crystal defects can affect cell stability and cycle life in practical applications. Understanding these relationships across scale-up stages is necessary to establish material specifications and support reproducible production.
CIC energiGUNE’s capabilities cover initial material design and screening, synthesis, characterization, mechanism analysis, optimization and scale-up. The work can subsequently continue through electrode manufacturing, prototyping and cell validation, allowing candidates to be assessed for both laboratory performance and their potential for integration into practical applications.
Source: cicenergigune.com
