Services

---

5Matter Lab provides AI-enabled materials characterization to extract quantitative insight from complex materials datasets. We integrate advanced experimental techniques with machine learning and multimodal data analytics to support materials discovery, performance optimization, and failure analysis. 

• Microscopy and imaging data analysis (SEM, TEM, STEM, FIB-SEM, micro-CT, optical)
   
• Spectroscopy and surface chemistry analysis (EDS, EELS, XPS, Raman, FTIR)
   
• Microstructure and composition quantification
   
• Multimodal data integration and visualization
   
• Structure–property–performance correlation
   
• Degradation and failure analysis

 5Matter Lab develops AI-enabled data analytics workflows to extract insight from complex scientific and engineering datasets. We combine machine learning, data science, and domain expertise to support materials discovery, performance prediction, and data-driven decision-making.

• Machine learning and deep learning model development
   
• Automated image and spectrum analysis (computer vision for materials data)
   
• Multimodal data fusion and integration across characterization techniques
   
• Feature extraction and quantitative data mining
   
• Structure–property–performance modeling
   
• Predictive analytics for materials design and optimization
   
• Degradation, reliability, and lifetime modeling
   
• Custom AI pipelines and software tools for R&D workflows
   
• Data visualization, dashboards, and reporting tools

 5Matter Lab provides research and development consulting and collaborative research services to accelerate materials innovation and technology translation. We work with industry, academia, and government partners to design research programs, analyze data, and develop data-driven solutions for advanced materials challenges.

• Collaborative research program design and execution
   
• Sponsored research and industry–academia partnerships
   
• Materials development and technology optimization studies
   
• Experimental design and data-driven research strategies
   
• AI-assisted materials discovery and screening workflows
   
• Performance and degradation studies for materials systems
   
• Technology translation and scale-up support
   
• Technical consulting for materials R&D and manufacturing
   
• Proposal development and SBIR/STTR research collaboration

 5Matter Lab provides data-driven failure analysis and degradation studies to understand materials performance, reliability, and lifetime. We integrate advanced characterization with AI-enabled analytics to identify degradation mechanisms and support materials optimization and risk mitigation.

• Failure root-cause analysis and diagnostics
   
• Degradation mechanism identification and modeling
   
• Microstructure and composition evolution analysis
   
• Performance and lifetime prediction modeling
   
• AI-driven trend detection and anomaly analysis
   
• Reliability and durability assessment for materials systems
   
• Correlation of processing, structure, and failure behavior
   
• Data-driven recommendations for materials improvement
   
• Reporting and technical documentation for R&D and industry