Machine Learning Applications in Materials Chemistry: The Rombo AI Approach
Machine learning is turning NMR into a predictive tool for industrial analytics. By applying AI directly to raw NMR spectra, complex mixt...
Welcome to Rombo AI Blog
Perspectives on AI, NMR Spectral Data, and the Future of Materials Analysis.
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Use Case: Accelerating Crude Oil Analysis for a Leading Asian Refinery
At one of Asia’s largest integrated energy companies, refinery R&D teams evaluate hundreds of crude oil feedstocks every day to support p...
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The Future Is Agentic: How AI Agents Bring Back Calm Technology
Tracing a personal and technological journey from Mark Weiser’s vision of ubiquitous, calm computing to today’s emergence of generative A...
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The AI Transformation of Crude Oil Analysis: From Laboratory Bottlenecks to Real-Time Intelligence
The Oil & Gas industry is embracing AI for crude oil analysis. Discover how Rombo AI combines NMR spectroscopy with machine learning to d...
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SpectraML: A framework designed for R&D teams
SpectraML breaks down barriers to Machine Learning adoption with its low-code/no-code approach. Designed for R&D teams, it simplifies dat...
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Esplorazione delle Potenzialità della Spettroscopia NMR nel Settore delle Energie Rinnovabili
Partnerhip con il cluster delle energie rinnovabili per l'esplorazione delle Potenzialità della Spettroscopia...
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Low-Field NMR for Crude Oil Analysis: Harnessing Machine Learning for Predicting Properties
In the oil industry, understanding the properties of crude oil is essential for refining, quality control, and maximizing production effi...
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How Low-Field NMR Works and How Machine Learning Enhances Sample Characterization
Nuclear Magnetic Resonance (NMR) is a powerful analytical technique used to determine the molecular structure and composition of various ...
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