Materials Science
The ‘acceleration’ through Concurrent Materials Design is not incremental; it’s transformative.
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AI is reshaping every industry, but scientific research and development—drug discovery, materials innovation, specialty chemicals and more—is about to undergo one of the most profound transformations.
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Since undifferentiated portfolios can no longer deliver required returns for growth, specialty chemical product portfolios and R&D strategies must change.
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The era of the AI Co-Scientist is here. How is your organization preparing?
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Learn how AI Supermodels are allowing for faster, more accurate predictions with far fewer data points.
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Surrogate models are reshaping R&D by making research faster, more cost-effective, and more sustainable.
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As we step into 2025, R&D organizations are bracing for another year of rapid-pace, transformative shifts.
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In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make.
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Leveraging advanced technology like generative AI through digital transformation (not digital enhancement) is how to get the biggest returns in scientific R&D.
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There is much more to digital transformation than technology, and a holistic strategy is crucial for the journey.
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