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Accelerating Numerical Methods with AI-Based Surrogate Models
Value Proposition: Efficient modeling of dynamic phenomena with negligible error rates below 1% Reduced computational demand, not dependent on large datasets Utility across different domains and scalable to multiscale challenges Applicable to life sciences, material science, and engineering sectors Unmet Need: Accurate modeling of material...
Published: 6/27/2025
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Inventor(s):
Somdatta Goswami
,
Wei Wang
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Category(s):
Copyright
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Technology Classifications > Engineering Tech
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Technology Classifications > Industrial Tech
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Technology Classifications > Research Tools
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Technology Classifications > Computers, Electronics & Software > Artificial Intelligence
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Technology Classifications > Computers, Electronics & Software > Algorithms
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Technology Classifications > Computers, Electronics & Software > Machine Learning
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Technology Classifications > Industrial Tech > Materials
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Technology Classifications > Computers, Electronics & Software
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Technology Classifications > Engineering Tech > Industrial Manufacturing
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