Estimation of composite material properties using an inverse approach
Juha Riippi; Alexandre Halbach; Valtteri Lahtinen; Asser Lähdemäki; Andrew Tweedie
Key takeaways
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Inverse problems help estimate material properties by minimizing the difference between simulations and experimental data.
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With an API-driven workflow, Quanscient Allsolve automates this process, reducing manual work and speeding up optimization.
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Quanscient Allsolve runs simulations in the cloud with parallel computing, significantly reducing processing time.
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The optimized material properties closely matched experimental data, improving simulation reliability in this case..
