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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Novel Strategies for Rapid Acquisition and Processing of Large Datasets From Advanced Characterization Techniques
Presentation Title High-Throughput Processing and Accelerated Characterization of Cu–Ti Alloy
Author(s) Rohit Berlia, Piyush Wanchoo, Harrison Park, Alexander deJong, Rayna Mehta, Todd Hufnagel, K.T. Ramesh, Timothy P Weihs
On-Site Speaker (Planned) Rohit Berlia
Abstract Scope In this study, we investigate the effect of precipitate size and volume fraction on the spall strength in Cu-based alloy as a model system. Utilizing a combinatorial approach, we fabricated free-standing, 200 µm thick Cu-Ti alloy foils with compositions spanning from Cu-1 at% Ti to Cu-4 at% Ti. These alloys were homogenized above solvus temperatures, followed by aging to achieve a diverse range of Cu₄Ti precipitate sizes and volume fractions. To rapidly assess the impact of microstructural variations on spall strength, robotically controlled laser shock and transmission X-ray diffraction methods were utilized. This enables spatially resolved, automated measurements across composition and microstructural gradients in localized regions, significantly accelerating data acquisition in a combinatorial framework. XRD offers phase identification and precipitate evolution insights, whereas laser shock experiments provide spall strength measurements under high strain-rate conditions collected from the same measurement sites. Electron microscopy further reveals grain size, precipitate morphology.
Proceedings Inclusion? Planned:
Keywords Mechanical Properties, Characterization, Copper / Nickel / Cobalt

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High-Throughput Exploration of Large Material Design Spaces Using Small Samples and Bayesian Strategies
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