ADVANCED MATERIALS & PROCESSES | OCTOBER 2023 43 SMJ HIGHLIGHTS Shape Memory and Superelasticity: Advances in Science and Technology (SMJ) is the official journal of the International Organization on Shape Memory and Superelastic Technologies (SMST), an affiliate society of ASM International. The journal publishes original peer-reviewed papers that focus on shape memory materials research with contributions from materials science, experimental and theoretical mechanics, physics with cognizance of the chemistry, underlying phases, and crystallography. It also provides a forum for researchers, scientists, and engineers of varied disciplines to access information about shape memory materials. The first article was taken from our March 2023 issue and was part of a special topical focus on Cardiovascular Nitinol Medical Devices. The second was from the June 2023 special issue honoring Prof. Kazuhiro Otsuka for his 50 years of research on shape memory alloys and his 85th birthday. They were selected by Editor-in-Chief Huseyin Sehitoglu. SMJ is available through springerlink.com. For more information, visit asminternational.org/web/smst. March 2023 ADVANCING NITINOL IMPLANT DESIGN AND SIMULATION THROUGH DATA-DRIVEN METHODOLOGIES Harshad M. Paranjape Recent advances in the data science methods for acquiring and analyzing large amounts of materials deformation data have the potential to tremendously benefit Nitinol (nickel–titanium shape memory alloy) implant design and simulation. The article reviews some of these data-driven methodologies and provides a perspective on adapting these techniques to Nitinol design and simulation. The author organizes the review in a three-tiered approach. The methods in the first tier relate to data acquisition. It reviews methods for acquiring full-field deformation data from implants and methods for quantifying uncertainty in such data. The second-tier methods relate to combining data from multiple sources to gain a holistic understanding of complex deformation phenomena such as fatigue. Methods in the third tier relate to making data-driven simulation of the deformation response of Nitinol. A wide adaptation of these methods by the Nitinol cardiovascular implant community may be facilitated by building consensus on best practices and open exchange of computational tools (Fig. 1). Fig. 1 — An example three-tiered approach to incorporating data-driven methods in the modeling and simulation of Nitinol mechanics. 1 1
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