New Ring Design

Multi-Objective Preferential Bayesian Optimization for Cost, Color, and Weight

This webinar, presented by Chase Katz, Ting Yu Yang, and Parker King, graduate students in Materials Science and Engineering at Texas A&M University, will introduce a customizable ring design framework that balances aesthetic preference, cost, and material properties.

The presenters will demonstrate how they used Thermo-Calc’s Optical Properties Model in the Noble Metal Alloys Model Library to analyze alloys in the Au-Ag-Cu-Pt-Al system and predict color, cost, and weight. Participants will also learn about a Preferential Bayesian Optimization (PBO) framework that allows for interactive alloy customization through user-driven comparisons.

Register today to learn how advanced tools can support modern, user-focused product design.

 

Chase Katz is a Ph.D. student in Materials Science and Engineering at Texas A&M University. He earned his B.S. in the same field at Texas A&M, gaining experience in computational materials science, high-performance computing, and machine learning for materials discovery. His background includes atomistic and micromagnetic simulations, thermodynamic modeling, and data-driven optimization, with internships at MP Materials and contributions to Air Force molecular dynamics projects. His research focuses on integrating computational methods and data science to accelerate alloy discovery.

Ting Yu Yang earned a BS degree in Materials Science and Engineering from Texas A&M University and is currently pursuing a Master of Engineering in the same field. She has professional intern experience in the semiconductor industry as a process engineer, specializing in thin film, epitaxial, and etching processes. Her interests lie in semiconductor materials and processes, with a growing focus on computational and data science approaches to design and optimize manufacturing flow in the fab. 

Parker King is a recent Materials Science and Engineering graduate from Texas A&M University (2025), and is starting his Ph.D. in Materials Science and Engineering this fall, also at Texas A&M. During his undergraduate degree, Parker did research on modelling of complex morphologies for block co-polymers, and did his senior capstone project on direct energy deposition of NiTi shape memory alloy. He is interested in continuing working with direct energy deposition for his Ph.D.