Mapping pareto fronts for efficient multi-objective materials discovery

• المؤلفون الرئيسيون: Low, Andre Kai Yuan, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Hippalgaonkar, Kedar
• مؤلفون آخرون: School of Materials Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Machine learning; High-throughput experimentation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175894

With advancements in automation and high-throughput techniques, we can tackle more complex multi-objective materials discovery problems requiring a higher evaluation budget. Given that experimentation is greatly limited by evaluation budget, maximizing sample efficiency of optimization becomes cruci...