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相关论文: Double-tough and ultra-strong ceramics: leveraging…

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To overcome the brittleness limitation of ceramics, various toughening mechanisms have been proposed. Some of the most remarkable, especially for oxides, include the tetragonal-to-monoclinic phase transformation leading to crack shielding…

材料科学 · 物理学 2025-01-23 Jian Zhang , Francesco Aiello , Mauro Salazar , Diletta Giuntini

The development of damage-resistant structural materials that can withstand harsh environments is a major issue in materials science and engineering. Bioinspired brick-and-mortar designs have recently demonstrated a range of interesting…

We propose a novel approach to optimize the design of heterogeneous materials, with the goal of enhancing their effective fracture toughness under mode-I loading. The method employs a Gaussian processes-based Bayesian optimization framework…

最优化与控制 · 数学 2023-03-29 Sukhminder Singh , Lukas Pflug , Julia Mergheim , Michael Stingl

Zirconia ceramics have been known as a structural material with high fracture toughness and strength since Garvie et al. discovered phase transformation toughening in 1975 [1]. Although these mechanical properties are the most excellent…

材料科学 · 物理学 2021-12-30 Koji Matsui , Kouhei Hosoi , Bin Feng , Hidehiro Yoshida , Yuichi Ikuhara

We introduce Bayesian optimization, a technique developed for optimizing time-consuming engineering simulations and for fitting machine learning models on large datasets. Bayesian optimization guides the choice of experiments during…

机器学习 · 统计学 2017-11-22 Peter I. Frazier , Jialei Wang

We introduce a computational method to optimize target physical properties in the full configuration space regarding atomic composition, chemical stoichiometry, and crystal structure. The approach combines the universal potential of the…

材料科学 · 物理学 2025-03-03 Guanjian Cheng , Xin-Gao Gong , Wan-Jian Yin

Designing metallic glasses in silico is a major challenge in materials science given their disordered atomic structure and the vast compositional space to explore. Here, we tackle this challenge by finding optimal compositions for target…

材料科学 · 物理学 2024-11-11 Tero Mäkinen , Anshul D. S. Parmar , Silvia Bonfanti , Mikko J. Alava

High strength and high toughness are usually mutually exclusive in engineering materials. Improving the toughness of strong but brittle materials like ceramics thus relies on the introduction of a metallic or polymeric ductile phase to…

Bayesian optimization is used in many areas of AI for the optimization of black-box processes and has achieved impressive improvements of the state of the art for a lot of applications. It intelligently explores large and complex design…

材料科学 · 物理学 2021-08-03 Lars Kotthoff , Hud Wahab , Patrick Johnson

The buildings and construction sector is a significant source of greenhouse gas emissions, with cement production alone contributing 7~\% of global emissions and the industry as a whole accounting for approximately 37~\%. Reducing emissions…

计算工程、金融与科学 · 计算机科学 2025-10-10 Heine Havneraas Røstum , Joseph Morlier , Sebastien Gros , Ketil Aas-Jakobsen

Dielectric structures composed of many inclusions that manipulate light in ways the bulk materials cannot are commonly seen in the field of metamaterials. In these structures, each inclusion depends on a set of parameters such as location…

计算物理 · 物理学 2019-03-05 Boaz Blankrot , Clemens Heitzinger

The architectures of biological hard materials reveal finely tailored complex assemblies of mineral crystals. Numerous recent studies associate the design of these local assemblies with impressive macroscopic response. Reproducing such…

材料科学 · 物理学 2018-07-13 Hortense Le Ferrand , Florian Bouville , André R. Studart

We present new multi-test Bayesian optimization models and algorithms for use in large scale material screening applications. Our screening problems are designed around two tests, one expensive and one cheap. This paper differs from other…

机器学习 · 统计学 2020-09-14 James Hook , Calum Hand , Emma Whitfield

The development of new materials and structures for extreme conditions including impact remains a continuing challenge despite steady advances. Design is currently accomplished using a sequential approach: an optimal material is first…

材料科学 · 物理学 2021-06-14 Xingsheng Sun , Burigede Liu , Kaushik Bhattacharya , Michael Ortiz

Ceramics are easy to break, and very few generic mechanisms are available for improving their mechanical properties, e.g., the 1975-discovered anti-fracture mechanism is strictly limited to zirconia and hafnia. Here we report a general…

材料科学 · 物理学 2021-02-02 Haidong Bian , Quanfeng He , Junhua Luan , Yu Bu , Yong Yang , Zhengtao Xu , Jian Lu , Yang Yang Li

In this study, we propose a novel microstructure-sensitive Bayesian optimization (BO) framework designed to enhance the efficiency of materials discovery by explicitly incorporating microstructural information. Traditional materials design…

材料科学 · 物理学 2025-02-07 Danial Khatamsaz , Vahid Attari , Raymundo Arroyave

In this paper, a synergistic computational/experimental approach is presented for the rapid discovery and characterization of novel alloys within the compositionally complex (i.e., "medium/high entropy") refractory alloy space of…

Cortical bone is a tough biological material composed of tube-like osteons embedded in the organic matrix surrounded by weak interfaces known as cement lines. The cement lines provide a microstructurally preferable crack path, hence…

应用物理 · 物理学 2024-05-24 Shashank Gupta , Reza Moini

Achieving a balance between low density, high strength, and good ductility remains a major challenge in the development of structural materials. Ti-based bulk metallic glasses (BMGs) have attracted considerable attention due to their…

材料科学 · 物理学 2026-05-13 Zhengqing Cai , Zijing Li , Shidong Feng , Limin Wang , Riping Liu

In this work, geometry optimization of mechanical truss using computer-aided finite element analysis is presented. The shape of the truss is a dominant factor in determining the capacity of load it can bear. At a given parameter space, our…

应用统计 · 统计学 2023-07-04 Bhawani Sandeep , Surjeet Singh , Sumit Kumar
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