4.7 Article

Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Materials Science, Multidisciplinary

Vacancy formation energies and migration barriers in multi-principal element alloys

Ankit Roy et al.

Summary: This study investigates the stability and diffusion barriers of vacancies in high-temperature alloys using density-functional theory and finds that local lattice distortion caused by charge-transfer between neighboring atoms in different chemical environments strongly affects the stability and barriers. The study suggests that (Ti, Zr) elements are more likely to diffuse than (Mo, W) elements under irradiation, indicating the potential for controlling material degradation through tuning the composition of alloying elements.

ACTA MATERIALIA (2022)

Review Energy & Fuels

Review of Gas Turbine Internal Cooling Improvement Technology

Farah Nazifa Nourin et al.

Summary: Effective internal cooling system is crucial for gas turbine blades to prevent rupture and failure due to high firing temperatures. Researchers are working on finding efficient cooling channel design with high transfer and low pressure drop, using both numerical and experimental methods.

JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2021)

Article Chemistry, Physical

Enhanced creep resistance of Ti30Al25Zr25Nb20 high-entropy alloy at room temperature

D. Wang et al.

Summary: The novel Ti30Al25Zr25Nb20 high-entropy alloy exhibits good creep resistance at room temperature, showing high dislocation activation volume and low creep strain rate sensitive index value.

JOURNAL OF ALLOYS AND COMPOUNDS (2021)

Article Materials Science, Multidisciplinary

Efficiently exploiting process-structure-property relationships in material design by multi-information source fusion

Danial Khatamsaz et al.

Summary: Materials design involves exploiting Process-Structure-Property relationships to produce materials with targeted properties. Bayesian Optimization-based frameworks are increasingly used for balancing exploration and exploitation in design spaces. Our expanded framework effectively optimizes the mechanical performance of dual-phase materials by adjusting composition/processing parameters.

ACTA MATERIALIA (2021)

Article Materials Science, Multidisciplinary

Adaptive active subspace-based efficient multifidelity materials design

Danial Khatamsaz et al.

Summary: This study introduces an adaptive active subspace method to efficiently handle high-dimensional design space problems in material design. This method can accelerate the design process by prioritizing searches in important regions of the high-dimensional design space.

MATERIALS & DESIGN (2021)

Article Multidisciplinary Sciences

Bias free multiobjective active learning for materials design and discovery

Kevin Maik Jablonka et al.

Summary: This study utilizes an active learning algorithm and Pareto dominance relation to compute a set of Pareto optimal materials for multi-objective material design. By conducting molecular simulations, the number of materials that need to be evaluated is drastically reduced, enhancing design efficiency.

NATURE COMMUNICATIONS (2021)

Article Physics, Multidisciplinary

Martensitic Transformation in FexMn80-xCo10Cr10 High-Entropy Alloy

P. Singh et al.

Summary: High-entropy alloys and medium-entropy alloys are unique materials in which property relations can be controlled through alloying and chemical disorder. Research has shown that in Fe-Mn-based alloys, the energy difference between face-centered cubic and hexagonal-close-packed phases directly correlates with martensitic transformation and chemical short-range order.

PHYSICAL REVIEW LETTERS (2021)

Article Computer Science, Interdisciplinary Applications

Accelerating computational modeling and design of high-entropy alloys

Rahul Singh et al.

Summary: In this study, a metaheuristic hybrid Cuckoo search (CS) method was used to construct alloy configurational models for high-entropy alloys, enabling efficient computational alloy design. The method allows for global solutions for large, discrete combinatorial optimization problems and has potential applications in real alloys with targeted atomic short-range order.

NATURE COMPUTATIONAL SCIENCE (2021)

Article Materials Science, Multidisciplinary

New Opportunities in Refractory Alloys

N. R. Philips et al.

METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE (2020)

Review Chemistry, Multidisciplinary

Review on Mechanical Thermal Properties of Superalloys and Thermal Barrier Coating Used in Gas Turbines

Sunguk Wee et al.

APPLIED SCIENCES-BASEL (2020)

Article Chemistry, Physical

CALPHAD and rule-of-mixtures: A comparative study for refractory high entropy alloys

Sufyan M. Shaikh et al.

INTERMETALLICS (2020)

Article Chemistry, Multidisciplinary

Constrained Bayesian optimization for automatic chemical design using variational autoencoders

Ryan-Rhys Griffiths et al.

CHEMICAL SCIENCE (2020)

Article Engineering, Mechanical

Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes

Seyede Fatemeh Ghoreishi et al.

JOURNAL OF MECHANICAL DESIGN (2019)

Article Multidisciplinary Sciences

An oxidation resistant refractory high entropy alloy protected by CrTaO4-based oxide

Kai-Chi Lo et al.

SCIENTIFIC REPORTS (2019)

Article Materials Science, Multidisciplinary

Microstructure and elastic constants of AlTiVMoNb refractory high-entropy alloy coating on Ti6Al4V by laser cladding

Lin Chen et al.

MATERIALS RESEARCH EXPRESS (2019)

Article Materials Science, Multidisciplinary

Efficient use of multiple information sources in material design

Seyede Fatemeh Ghoreishi et al.

ACTA MATERIALIA (2019)

Article Engineering, Multidisciplinary

Multi-fidelity classification using Gaussian processes: Accelerating the prediction of large-scale computational models

Francisco Sahli Costabal et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)

Article Computer Science, Interdisciplinary Applications

Multi-information source constrained Bayesian optimization

Seyede Fatemeh Ghoreishi et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)

Article Materials Science, Multidisciplinary

Efficient exploration of the High Entropy Alloy composition-phase space

A. Abu-Odeh et al.

ACTA MATERIALIA (2018)

Review Materials Science, Multidisciplinary

Development and exploration of refractory high entropy alloys-A review

Oleg N. Senkov et al.

JOURNAL OF MATERIALS RESEARCH (2018)

Article Chemistry, Physical

Design of high-strength refractory complex solid-solution alloys

Prashant Singh et al.

NPJ COMPUTATIONAL MATERIALS (2018)

Article Materials Science, Multidisciplinary

Ta-Nb-Mo-W refractory high-entropy alloys: Anomalous ordering behavior and its intriguing electronic origin

Prashant Singh et al.

PHYSICAL REVIEW MATERIALS (2018)

Article Engineering, Mechanical

Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials

Seyede Fatemeh Ghoreishi et al.

JOURNAL OF MECHANICAL DESIGN (2018)

Article Physics, Multidisciplinary

Development of a Refractory High Entropy Superalloy

Oleg N. Senkov et al.

ENTROPY (2016)

Article Physics, Applied

Alloy design for intrinsically ductile refractory high-entropy alloys

Saad Sheikh et al.

JOURNAL OF APPLIED PHYSICS (2016)

Article Chemistry, Physical

Alloy design for aircraft engines

Tresa M. Pollock

NATURE MATERIALS (2016)

Article Multidisciplinary Sciences

Printability of alloys for additive manufacturing

T. Mukherjee et al.

SCIENTIFIC REPORTS (2016)

Article Materials Science, Multidisciplinary

Atomic short-range order and incipient long-range order in high-entropy alloys

Prashant Singh et al.

PHYSICAL REVIEW B (2015)

Article Computer Science, Artificial Intelligence

Quick Hypervolume

Luis M. S. Russo et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)

Article Physics, Multidisciplinary

Tuning Ideal Tensile Strengths and Intrinsic Ductility of bcc Refractory Alloys

Liang Qi et al.

PHYSICAL REVIEW LETTERS (2014)

Article Computer Science, Interdisciplinary Applications

Constrained multifidelity optimization using model calibration

Andrew March et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2012)

Article Engineering, Aerospace

Quantification of Modeling Uncertainty in Aeroelastic Analyses

Matthew E. Riley et al.

JOURNAL OF AIRCRAFT (2011)

Article Computer Science, Interdisciplinary Applications

The weighted sum method for multi-objective optimization: new insights

R. Timothy Marler et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2010)

Article Computer Science, Artificial Intelligence

S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem

Nicola Beume

EVOLUTIONARY COMPUTATION (2009)

Article Engineering, Aerospace

Two-Level Multifidelity Design Optimization Studies for Supersonic Jets

Seongim Choi et al.

JOURNAL OF AIRCRAFT (2009)

Article Nuclear Science & Technology

Including model uncertainty in risk-informed decision making

JM Reinert et al.

ANNALS OF NUCLEAR ENERGY (2006)

Article Computer Science, Interdisciplinary Applications

Adaptive weighted-sum method for bi-objective optimization: Pareto front generation

IY Kim et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2005)

Review Statistics & Probability

Model uncertainty

M Clyde et al.

STATISTICAL SCIENCE (2004)