Design of Ni-based turbine disc superalloys with improved yield strength using machine learning

Computational materials design: Composition optimization to develop novel Ni-based single crystal superalloys

(2021) Bin Xu et al.   COMPUTATIONAL MATERIALS SCIENCE

The Effects of Chemistry Variations in New Nickel-Based Superalloys for Industrial Gas Turbine Applications

(2020) Sabin Sulzer et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Development of Vickers hardness prediction models via microstructural analysis and machine learning

(2020) Sucheta Swetlana et al.   Journal of Materials Science

Coupling physics in machine learning to predict properties of high-temperatures alloys

(2020) Jian Peng et al.   npj Computational Materials

Modeling the effect of temperature on the yield strength of precipitation strengthening Ni-base superalloys

(2019) Weiguo Li et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Machine learning assisted design of high entropy alloys with desired property

(2019) Cheng Wen et al.   ACTA MATERIALIA

Modern data analytics approach to predict creep of high-temperature alloys

(2019) D. Shin et al.   ACTA MATERIALIA

Probabilistic neural network identification of an alloy for direct laser deposition

(2019) B.D. Conduit et al.   MATERIALS & DESIGN

Unsupervised word embeddings capture latent knowledge from materials science literature

(2019) Vahe Tshitoyan et al.   NATURE

High-throughput thermodynamic calculations of phase equilibria in solidified 6016 Al-alloys

(2019) Cong Zhang et al.   COMPUTATIONAL MATERIALS SCIENCE

Computational design of a single crystal nickel-based superalloy with improved specific creep endurance at high temperature

(2019) Edern Menou et al.   COMPUTATIONAL MATERIALS SCIENCE

Grain boundary properties of a nickel-based superalloy: Characterisation and modelling

(2018) E. Alabort et al.   ACTA MATERIALIA

On the nucleation of planar faults during low temperature and high stress creep of single crystal Ni-base superalloys

(2018) X. Wu et al.   ACTA MATERIALIA

An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction

(2018) Xue Jiang et al.   COMPUTATIONAL MATERIALS SCIENCE

Probabilistic design of a molybdenum-base alloy using a neural network

(2018) B.D. Conduit et al.   SCRIPTA MATERIALIA

Controlling an organic synthesis robot with machine learning to search for new reactivity

(2018) Jarosław M. Granda et al.   NATURE

Nanoscale synthesis and affinity ranking

(2018) Nathan J. Gesmundo et al.   NATURE

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Planning chemical syntheses with deep neural networks and symbolic AI

(2018) Marwin H. S. Segler et al.   NATURE

Modeling of thermal deformation behavior near γ′ solvus in a Ni-based powder metallurgy superalloy

(2018) Ming Zhang et al.   COMPUTATIONAL MATERIALS SCIENCE

Design of a nickel-base superalloy using a neural network

(2017) B.D. Conduit et al.   MATERIALS & DESIGN

Quantification of rafting of γ ′ precipitates in Ni-based superalloys

(2016) Lily Nguyen et al.   ACTA MATERIALIA

Machine-learning-assisted materials discovery using failed experiments

(2016) Paul Raccuglia et al.   NATURE

Accelerated search for materials with targeted properties by adaptive design

(2016) Dezhen Xue et al.   Nature Communications

Isolation of optimal compositions of single crystal superalloys by mapping of a material’s genome

(2015) Z. Zhu et al.   ACTA MATERIALIA

On the prediction of the yield stress of unimodal and multimodal γ ′ Nickel-base superalloys

(2015) E.I. Galindo-Nava et al.   ACTA MATERIALIA

Modelling of the influence of alloy composition on flow stress in high-strength nickel-based superalloys

(2014) D.J. Crudden et al.   ACTA MATERIALIA

A modelling approach to yield strength optimisation in a nickel-base superalloy

(2013) D.M. Collins et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Microstructural investigation of thermally aged nickel-based superalloy 718Plus

(2013) Lawrence Whitmore et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

Ranking the Stars: A Refined Pareto Approach to Computational Materials Design

(2013) Kurt Lejaeghere et al.   PHYSICAL REVIEW LETTERS

Analysis of the Chemistry of Ni-Base Turbine Disk Superalloys Using An Alloys-By-Design Modeling Approach

(2012) David J. Crudden et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Detecting Novel Associations in Large Data Sets

(2011) D. N. Reshef et al.   SCIENCE

Alloys-By-Design: Application to nickel-based single crystal superalloys

(2009) R.C. Reed et al.   ACTA MATERIALIA

Strengthening Mechanisms in Polycrystalline Multimodal Nickel-Base Superalloys

(2009) R.W. Kozar et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE