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Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

npj computational materials, 2019-12, Vol.5 (1), Article 21

2019

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Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Advanced materials (Weinheim), 2018-02, Vol.30 (7), p.n/a

2018

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Role of uncertainty estimation in accelerating materials development via active learning

Journal of applied physics, 2020-07, Vol.128 (1)

2020

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An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Acta materialia, 2017-02, Vol.125 (C), p.532-541

2017

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Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learning

Materials & design, 2022-11, Vol.223, p.111186, Article 111186

2022

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Ferroelectric, elastic, piezoelectric, and dielectric properties of Ba(Ti0.7Zr0.3)O3-x(Ba0.82Ca0.18)TiO3 Pb-free ceramics

Journal of applied physics, 2017-07, Vol.122 (4)

2017

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Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

Advanced science, 2019-11, Vol.6 (21), p.1901395-n/a

2019

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Tailoring thermal expansion coefficient from positive through zero to negative in the compositional crossover alloy Ti50(Pd40Cr10) by uniaxial tensile stress

Materials & design, 2021-02, Vol.199, p.109431, Article 109431

2021

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Material descriptors for morphotropic phase boundary curvature in lead-free piezoelectrics

Applied physics letters, 2017-07, Vol.111 (3)

2017

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Periodic Intermittent Adaptive Control with Saturation for Pinning Quasi-Consensus of Heterogeneous Multi-Agent Systems with External Disturbances

Entropy (Basel, Switzerland), 2023-08, Vol.25 (9), p.1266

2023

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Determining Multi‐Component Phase Diagrams with Desired Characteristics Using Active Learning

Advanced science, 2021-01, Vol.8 (1), p.2003165-n/a

2021

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Unsupervised learning-aided extrapolation for accelerated design of superalloys

npj computational materials, 2024-08, Vol.10 (1), p.171-8, Article 171

2024

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Damping and transformation behaviors of Ti50(Pd50−xCrx) shape memory alloys with x ranging from 4.0 to 5.0

Current Applied Physics, 2018, 18(7), , pp.847-852

2018

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Machine learning combined with feature engineering to search for BaTiO3 based ceramics with large piezoelectric constant

Journal of alloys and compounds, 2022-07, Vol.908, p.164468, Article 164468

2022

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Integrating data mining and machine learning to discover high-strength ductile titanium alloys

Acta materialia, 2021-01, Vol.202, p.211-221

2021

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Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (47), p.13301-13306

2016

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Temperature dependence of deformation behavior, microstructure evolution and fracture mechanism of Inconel 625 superalloy

Journal of alloys and compounds, 2021-07, Vol.869, p.159342, Article 159342

2021

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Machine learning-aided design of LaCe(Fe,Mn,Si)13H-type magnetocaloric materials for room-temperature applications

Journal of alloys and compounds, 2024-10, Vol.1003, p.175746, Article 175746

2024

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Eutectoid lamellar structure strengthened ultra-strong Al13Fe29Co29Ni29 high-entropy alloy

Materials science & engineering. A, Structural materials : properties, microstructure and processing, 2022-10, Vol.856, p.143934, Article 143934

2022

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Serrated flow behavior and microstructure evolution of Inconel 625 superalloy during plane-strain compression with different strain rates

Journal of alloys and compounds, 2021-11, Vol.881, p.160648, Article 160648

2021

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Optimizing Electrocaloric Effect in Barium Titanate-based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis

Acta materialia, 2022-08, Vol.235, p.118054, Article 118054

2022

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High-temperature tensile and creep behaviour of Inconel 625 superalloy sheet and its associated deformation-failure micromechanisms

Materials science & engineering. A, Structural materials : properties, microstructure and processing, 2022-01, Vol.829, p.142152, Article 142152

2022

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Nanoscale B2 precipitation and strengthening behavior in Al0.5CoCrFeNi high-entropy alloy

Materials characterization, 2022-09, Vol.191, p.112156, Article 112156

2022

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Descriptors for phase prediction of high entropy alloys using interpretable machine learning

Journal of materials chemistry. A, Materials for energy and sustainability, 2024-01, Vol.12 (5), p.287-2819

2024

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New insights into the optimisation of the solution heat treatment process and properties of CMSX-4 superalloys

Materials science & engineering. A, Structural materials : properties, microstructure and processing, 2024-01, Vol.890, p.145947, Article 145947

2024

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Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Role of uncertainty estimation in accelerating materials development via active learning

An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learning

Ferroelectric, elastic, piezoelectric, and dielectric properties of Ba(Ti0.7Zr0.3)O3-x(Ba0.82Ca0.18)TiO3 Pb-free ceramics

Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

Tailoring thermal expansion coefficient from positive through zero to negative in the compositional crossover alloy Ti50(Pd40Cr10) by uniaxial tensile stress

Material descriptors for morphotropic phase boundary curvature in lead-free piezoelectrics

Periodic Intermittent Adaptive Control with Saturation for Pinning Quasi-Consensus of Heterogeneous Multi-Agent Systems with External Disturbances

Determining Multi‐Component Phase Diagrams with Desired Characteristics Using Active Learning

Unsupervised learning-aided extrapolation for accelerated design of superalloys

Damping and transformation behaviors of Ti50(Pd50−xCrx) shape memory alloys with x ranging from 4.0 to 5.0

Machine learning combined with feature engineering to search for BaTiO3 based ceramics with large piezoelectric constant

Integrating data mining and machine learning to discover high-strength ductile titanium alloys

Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Temperature dependence of deformation behavior, microstructure evolution and fracture mechanism of Inconel 625 superalloy

Machine learning-aided design of LaCe(Fe,Mn,Si)13H-type magnetocaloric materials for room-temperature applications

Eutectoid lamellar structure strengthened ultra-strong Al13Fe29Co29Ni29 high-entropy alloy

Serrated flow behavior and microstructure evolution of Inconel 625 superalloy during plane-strain compression with different strain rates

Optimizing Electrocaloric Effect in Barium Titanate-based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis

High-temperature tensile and creep behaviour of Inconel 625 superalloy sheet and its associated deformation-failure micromechanisms

Nanoscale B2 precipitation and strengthening behavior in Al0.5CoCrFeNi high-entropy alloy

Descriptors for phase prediction of high entropy alloys using interpretable machine learning

New insights into the optimisation of the solution heat treatment process and properties of CMSX-4 superalloys

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