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Enhancement of the selectivity of MXenes (M 2 C, M = Ti, V, Nb, Mo) via oxygen-functionalization: promising materials for gas-sensing and -separation

Physical chemistry chemical physics : PCCP, 2018, Vol.20 (9), p.6073-6082

2018

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Concurrent nucleation, formation and growth of two intermetallic compounds (Cu6Sn5 and Cu3Sn) during the early stages of lead-free soldering

Acta materialia, 2012-02, Vol.60 (3), p.923-934

2012

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A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels

Journal of materials science, 2017-09, Vol.52 (18), p.11048-11076

2017

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Early stages of intermetallic compound formation and growth during lead-free soldering

Acta materialia, 2010-08, Vol.58 (14), p.4900-4910

2010

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The Inverse Phase Stability Problem as a Constraint Satisfaction Problem: Application to Materials Design

JOM (1989), 2016-05, Vol.68 (5), p.1385-1395

2016

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Multiphase Field Simulations of Intermetallic Compound Growth During Lead-Free Soldering

Journal of electronic materials, 2009-12, Vol.38 (12), p.2525-2533

2009

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TEM study of structural and microstructural characteristics of a precipitate phase in Ni-rich Ni–Ti–Hf and Ni–Ti–Zr shape memory alloys

Acta materialia, 2013-09, Vol.61 (16), p.6191-6206

2013

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Confinement Effects on Evolution of Intermetallic Compounds During Metallurgical Joint Formation

Journal of electronic materials, 2014-07, Vol.43 (7), p.2510-2520

2014

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Computational Investigation of the Evolution of Intermetallic Compounds Affected by Microvoids During the Solid-State Aging Process in the Cu-Sn System

Journal of electronic materials, 2013-06, Vol.42 (6), p.999-1009

2013

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Functionally Graded Materials through robotics-inspired path planning

Materials & design, 2019-11, Vol.182, p.107975, Article 107975

2019

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A deep neural network regressor for phase constitution estimation in the high entropy alloy system Al-Co-Cr-Fe-Mn-Nb-Ni

npj computational materials, 2023-04, Vol.9 (1), p.68-14, Article 68

2023

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Enhancement of the selectivity of MXenes (M2C, M = Ti, V, Nb, Mo) via oxygen-functionalization: promising materials for gas-sensing and -separationElectronic supplementary information (ESI) available. See DOI: 10.1039/c7cp08622a

2018-02

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An inverse design framework for prescribing precipitation heat treatments from a target microstructure

Materials & design, 2016-10, Vol.107, p.7-17

2016

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Efficient exploration of the High Entropy Alloy composition-phase space

Acta materialia, 2018-06, Vol.152, p.41-57

2018

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Autonomous efficient experiment design for materials discovery with Bayesian model averaging

Physical review materials, 2018-11, Vol.2 (11), Article 113803

2018

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Phase-field simulations of intermetallic compound growth in Cu/Sn/Cu sandwich structure under transient liquid phase bonding conditions

Acta materialia, 2012-10, Vol.60 (18), p.6278-6287

2012

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Controlling martensitic transformation characteristics in defect-free NiTi shape memory alloys fabricated using laser powder bed fusion and a process optimization framework

Acta materialia, 2021-08, Vol.215, p.117017, Article 117017

2021

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Competing Interactions between Mesoscale Length-Scales, Order-Disorder, and Martensitic Transformation in Ferromagnetic Shape Memory Alloys

Acta materialia, 2021-03, Vol.206, p.116616, Article 116616

2021

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Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach

Movement disorders, 2021-12, Vol.36 (12), p.2862-2873

2021

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Data-driven shape memory alloy discovery using Artificial Intelligence Materials Selection (AIMS) framework

Acta materialia, 2022-04, Vol.228, p.117751, Article 117751

2022

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High throughput exploration of the oxidation landscape in high entropy alloys

Materials horizons, 2022-10, Vol.9 (1), p.2644-2663

2022

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Phase-field simulations of intermetallic compound evolution in Cu/Sn solder joints under electromigration

Acta materialia, 2013-11, Vol.61 (19), p.7142-7154

2013

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Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling

Acta materialia, 2019-02, Vol.164, p.636-647

2019

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A Sensory Material Approach for Reducing Variability in Additively Manufactured Metal Parts

Scientific reports, 2017-06, Vol.7 (1), p.3604-12, Article 3604

2017

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Development of a kinetic model for bainitic isothermal transformation in transformation-induced plasticity steels

Acta materialia, 2013-05, Vol.61 (8), p.2884-2894

2013

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Enhancement of the selectivity of MXenes (M 2 C, M = Ti, V, Nb, Mo) via oxygen-functionalization: promising materials for gas-sensing and -separation

Concurrent nucleation, formation and growth of two intermetallic compounds (Cu6Sn5 and Cu3Sn) during the early stages of lead-free soldering

A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels

Early stages of intermetallic compound formation and growth during lead-free soldering

The Inverse Phase Stability Problem as a Constraint Satisfaction Problem: Application to Materials Design

Multiphase Field Simulations of Intermetallic Compound Growth During Lead-Free Soldering

TEM study of structural and microstructural characteristics of a precipitate phase in Ni-rich Ni–Ti–Hf and Ni–Ti–Zr shape memory alloys

Confinement Effects on Evolution of Intermetallic Compounds During Metallurgical Joint Formation

Computational Investigation of the Evolution of Intermetallic Compounds Affected by Microvoids During the Solid-State Aging Process in the Cu-Sn System

Functionally Graded Materials through robotics-inspired path planning

A deep neural network regressor for phase constitution estimation in the high entropy alloy system Al-Co-Cr-Fe-Mn-Nb-Ni

Enhancement of the selectivity of MXenes (M2C, M = Ti, V, Nb, Mo) via oxygen-functionalization: promising materials for gas-sensing and -separationElectronic supplementary information (ESI) available. See DOI: 10.1039/c7cp08622a

An inverse design framework for prescribing precipitation heat treatments from a target microstructure

Efficient exploration of the High Entropy Alloy composition-phase space

Autonomous efficient experiment design for materials discovery with Bayesian model averaging

Phase-field simulations of intermetallic compound growth in Cu/Sn/Cu sandwich structure under transient liquid phase bonding conditions

Controlling martensitic transformation characteristics in defect-free NiTi shape memory alloys fabricated using laser powder bed fusion and a process optimization framework

Competing Interactions between Mesoscale Length-Scales, Order-Disorder, and Martensitic Transformation in Ferromagnetic Shape Memory Alloys

Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach

Data-driven shape memory alloy discovery using Artificial Intelligence Materials Selection (AIMS) framework

High throughput exploration of the oxidation landscape in high entropy alloys

Phase-field simulations of intermetallic compound evolution in Cu/Sn solder joints under electromigration

Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling

A Sensory Material Approach for Reducing Variability in Additively Manufactured Metal Parts

Development of a kinetic model for bainitic isothermal transformation in transformation-induced plasticity steels

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