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A Tool to Measure Young Adults' Food Intake: Design and Development of an Australian Database of Foods for the Eat and Track Smartphone App

JMIR mHealth and uHealth, 2018-11, Vol.6 (11), p.e12136-e12136

2018

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Selenophosphate synthetase 1 deficiency exacerbates osteoarthritis by dysregulating redox homeostasis

Nature communications, 2022-02, Vol.13 (1), p.779-779, Article 779

2022

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Efficient Atomic-Resolution Uncertainty Estimation for Neural Network Potentials Using a Replica Ensemble

The journal of physical chemistry letters, 2020-08, Vol.11 (15), p.6090-6096

2020

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Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials

npj computational materials, 2021-08, Vol.7 (1), p.1-9, Article 131

2021

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Applications and training sets of machine learning potentials

Science and technology of advanced materials. Methods, 2023-12, Vol.3 (1)

2023

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The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study

Nutrients, 2021-05, Vol.13 (6), p.1761

2021

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The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study

Nutrients, 2022-09, Vol.14 (18), p.3751

2022

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Compression Stocking Length Effects on Oedema, Pain, and Satisfaction in Nursing Students: A Pilot Randomized Trial

Healthcare (Basel), 2020-05, Vol.8 (2), p.149

2020

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Modified Activation-Relaxation Technique (ARTn) Method Tuned for Efficient Identification of Transition States in Surface Reactions

Journal of chemical theory and computation, 2024-09, Vol.20 (18), p.8024-8034

2024

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Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning

Computational materials science, 2024-02, Vol.234, p.112783, Article 112783

2024

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Disorder-Dependent Li Diffusion in Li6PS5Cl Investigated by Machine-Learning Potential

ACS applied materials & interfaces, 2024-09, Vol.16 (35), p.46442-46453

2024

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Analysis on the Effects of Financial Inclusion and Causes of Digital Financial Exclusion

CONSUMER POLICY AND EDUCATION REVIEW, 2024-09, Vol.20 (3), p.1-25

2024

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Disorder-Dependent Li Diffusion in Li 6 PS 5 Cl Investigated by Machine-Learning Potential

ACS applied materials & interfaces, 2024-09, Vol.16 (35), p.46442-46453

2024

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Atomistic kinetic Monte Carlo simulation on atomic layer deposition of TiN thin film

Computational materials science, 2022-10, Vol.213, p.111620, Article 111620

2022

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AMP2: A fully automated program for ab initio calculations of crystalline materials

Computer physics communications, 2020-11, Vol.256, p.107450, Article 107450

2020

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Electrochemical Degradation of Pt3Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials

ACS catalysis, 2023-12, Vol.13 (24), p.16078-16087

2023

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Electrochemical Degradation of Pt 3 Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials

ACS catalysis, 2023-12, Vol.13 (24), p.16078-16087

2023

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Revolutionizing CO2 capture: Molecular complexes of deep eutectic solvents with enhanced hydrogen bond accepting interaction for superior absorption performance

Journal of environmental chemical engineering, 2023-06, Vol.11 (3), p.110108, Article 110108

2023

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Solution-Processed Cu2S Nanostructures for Solar Hydrogen Production

Chemistry of materials, 2023-03, Vol.35 (6), p.2371-2380

2023

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Dithiocarbamate‐Based Solution Processing for Cation Disorder Engineering in AgBiS 2 Solar Absorber Thin Films

Advanced energy materials, 2024-07

2024

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Solution-Processed Cu 2 S Nanostructures for Solar Hydrogen Production

Chemistry of materials, 2023-03, Vol.35 (6), p.2371-2380

2023

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An Analysis on the Asset Holding Behavior of Retired Old-middle aged Households in Korea

CONSUMER POLICY AND EDUCATION REVIEW, 2020-12, Vol.16 (4), p.1-27

2020

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Selenophosphate synthetase 1 and its role in redox homeostasis, defense and proliferation

Free radical biology & medicine, 2018-11, Vol.127, p.190-197

2018

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SEPHS1: Its evolution, function and roles in development and diseases

Archives of biochemistry and biophysics, 2022-11, Vol.730, p.109426-109426, Article 109426

2022

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Training machine-learning potentials for crystal structure prediction using disordered structures

Physical review. B, 2020-12, Vol.102 (22), p.1, Article 224104

2020

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A Tool to Measure Young Adults' Food Intake: Design and Development of an Australian Database of Foods for the Eat and Track Smartphone App

Selenophosphate synthetase 1 deficiency exacerbates osteoarthritis by dysregulating redox homeostasis

Efficient Atomic-Resolution Uncertainty Estimation for Neural Network Potentials Using a Replica Ensemble

Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials

Applications and training sets of machine learning potentials

The Contribution of Foods Prepared Outside the Home to the Diets of 18- to 30-Year-Old Australians: The MYMeals Study

The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional Study

Compression Stocking Length Effects on Oedema, Pain, and Satisfaction in Nursing Students: A Pilot Randomized Trial

Modified Activation-Relaxation Technique (ARTn) Method Tuned for Efficient Identification of Transition States in Surface Reactions

Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning

Disorder-Dependent Li Diffusion in Li6PS5Cl Investigated by Machine-Learning Potential

Analysis on the Effects of Financial Inclusion and Causes of Digital Financial Exclusion

Disorder-Dependent Li Diffusion in Li 6 PS 5 Cl Investigated by Machine-Learning Potential

Atomistic kinetic Monte Carlo simulation on atomic layer deposition of TiN thin film

AMP2: A fully automated program for ab initio calculations of crystalline materials

Electrochemical Degradation of Pt3Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials

Electrochemical Degradation of Pt 3 Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials

Revolutionizing CO2 capture: Molecular complexes of deep eutectic solvents with enhanced hydrogen bond accepting interaction for superior absorption performance

Solution-Processed Cu2S Nanostructures for Solar Hydrogen Production

Dithiocarbamate‐Based Solution Processing for Cation Disorder Engineering in AgBiS 2 Solar Absorber Thin Films

Solution-Processed Cu 2 S Nanostructures for Solar Hydrogen Production

An Analysis on the Asset Holding Behavior of Retired Old-middle aged Households in Korea

Selenophosphate synthetase 1 and its role in redox homeostasis, defense and proliferation

SEPHS1: Its evolution, function and roles in development and diseases

Training machine-learning potentials for crystal structure prediction using disordered structures

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