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Understanding Jupiter’s deep interior: the effect of a dilute core

Astronomy and astrophysics (Berlin), 2019-12, Vol.632, p.A76

Ni, Dongdong

2019

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Empirical models of Jupiter’s interior from Juno data

Astronomy and astrophysics (Berlin), 2018-05, Vol.613

Ni, Dongdong

2018

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Comparison of Machine-learning and Bayesian Inferences for the Interior of Rocky Exoplanets with Large Compositional Diversity

The Astrophysical journal. Supplement series, 2024-06, Vol.272 (2), p.35

2024

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Machine-learning Inferences of the Interior Structure of Rocky Exoplanets from Bulk Observational Constraints

The Astrophysical journal. Supplement series, 2023-11, Vol.269 (1), p.1

2023

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Serpentinisation is Required for the Magnetization of the Martian Crust

Research in astronomy and astrophysics, 2023-06, Vol.23 (6), p.65012

2023

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Modeling the distribution of subsurface seasonal water ice with varying atmospheric conditions at northern low to midlatitudes on Mars

Icarus (New York, N.Y. 1962), 2023-01, Vol.389, p.115262, Article 115262

2023

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Unscrambling the Provenance of Eggs by Combining Chemometrics and Near-Infrared Reflectance Spectroscopy

Sensors (Basel, Switzerland), 2022-07, Vol.22 (13), p.4988

2022

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β+/EC decay rates of deformed neutron-deficient nuclei in the deformed QRPA with realistic interactions

Physics letters. B, 2015-05, Vol.744, p.22-27

2015

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Signature of helium rain and dilute cores in Jupiter's interior from empirical equations of state

Earth and planetary physics, 2020-03, Vol.4 (2), p.111-119

Ni, DongDong

2020

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Inside the Egg—Demonstrating Provenance Without the Cracking Using Near Infrared Spectroscopy

Food analytical methods, 2022-11, Vol.15 (11), p.3013-3019

2022

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Empirical models of Jupiter’s interior from Juno data: Moment of inertia and tidal Love number k 2

Astronomy and astrophysics (Berlin), 2018-05, Vol.613, p.A32

Ni, Dongdong

2018

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Understanding Saturn’s interior from the Cassini Grand Finale gravity measurements

Astronomy and astrophysics (Berlin), 2020-07, Vol.639, p.A10

Ni, Dongdong

2020

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Dynamic evolution of changbaishan volcanism in Northeast China illuminated by machine learning

Frontiers in earth science (Lausanne), 2023-01, Vol.10

2023

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α-decay calculations of ground and isomeric states within a generalized density-dependent cluster model

Journal of physics. G, Nuclear and particle physics, 2010-03, Vol.37 (3), p.035104

2010

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Calculations of the β-decay half-lives of neutron-rich nuclei

Journal of physics. G, Nuclear and particle physics, 2012-12, Vol.39 (12), p.125105

2012

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Quantitative correlation of refractory elemental abundances between rocky exoplanets and their host stars

Astronomy and astrophysics (Berlin), 2023-06, Vol.674, p.A137

2023

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Unravelling protein corona formation on pristine and leached microplastics

Microplastics and nanoplastics, 2024-04, Vol.4 (1), p.9-12, Article 9

2024

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Neutron-neutral particle mixing and its observable consequences

Physical review. D, 2022-12, Vol.106 (11), Article 115028

2022

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Dineutron decay into sterile antineutrinos in neutron stars and its observable consequences

Physical review. D, 2023-02, Vol.107 (3), Article 035026

2023

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Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition

TrAC, Trends in analytical chemistry (Regular ed.), 2023-06, Vol.163, p.117067, Article 117067

2023

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Existence and stability of steady states for hierarchical age-structured population models

Electronic journal of differential equations, 2019-11, Vol.2019 (124), p.1-14

2019

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Understanding the interior structure of gaseous giant exoplanets with machine learning techniques

Astronomy and astrophysics (Berlin), 2022-02, Vol.658, p.A201

2022

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Machine learning techniques in studies of the interior structure of rocky exoplanets

Astronomy and astrophysics (Berlin), 2021-06, Vol.650, p.A177

2021

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Optimal control of a size-structured unicellular algae model in harvesting and sewage treatment

Computers & mathematics with applications (1987), 2023-09, Vol.145, p.240-259

2023

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Integrating Effects of Human Physiology, Psychology, and Individual Variations on Satiety-An Exploratory Study

Frontiers in nutrition (Lausanne), 2022-04, Vol.9, p.872169-872169

2022

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Understanding Jupiter’s deep interior: the effect of a dilute core

Empirical models of Jupiter’s interior from Juno data

Comparison of Machine-learning and Bayesian Inferences for the Interior of Rocky Exoplanets with Large Compositional Diversity

Machine-learning Inferences of the Interior Structure of Rocky Exoplanets from Bulk Observational Constraints

Serpentinisation is Required for the Magnetization of the Martian Crust

Modeling the distribution of subsurface seasonal water ice with varying atmospheric conditions at northern low to midlatitudes on Mars

Unscrambling the Provenance of Eggs by Combining Chemometrics and Near-Infrared Reflectance Spectroscopy

β+/EC decay rates of deformed neutron-deficient nuclei in the deformed QRPA with realistic interactions

Signature of helium rain and dilute cores in Jupiter's interior from empirical equations of state

Inside the Egg—Demonstrating Provenance Without the Cracking Using Near Infrared Spectroscopy

Empirical models of Jupiter’s interior from Juno data: Moment of inertia and tidal Love number k 2

Understanding Saturn’s interior from the Cassini Grand Finale gravity measurements

Dynamic evolution of changbaishan volcanism in Northeast China illuminated by machine learning

α-decay calculations of ground and isomeric states within a generalized density-dependent cluster model

Calculations of the β-decay half-lives of neutron-rich nuclei

Quantitative correlation of refractory elemental abundances between rocky exoplanets and their host stars

Unravelling protein corona formation on pristine and leached microplastics

Neutron-neutral particle mixing and its observable consequences

Dineutron decay into sterile antineutrinos in neutron stars and its observable consequences

Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition

Existence and stability of steady states for hierarchical age-structured population models

Understanding the interior structure of gaseous giant exoplanets with machine learning techniques

Machine learning techniques in studies of the interior structure of rocky exoplanets

Optimal control of a size-structured unicellular algae model in harvesting and sewage treatment

Integrating Effects of Human Physiology, Psychology, and Individual Variations on Satiety-An Exploratory Study

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