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Three optimal families of three‐sub‐step dissipative implicit integration algorithms with either second, third, or fourth‐order accuracy for second‐order nonlinear dynamics

International journal for numerical methods in engineering, 2023-09, Vol.124 (17), p.3733-3766

2023

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OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space

Journal of chemical theory and computation, 2021-07, Vol.17 (7), p.4291-4300

2021

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Universal machine learning for topology optimization

Computer methods in applied mechanics and engineering, 2021-03, Vol.375, p.112739, Article 112739

2021

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TRIGONOMETRIC PARALLAXES OF HIGH MASS STAR FORMING REGIONS: THE STRUCTURE AND KINEMATICS OF THE MILKY WAY

The Astrophysical journal, 2014-03, Vol.783 (2), p.1-14

2014

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Inverse design of plasmonic metasurfaces by convolutional neural network

Optics letters, 2020-03, Vol.45 (6), p.1362-1365

2020

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Measures of Model Performance Based On the Log Accuracy Ratio

Space Weather, 2018-01, Vol.16 (1), p.69-88

2018

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FCHL revisited: Faster and more accurate quantum machine learning

The Journal of chemical physics, 2020-01, Vol.152 (4), p.044107-044107

2020

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Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.574-586

2019

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IEEE_Xplore

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Proceedings of the National Academy of Sciences - PNAS, 2022-04, Vol.119 (15), p.e2113561119

2022

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Statistical and Machine Learning forecasting methods: Concerns and ways forward

PloS one, 2018-03, Vol.13 (3), p.e0194889-e0194889

2018

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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Sensors (Basel, Switzerland), 2017-02, Vol.17 (2), p.425-425

2017

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Precision Stellar Characterization of FGKM Stars using an Empirical Spectral Library

The Astrophysical journal, 2017-02, Vol.836 (1), p.77

2017

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Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

Energy conversion and management, 2021-04, Vol.234, p.113944, Article 113944

2021

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Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network

Energy (Oxford), 2018-05, Vol.151, p.875-888

2018

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A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

Proceedings of the National Academy of Sciences - PNAS, 2019-02, Vol.116 (8), p.3146-3154

2019

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Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

The Astrophysical journal, 2017-03, Vol.837 (2), p.170

2017

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Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

IEEE transactions on geoscience and remote sensing, 2018-02, Vol.56 (2), p.847-858

2018

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IEEE_Xplore

Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings

Energy conversion and management, 2021-06, Vol.238, p.114153, Article 114153

2021

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Uniformly accurate machine learning-based hydrodynamic models for kinetic equations

Proceedings of the National Academy of Sciences - PNAS, 2019-10, Vol.116 (44), p.21983-21991

2019

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Feasibility of Replacing the Range Doppler Equation of Spaceborne Synthetic Aperture Radar Considering Atmospheric Propagation Delay with a Rational Polynomial Coefficient Model

Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.553

2020

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OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy

The Journal of chemical physics, 2021-11, Vol.155 (20), p.204103-204103

2021

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Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

IEEE transactions on geoscience and remote sensing, 2017-02, Vol.55 (2), p.881-893

2017

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IEEE_Xplore

Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

Hydrology and earth system sciences, 2017-12, Vol.21 (12), p.6201-6217

2017

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Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity

The Journal of chemical physics, 2016-10, Vol.145 (16), p.161102-161102

2016

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Descriptors representing two- and three-body atomic distributions and their effects on the accuracy of machine-learned inter-atomic potentials

The Journal of chemical physics, 2020-06, Vol.152 (23), p.234102-234102

2020

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Three optimal families of three‐sub‐step dissipative implicit integration algorithms with either second, third, or fourth‐order accuracy for second‐order nonlinear dynamics

OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space

Universal machine learning for topology optimization

TRIGONOMETRIC PARALLAXES OF HIGH MASS STAR FORMING REGIONS: THE STRUCTURE AND KINEMATICS OF THE MILKY WAY

Inverse design of plasmonic metasurfaces by convolutional neural network

Measures of Model Performance Based On the Log Accuracy Ratio

FCHL revisited: Faster and more accurate quantum machine learning

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Statistical and Machine Learning forecasting methods: Concerns and ways forward

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Precision Stellar Characterization of FGKM Stars using an Empirical Spectral Library

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network

A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings

Uniformly accurate machine learning-based hydrodynamic models for kinetic equations

Feasibility of Replacing the Range Doppler Equation of Spaceborne Synthetic Aperture Radar Considering Atmospheric Propagation Delay with a Rational Polynomial Coefficient Model

OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity

Descriptors representing two- and three-body atomic distributions and their effects on the accuracy of machine-learned inter-atomic potentials

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