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Measurements of the gravitational constant using two independent methods

Nature (London), 2018-08, Vol.560 (7720), p.582-588

2018

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Improvement for Testing the Gravitational Inverse-Square Law at the Submillimeter Range

Physical review letters, 2020-02, Vol.124 (5), p.051301-051301, Article 051301

2020

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A high precision surface potential imaging torsion pendulum facility to investigate physical mechanism of patch effect

Review of scientific instruments, 2023-02, Vol.94 (2)

2023

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New Test of the Gravitational Inverse-Square Law at the Submillimeter Range with Dual Modulation and Compensation

Physical review letters, 2016-04, Vol.116 (13), p.131101-131101, Article 131101

2016

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Improvement for Testing the Gravitational Inverse-Square Law at the Submillimeter Range

Physical review letters, 2020-02, Vol.124 (5), p.051301

2020

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Josephson tunneling in MgB2 break junctions

Physica. C, Superconductivity, 2002-04, Vol.370 (1), p.1-5

2002

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Recent progress in testing Newtonian inverse square law at short range

Wuli xuebao, 2018-08, Vol.67 (16), p.160401

2018

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Coexistence of ferromagnetism and superconductivity in Cu-rich lanthanum Cu-oxides

The European physical journal. B, Condensed matter physics, 2002-01, Vol.25 (1), p.19-23

2002

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Correlation Between Eutectoid Phase Transition and Deuteration Kinetics of TiHf Alloys

Tong wei su, 2014-02, Vol.27 (1), p.41-44

2014

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Josephson tunneling in MgB sub(2) break junctions

Physica. C, Superconductivity, 2002-04, Vol.370 (1), p.1-5

2002

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Josephson tunneling in MgB 2 break junctions

Physica. C, Superconductivity, 2002, Vol.370 (1), p.1-5

2002

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An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis

Reliability engineering & system safety, 2023-09, Vol.237, p.109377, Article 109377

2023

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Physics-guided machine learning frameworks for fatigue life prediction of AM materials

International journal of fatigue, 2023-07, Vol.172, p.107658, Article 107658

2023

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Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy

Computer methods in applied mechanics and engineering, 2024-04, Vol.423, p.116863, Article 116863

2024

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Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2023-11, Vol.381 (2260)

2023

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Laryngopharyngeal Reflux and Benign Vocal Fold Lesions: A Systematic Review and Meta‐analysis

Otolaryngology-head and neck surgery, 2024-02, Vol.170 (2), p.309-319

2024

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Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties

International journal of structural integrity, 2023-11, Vol.14 (6), p.1000-1024

2023

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Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory

International journal of fatigue, 2024-06, Vol.183, p.108280, Article 108280

2024

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Physics-informed neural network for creep-fatigue life prediction of Inconel 617 and interpretation of influencing factors

Materials & design, 2024-09, Vol.245, p.113267, Article 113267

2024

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Physics-informed machine learning and its structural integrity applications: state of the art

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2023-11, Vol.381 (2260)

2023

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Structural optimization design of metal rubber isolator based on an ensemble surrogate model

Structures (Oxford), 2023-10, Vol.56, p.104964, Article 104964

2023

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Pressure and polymer selections for solid-state batteries investigated with high-throughput simulations

Cell reports physical science, 2023-03, Vol.4 (3), p.101328, Article 101328

2023

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EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis

Computer methods in applied mechanics and engineering, 2022-10, Vol.400, p.115499, Article 115499

2022

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Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

Computer methods in applied mechanics and engineering, 2022-01, Vol.388, p.114218, Article 114218

2022

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Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory

International journal of fatigue, 2022-12, Vol.165, p.107213, Article 107213

2022

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Measurements of the gravitational constant using two independent methods

Improvement for Testing the Gravitational Inverse-Square Law at the Submillimeter Range

A high precision surface potential imaging torsion pendulum facility to investigate physical mechanism of patch effect

New Test of the Gravitational Inverse-Square Law at the Submillimeter Range with Dual Modulation and Compensation

Improvement for Testing the Gravitational Inverse-Square Law at the Submillimeter Range

Josephson tunneling in MgB2 break junctions

Recent progress in testing Newtonian inverse square law at short range

Coexistence of ferromagnetism and superconductivity in Cu-rich lanthanum Cu-oxides

Correlation Between Eutectoid Phase Transition and Deuteration Kinetics of TiHf Alloys

Josephson tunneling in MgB sub(2) break junctions

Josephson tunneling in MgB 2 break junctions

An enhanced uniform simulation approach coupled with SVR for efficient structural reliability analysis

Physics-guided machine learning frameworks for fatigue life prediction of AM materials

Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy

Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials

Laryngopharyngeal Reflux and Benign Vocal Fold Lesions: A Systematic Review and Meta‐analysis

Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties

Probabilistic notch fatigue assessment under size effect using micromechanics-based critical distance theory

Physics-informed neural network for creep-fatigue life prediction of Inconel 617 and interpretation of influencing factors

Physics-informed machine learning and its structural integrity applications: state of the art

Structural optimization design of metal rubber isolator based on an ensemble surrogate model

Pressure and polymer selections for solid-state batteries investigated with high-throughput simulations

EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis

Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory

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