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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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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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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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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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A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

Entropy (Basel, Switzerland), 2020-12, Vol.22 (12), p.1412

2020

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Connections between the accuracy of rotational constants and equilibrium molecular structures

Physical chemistry chemical physics : PCCP, 2023-01, Vol.25 (3), p.1421-1429

2023

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High-accuracy extrapolated ab initio thermochemistry. IV. A modified recipe for computational efficiency

The Journal of chemical physics, 2019-06, Vol.150 (22), p.224102-224102

2019

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Accuracy limit of rigid 3-point water models

The Journal of chemical physics, 2016-08, Vol.145 (7), p.074501-074501

2016

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Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics

Physical review letters, 2018-04, Vol.120 (14), p.143001-143001, Article 143001

2018

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Parallel Implementation of High-Fidelity Multiqubit Gates with Neutral Atoms

Physical review letters, 2019-10, Vol.123 (17), p.1-170503, Article 170503

2019

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Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

Geophysical research letters, 2020-07, Vol.47 (13), p.n/a

2020

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Tunable Coupling Architecture for Fixed-Frequency Transmon Superconducting Qubits

Physical review letters, 2021-08, Vol.127 (8), p.1-080505, Article 080505

2021

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High-accuracy phase-field models for brittle fracture based on a new family of degradation functions

Journal of the mechanics and physics of solids, 2018-02, Vol.111, p.458-489

2018

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A new type of multi-resolution WENO schemes with increasingly higher order of accuracy on triangular meshes

Journal of computational physics, 2019-09, Vol.392, p.19-33

2019

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Mechanical and Geometric Performance of PLA-Based Polymer Composites Processed by the Fused Filament Fabrication Additive Manufacturing Technique

Materials, 2020-04, Vol.13 (8), p.1924

2020

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SPH accuracy improvement through the combination of a quasi-Lagrangian shifting transport velocity and consistent ALE formalisms

Journal of computational physics, 2016-05, Vol.313, p.76-98

2016

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Repeated quantum error detection in a surface code

Nature physics, 2020-08, Vol.16 (8), p.875-880

2020

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High-Rate, High-Fidelity Entanglement of Qubits Across an Elementary Quantum Network

Physical review letters, 2020-03, Vol.124 (11), p.110501-110501, Article 110501

2020

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A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy

Water resources research, 2023-02, Vol.59 (2), p.n/a

2023

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Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

IEEE sensors journal, 2015-08, Vol.15 (8), p.4275-4285

2015

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IEEE_Xplore

On the theory of fast projection methods for high-order Navier-Stokes solvers

Journal of computational physics, 2023-12, Vol.495, p.112557, Article 112557

2023

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Assessing MPPT Techniques on Hot-Spotted and Partially Shaded Photovoltaic Modules: Comprehensive Review Based on Experimental Data

IEEE transactions on electron devices, 2019-03, Vol.66 (3), p.1132-1144

Dhimish, Mahmoud

2019

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IEEE_Xplore

Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ‑Machine Learning

Journal of chemical theory and computation, 2021-02, Vol.17 (2), p.826-840

2021

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

FCHL revisited: Faster and more accurate quantum machine learning

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

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

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

Connections between the accuracy of rotational constants and equilibrium molecular structures

High-accuracy extrapolated ab initio thermochemistry. IV. A modified recipe for computational efficiency

Accuracy limit of rigid 3-point water models

Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics

Parallel Implementation of High-Fidelity Multiqubit Gates with Neutral Atoms

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

Tunable Coupling Architecture for Fixed-Frequency Transmon Superconducting Qubits

High-accuracy phase-field models for brittle fracture based on a new family of degradation functions

A new type of multi-resolution WENO schemes with increasingly higher order of accuracy on triangular meshes

The Correlation between Mixing Length and Metallicity on the Giant Branch: Implications for Ages in the Gaia Era

Mechanical and Geometric Performance of PLA-Based Polymer Composites Processed by the Fused Filament Fabrication Additive Manufacturing Technique

SPH accuracy improvement through the combination of a quasi-Lagrangian shifting transport velocity and consistent ALE formalisms

Repeated quantum error detection in a surface code

High-Rate, High-Fidelity Entanglement of Qubits Across an Elementary Quantum Network

A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

On the theory of fast projection methods for high-order Navier-Stokes solvers

Assessing MPPT Techniques on Hot-Spotted and Partially Shaded Photovoltaic Modules: Comprehensive Review Based on Experimental Data

Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ‑Machine Learning

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