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Machine learning coarse grained models for water

Nature communications, 2019-01, Vol.10 (1), p.379-379, Article 379

2019

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Active Learning the Potential Energy Landscape for Water Clusters from Sparse Training Data

Journal of physical chemistry. C, 2020-02, Vol.124 (8), p.4907-4916

2020

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Machine learning enabled autonomous microstructural characterization in 3D samples

npj computational materials, 2020-01, Vol.6 (1), p.1-9, Article 1

2020

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Learning in continuous action space for developing high dimensional potential energy models

Nature communications, 2022-01, Vol.13 (1), p.368-368, Article 368

2022

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Combining single-cell tracking and omics improves blood stem cell fate regulator identification

Blood, 2022-09, Vol.140 (13), p.1482-1495

2022

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Osteocalcin positive CD133+/CD34―/KDR+ progenitor cells as an independent marker for unstable atherosclerosis

European heart journal, 2012-12, Vol.33 (23), p.2963-2969

2012

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Factors Associated With 30-Day Readmission After Primary Total Hip Arthroplasty: Analysis of 514 455 Procedures in the UK National Health Service

JAMA surgery, 2017-12, Vol.152 (12), p.e173949

2017

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Multi-reward reinforcement learning based development of inter-atomic potential models for silica

npj computational materials, 2023-07, Vol.9 (1), p.125-13, Article 125

2023

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Differentiating Between Tornadic and Nontornadic Supercells Using Polarimetric Radar Signatures of Hydrometeor Size Sorting

Geophysical research letters, 2020-06, Vol.47 (12), p.n/a

2020

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Predictors of 30-Day Readmission After Total Knee Arthroplasty: Analysis of 566,323 Procedures in the United Kingdom

The Journal of arthroplasty, 2019-02, Vol.34 (2), p.242-248.e1

2019

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Active learning a coarse-grained neural network model for bulk water from sparse training data

Molecular systems design & engineering, 2020-06, Vol.5 (5), p.92-91

2020

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Machine learning overcomes human bias in the discovery of self-assembling peptides

Nature chemistry, 2022-12, Vol.14 (12), p.1427-1435

2022

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Improving the Efficiency of Configurational-Bias Monte Carlo: Extension of the Jacobian–Gaussian Scheme to Interior Sections of Cyclic and Polymeric Molecules

Journal of chemical theory and computation, 2017-09, Vol.13 (9), p.4043-4053

2017

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Specific antibodies to soluble alpha-synuclein conformations in intravenous immunoglobulin preparations

Clinical and experimental immunology, 2010-09, Vol.161 (3), p.527-535

2010

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Development of an analytical method to determine avermectins in water, sediments and soils using liquid chromatography–tandem mass spectrometry

Journal of Chromatography A, 2008-11, Vol.1211 (1), p.60-69

2008

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Improving the Efficiency of Configurational-Bias Monte Carlo: A Jacobian–Gaussian Scheme for Generating Bending Angle Trials for Linear and Branched Molecules

Journal of chemical theory and computation, 2017-04, Vol.13 (4), p.1577-1583

2017

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Timing of Readmissions After Elective Total Hip and Knee Arthroplasty: Does a 30-Day All-Cause Rate Capture Surgically Relevant Readmissions?

The Journal of arthroplasty, 2021-02, Vol.36 (2), p.728-733

2021

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Accelerating copolymer inverse design using monte carlo tree search

Nanoscale, 2020-12, Vol.12 (46), p.23653-23662

2020

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Improved Monte Carlo Scheme for Efficient Particle Transfer in Heterogeneous Systems in the Grand Canonical Ensemble: Application to Vapor–Liquid Nucleation

Journal of chemical theory and computation, 2015-09, Vol.11 (9), p.4023-4032

2015

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Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data

ChemCatChem, 2020-10, Vol.12 (19), p.4796-4806

2020

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Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

ACS applied materials & interfaces, 2024-04, Vol.16 (16), p.20681-20692

2024

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Comparison of 3 Types of Readmission Rates for Measuring Hospital and Surgeon Performance After Primary Total Hip and Knee Arthroplasty

The Journal of arthroplasty, 2018-07, Vol.33 (7), p.2014-2019.e2

2018

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A coarse-grained deep neural network model for liquid water

Applied physics letters, 2019-11, Vol.115 (19)

2019

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Correction: Accelerating copolymer inverse design using monte carlo tree search

Nanoscale, 2023-10, Vol.15 (39), p.16227-16227

2023

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Cyclophilins contribute to Stat3 signaling and survival of multiple myeloma cells

Oncogene, 2009-08, Vol.28 (31), p.2784-2795

2009

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Machine learning coarse grained models for water

Active Learning the Potential Energy Landscape for Water Clusters from Sparse Training Data

Machine learning enabled autonomous microstructural characterization in 3D samples

Learning in continuous action space for developing high dimensional potential energy models

Combining single-cell tracking and omics improves blood stem cell fate regulator identification

Osteocalcin positive CD133+/CD34―/KDR+ progenitor cells as an independent marker for unstable atherosclerosis

Factors Associated With 30-Day Readmission After Primary Total Hip Arthroplasty: Analysis of 514 455 Procedures in the UK National Health Service

Multi-reward reinforcement learning based development of inter-atomic potential models for silica

Differentiating Between Tornadic and Nontornadic Supercells Using Polarimetric Radar Signatures of Hydrometeor Size Sorting

Predictors of 30-Day Readmission After Total Knee Arthroplasty: Analysis of 566,323 Procedures in the United Kingdom

Active learning a coarse-grained neural network model for bulk water from sparse training data

Machine learning overcomes human bias in the discovery of self-assembling peptides

Improving the Efficiency of Configurational-Bias Monte Carlo: Extension of the Jacobian–Gaussian Scheme to Interior Sections of Cyclic and Polymeric Molecules

Specific antibodies to soluble alpha-synuclein conformations in intravenous immunoglobulin preparations

Development of an analytical method to determine avermectins in water, sediments and soils using liquid chromatography–tandem mass spectrometry

Improving the Efficiency of Configurational-Bias Monte Carlo: A Jacobian–Gaussian Scheme for Generating Bending Angle Trials for Linear and Branched Molecules

Timing of Readmissions After Elective Total Hip and Knee Arthroplasty: Does a 30-Day All-Cause Rate Capture Surgically Relevant Readmissions?

Accelerating copolymer inverse design using monte carlo tree search

Improved Monte Carlo Scheme for Efficient Particle Transfer in Heterogeneous Systems in the Grand Canonical Ensemble: Application to Vapor–Liquid Nucleation

Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data

Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

Comparison of 3 Types of Readmission Rates for Measuring Hospital and Surgeon Performance After Primary Total Hip and Knee Arthroplasty

A coarse-grained deep neural network model for liquid water

Correction: Accelerating copolymer inverse design using monte carlo tree search

Cyclophilins contribute to Stat3 signaling and survival of multiple myeloma cells

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