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Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers

Journal of chemical information and modeling, 2019-10, Vol.59 (10), p.4188-4194

2019

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From Organized High-Throughput Data to Phenomenological Theory using Machine Learning: The Example of Dielectric Breakdown

Chemistry of materials, 2016-03, Vol.28 (5), p.1304-1311

2016

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Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions

Journal of physical chemistry. C, 2018-08, Vol.122 (31), p.17575-17585

2018

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Machine learning in materials informatics: recent applications and prospects

npj computational materials, 2017-12, Vol.3 (1), p.1-13, Article 54

2017

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Polymer informatics: Current status and critical next steps

Materials science & engineering. R, Reports : a review journal, 2021-04, Vol.144 (C), p.100595, Article 100595

2021

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Impact of dataset uncertainties on machine learning model predictions: the example of polymer glass transition temperatures

Modelling and simulation in materials science and engineering, 2019-01, Vol.27 (2), p.24002

2019

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PARP1 inhibitors trigger innate immunity via PARP1 trapping-induced DNA damage response

eLife, 2020-08, Vol.9

2020

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Active-learning and materials design: the example of high glass transition temperature polymers

MRS communications, 2019-09, Vol.9 (3), p.860-866

2019

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Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond

Materials today (Kidlington, England), 2018-09, Vol.21 (7), p.785-796

2018

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A hybrid organic-inorganic perovskite dataset

Scientific data, 2017-05, Vol.4 (1), p.170057-170057, Article 170057

2017

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Accelerating Photofunctional Molecule Discovery with Artificial Intelligence

ACS central science, 2018-09, Vol.4 (9), p.1089-1091

Kim, Chiho

2018

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A polymer dataset for accelerated property prediction and design

Scientific data, 2016-03, Vol.3 (1), p.160012-160012, Article 160012

2016

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Refractive index prediction models for polymers using machine learning

Journal of applied physics, 2020-06, Vol.127 (21)

2020

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Ullmann Reaction Catalyzed by Heterogeneous Mesoporous Copper/Manganese Oxide: A Kinetic and Mechanistic Analysis

Inorganic chemistry, 2017-09, Vol.56 (17), p.10290-10297

2017

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Quantitative phosphoproteomic analyses identify STK11IP as a lysosome-specific substrate of mTORC1 that regulates lysosomal acidification

Nature communications, 2022-04, Vol.13 (1), p.1760-1760, Article 1760

2022

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Cyclic voltammetry studies of copper, tin and zinc electrodeposition in a citrate complex system for CZTS solar cell application

Current Applied Physics, 2016, 16(2), , pp.207-210

2016

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Effect of solder resist dissolution on the joint reliability of ENIG surface and Sn–Ag–Cu solder

Microelectronics and reliability, 2018-08, Vol.87, p.75-80

2018

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Frequency-dependent dielectric constant prediction of polymers using machine learning

npj computational materials, 2020-05, Vol.6 (1), Article 61

2020

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Reliable Detection of Location Spoofing and Variation Attacks

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Machine Learning Assisted Predictions of Intrinsic Dielectric Breakdown Strength of ABX3 Perovskites

Journal of physical chemistry. C, 2016-07, Vol.120 (27), p.14575-14580

2016

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Hot-Carrier Dynamics and Chemistry in Dielectric Polymers

The journal of physical chemistry letters, 2019-07, Vol.10 (14), p.3937-3943

2019

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Cobalt–Iron–Phosphate Hydrogen Evolution Reaction Electrocatalyst for Solar-Driven Alkaline Seawater Electrolyzer

Nanomaterials (Basel, Switzerland), 2021-11, Vol.11 (11), p.2989

2021

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Self-assembly of Ni–Fe layered double hydroxide at room temperature for oxygen evolution reaction

Energy reports, 2020-12, Vol.6, p.248-254

2020

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Polymer design using genetic algorithm and machine learning

Computational materials science, 2021-01, Vol.186, p.110067, Article 110067

2021

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Solar‐Powered AEM Electrolyzer via PGM‐Free (Oxy)hydroxide Anode with Solar to Hydrogen Conversion Efficiency of 12.44

Advanced science, 2024-07, Vol.11 (25), p.e2401782-n/a

2024

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Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers

From Organized High-Throughput Data to Phenomenological Theory using Machine Learning: The Example of Dielectric Breakdown

Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions

Machine learning in materials informatics: recent applications and prospects

Polymer informatics: Current status and critical next steps

Impact of dataset uncertainties on machine learning model predictions: the example of polymer glass transition temperatures

PARP1 inhibitors trigger innate immunity via PARP1 trapping-induced DNA damage response

Active-learning and materials design: the example of high glass transition temperature polymers

Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond

A hybrid organic-inorganic perovskite dataset

Accelerating Photofunctional Molecule Discovery with Artificial Intelligence

A polymer dataset for accelerated property prediction and design

Refractive index prediction models for polymers using machine learning

Ullmann Reaction Catalyzed by Heterogeneous Mesoporous Copper/Manganese Oxide: A Kinetic and Mechanistic Analysis

Quantitative phosphoproteomic analyses identify STK11IP as a lysosome-specific substrate of mTORC1 that regulates lysosomal acidification

Cyclic voltammetry studies of copper, tin and zinc electrodeposition in a citrate complex system for CZTS solar cell application

Effect of solder resist dissolution on the joint reliability of ENIG surface and Sn–Ag–Cu solder

Frequency-dependent dielectric constant prediction of polymers using machine learning

Reliable Detection of Location Spoofing and Variation Attacks

Machine Learning Assisted Predictions of Intrinsic Dielectric Breakdown Strength of ABX3 Perovskites

Hot-Carrier Dynamics and Chemistry in Dielectric Polymers

Cobalt–Iron–Phosphate Hydrogen Evolution Reaction Electrocatalyst for Solar-Driven Alkaline Seawater Electrolyzer

Self-assembly of Ni–Fe layered double hydroxide at room temperature for oxygen evolution reaction

Polymer design using genetic algorithm and machine learning

Solar‐Powered AEM Electrolyzer via PGM‐Free (Oxy)hydroxide Anode with Solar to Hydrogen Conversion Efficiency of 12.44

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