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Refinado por: Base de dados/Biblioteca: Engineered Materials Abstracts remover assunto: Materials Science remover
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Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature
Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature
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Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

Weston, L ; Tshitoyan, V ; Dagdelen, J ; Kononova, O ; Trewartha, A ; Persson, K. A ; Ceder, G ; Jain, A

Journal of chemical information and modeling, 2019-09, Vol.59 (9), p.3692-3702 [Periódico revisado por pares]

United States: American Chemical Society

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2
Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems
Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems
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Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

Anitescu, Cosmin ; Atroshchenko, Elena ; Alajlan, Naif ; Rabczuk, Timon

Computers, materials & continua, 2019-01, Vol.59 (1), p.345-359

Henderson: Tech Science Press

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3
tmQM DatasetQuantum Geometries and Properties of 86k Transition Metal Complexes
tmQM DatasetQuantum Geometries and Properties of 86k Transition Metal Complexes
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tmQM DatasetQuantum Geometries and Properties of 86k Transition Metal Complexes

Balcells, David ; Skjelstad, Bastian Bjerkem

Journal of chemical information and modeling, 2020-12, Vol.60 (12), p.6135-6146 [Periódico revisado por pares]

United States: American Chemical Society

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4
Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
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Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity

Jiang, Xiangao ; Coffee, Megan ; Bari, Anasse ; Wang, Junzhang ; Jiang, Xinyue ; Huang, Jianping ; Shi, Jichan ; Dai, Jianyi ; Cai, Jing ; Zhang, Tianxiao ; Wu, Zhengxing ; He, Guiqing ; Huang, Yitong

Computers, materials & continua, 2020-01, Vol.62 (3), p.537-551

Henderson: Tech Science Press

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5
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
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A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

Guo, Hongwei ; Zhuang, Xiaoying ; Rabczuk, Timon

Computers, materials & continua, 2019-01, Vol.59 (2), p.433-456

Henderson: Tech Science Press

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6
Modeling Nanostructure in Graphene Oxide: Inhomogeneity and the Percolation Threshold
Modeling Nanostructure in Graphene Oxide: Inhomogeneity and the Percolation Threshold
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Modeling Nanostructure in Graphene Oxide: Inhomogeneity and the Percolation Threshold

Sinclair, Robert C ; Coveney, Peter V

Journal of chemical information and modeling, 2019-06, Vol.59 (6), p.2741-2745 [Periódico revisado por pares]

United States: American Chemical Society

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7
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge
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Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge

Hiszpanski, Anna M ; Gallagher, Brian ; Chellappan, Karthik ; Li, Peggy ; Liu, Shusen ; Kim, Hyojin ; Han, Jinkyu ; Kailkhura, Bhavya ; Buttler, David J ; Han, Thomas Yong-Jin

Journal of chemical information and modeling, 2020-06, Vol.60 (6), p.2876-2887 [Periódico revisado por pares]

United States: American Chemical Society

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8
ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science
ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science
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ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science

Mavračić, Juraj ; Court, Callum J ; Isazawa, Taketomo ; Elliott, Stephen R ; Cole, Jacqueline M

Journal of chemical information and modeling, 2021-09, Vol.61 (9), p.4280-4289 [Periódico revisado por pares]

Washington: American Chemical Society

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9
Functional Output Regression for Machine Learning in Materials Science
Functional Output Regression for Machine Learning in Materials Science
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Functional Output Regression for Machine Learning in Materials Science

Iwayama, Megumi ; Wu, Stephen ; Liu, Chang ; Yoshida, Ryo

Journal of chemical information and modeling, 2022-10, Vol.62 (20), p.4837-4851 [Periódico revisado por pares]

Washington: American Chemical Society

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10
A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis
A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis
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A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis

Zhang, Xiaorui ; Zhou, Jie ; Sun, Wei ; Kumar Jha, Sunil

Computers, materials & continua, 2022, Vol.72 (1), p.1123-1137

Henderson: Tech Science Press

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