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59 results for Anoop+Krishnan,+N.+M.

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ArticlesPeer ReviewedFull Text
Enthalpy Landscape Dictates the Irradiation-Induced Disordering of Quartz
Author / Creator:Krishnan, N. M. Anoop ; Wang, Bu ; Yu, Yingtian ; Le Pape, Yann ; Sant, Gaurav ; Bauchy, Mathieu
Publisher:College Park: American Physical Society
Journal title:Physical review. X, 2017-07, Vol.7 (3), p.031019, Article 031019
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ArticlesPeer ReviewedFull Text
Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations
Author / Creator:Ravinder, R. ; Kumar, Rajesh ; Agarwal, Manish ; Krishnan, N. M. Anoop
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-03, Vol.9 (1), p.4517-4517, Article 4517
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Predicting the dissolution kinetics of silicate glasses by topology-informed machine learning
Author / Creator:Liu, Han ; Zhang, Tony ; Anoop Krishnan, N. M. ; Smedskjaer, Morten M. ; Ryan, Joseph V. ; Gin, Stéṕhane ; Bauchy, Mathieu
Publisher:London: Nature Publishing Group UK
Journal title:Npj Materials degradation, 2019-08, Vol.3 (1), Article 32
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Elucidating the constitutive relationship of calcium–silicate–hydrate gel using high throughput reactive molecular simulations and machine learning
Author / Creator:Lyngdoh, Gideon A. ; Li, Hewenxuan ; Zaki, Mohd ; Krishnan, N. M. Anoop ; Das, Sumanta
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2020-12, Vol.10 (1), p.21336-15, Article 21336
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MatSciBERT: A materials domain language model for text mining and information extraction
Author / Creator:Gupta, Tanishq ; Zaki, Mohd ; Krishnan, N. M. Anoop ; Mausam
Publisher:London: Nature Publishing Group UK
Journal title:npj computational materials, 2022-05, Vol.8 (1), p.1-11, Article 102
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Predicting the Young’s Modulus of Silicate Glasses using High-Throughput Molecular Dynamics Simulations and Machine Learning
Author / Creator:Yang, Kai ; Xu, Xinyi ; Yang, Benjamin ; Cook, Brian ; Ramos, Herbert ; Krishnan, N. M. Anoop ; Smedskjaer, Morten M. ; Hoover, Christian ; Bauchy, Mathieu
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-06, Vol.9 (1), p.8739-11, Article 8739
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Disorder-induced enhancement of lithium-ion transport in solid-state electrolytes
Author / Creator:Chen, Zhimin ; Du, Tao ; Krishnan, N. M. Anoop ; Yue, Yuanzheng ; Smedskjaer, Morten M.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2025-01, Vol.16 (1), p.1057-14, Article 1057
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Learning the dynamics of particle-based systems with Lagrangian graph neural networks
Author / Creator:Bhattoo, Ravinder ; Ranu, Sayan ; Krishnan, N M Anoop
Publisher:Bristol: IOP Publishing
Journal title:Machine learning: science and technology, 2023-03, Vol.4 (1), p.15003
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Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships
Author / Creator:Singla, Sayam ; Mannan, Sajid ; Zaki, Mohd ; Krishnan, N M Anoop
Publisher:Bristol: IOP Publishing
Journal title:JPhys materials, 2023-04, Vol.6 (2), p.24003
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Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks
Author / Creator:Bishnoi, Suresh ; Bhattoo, Ravinder ; Jayadeva ; Ranu, Sayan ; Krishnan, N M Anoop
Publisher:Bristol: IOP Publishing
Journal title:Machine learning: science and technology, 2024-09, Vol.5 (3), p.35049
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A Peridynamics-Based Micromechanical Modeling Approach for Random Heterogeneous Structural Materials
Author / Creator:Nayak, Sumeru ; Ravinder, R ; Krishnan, N M Anoop ; Das, Sumanta
Publisher:Switzerland: MDPI AG
Journal title:Materials, 2020-03, Vol.13 (6), p.1298
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Machine learning-aided cost prediction and optimization in construction operations
Author / Creator:Sharma, Virok ; Zaki, Mohd ; Jha, Kumar Neeraj ; Krishnan, N. M. Anoop
Publisher:Bradford: Emerald Publishing Limited
Journal title:Engineering, construction, and architectural management, 2022-03, Vol.29 (3), p.1241-1257
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ArticlesPeer ReviewedFull Text
Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning
Author / Creator:Mannan, Sajid ; Bihani, Vaibhav ; Krishnan, N. M. Anoop ; Mauro, John C.
Publisher:Beijing: John Wiley & Sons, Inc
Journal title:Materials Genome Engineering Advances, 2024-03, Vol.2 (1), p.n/a
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ArticlesPeer ReviewedFull Text
The effect of irradiation on the atomic structure and chemical durability of calcite and dolomite
Author / Creator:Hsiao, Yi-Hsuan ; Wang, Bu ; La Plante, Erika Callagon ; Pignatelli, Isabella ; Krishnan, N. M. Anoop ; Le Pape, Yann ; Neithalath, Narayanan ; Bauchy, Mathieu ; Sant, Gaurav
Publisher:London: Nature Publishing Group UK
Journal title:Npj Materials degradation, 2019-10, Vol.3 (1), Article 36
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ArticlesPeer ReviewedFull Text
Drift Response Evaluation of Buckling-Restrained Braced Frames (BRBFs) under Sequential Seismic Disturbances
Author / Creator:Pandikkadavath, Muhamed Safeer ; Mangalathu, Sujith ; Oinam, Romanbabu M ; Ashwin Kumar, P C ; Sahoo, Dipti Ranjan ; Anoop Krishnan, N M
Publisher:Bristol: IOP Publishing
Journal title:IOP conference series. Materials Science and Engineering, 2020-09, Vol.936 (1), p.12040
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ArticlesFull Text
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors
Author / Creator:Bishnoi, Suresh ; Badge, Skyler ; Jayadeva ; Krishnan, N M Anoop
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-10
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ArticlesPeer ReviewedFull Text
Microstructure-guided numerical simulation to evaluate the influence of phase change materials (PCMs) on the freeze-thaw response of concrete pavements
Author / Creator:Nayak, Sumeru ; Krishnan, N.M. Anoop ; Das, Sumanta
Publisher:Elsevier Ltd
Journal title:Construction & building materials, 2019-03, Vol.201, p.246-256
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ArticlesFull Text
On the Allowable or Forbidden Nature of Vapor-Deposited Glasses
Author / Creator:Wang, Zhe ; Du, Tao ; Krishnan, N M Anoop ; Smedskjaer, Morten M ; Bauchy, Mathieu
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-04
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Predicting Young's Modulus of Glasses with Sparse Datasets using Machine Learning
Author / Creator:Bishnoi, Suresh ; Singh, Sourabh ; Ravinder, R ; Bauchy, Mathieu ; Nitya Nand Gosvami ; Hariprasad Kodamana ; Krishnan, N M Anoop
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2019-02
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ArticlesFull Text
A New Transferable Interatomic Potential for Molecular Dynamics Simulations of Borosilicate Glasses
Author / Creator:Wang, Mengyi ; Krishnan, N M Anoop ; Wang, Bu ; Smedskjaer, Morten M ; Mauro, John C ; Bauchy, Mathieu
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2018-03
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Showing 1 to 20 of 59 results

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Enthalpy Landscape Dictates the Irradiation-Induced Disordering of Quartz

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Evidence of a two-dimensional glass transition in graphene: Insights from molecular simulations

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Predicting the dissolution kinetics of silicate glasses by topology-informed machine learning

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Elucidating the constitutive relationship of calcium–silicate–hydrate gel using high throughput reactive molecular simulations and machine learning

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MatSciBERT: A materials domain language model for text mining and information extraction

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Predicting the Young’s Modulus of Silicate Glasses using High-Throughput Molecular Dynamics Simulations and Machine Learning

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Disorder-induced enhancement of lithium-ion transport in solid-state electrolytes

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Learning the dynamics of particle-based systems with Lagrangian graph neural networks

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Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships

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Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks

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A Peridynamics-Based Micromechanical Modeling Approach for Random Heterogeneous Structural Materials

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Machine learning-aided cost prediction and optimization in construction operations

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Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning

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The effect of irradiation on the atomic structure and chemical durability of calcite and dolomite

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Drift Response Evaluation of Buckling-Restrained Braced Frames (BRBFs) under Sequential Seismic Disturbances

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Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors

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Microstructure-guided numerical simulation to evaluate the influence of phase change materials (PCMs) on the freeze-thaw response of concrete pavements

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On the Allowable or Forbidden Nature of Vapor-Deposited Glasses

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Predicting Young's Modulus of Glasses with Sparse Datasets using Machine Learning

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A New Transferable Interatomic Potential for Molecular Dynamics Simulations of Borosilicate Glasses

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