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Mohd Zaki
Mohd Zaki
Подтвержден адрес электронной почты в домене civil.iitd.ac.in - Главная страница
Название
Процитировано
Процитировано
Год
Matscibert: A materials domain language model for text mining and information extraction
T Gupta, M Zaki, NMA Krishnan, Mausam
npj Computational Materials 8 (1), 102, 2022
1092022
Prediction of concrete strengths enabled by missing data imputation and interpretable machine learning
GA Lyngdoh, M Zaki, NMA Krishnan, S Das
Cement and Concrete Composites 128, 104414, 2022
852022
Looking through glass: Knowledge discovery from materials science literature using natural language processing
V Venugopal, S Sahoo, M Zaki, M Agarwal, NN Gosvami, NMA Krishnan
Patterns 2 (7), 2021
462021
Artificial Intelligence and Machine Learning in Glass Science and Technology: 21 Challenges for the 21st Century
R Ravinder, V Venugopal, S Bishnoi, S Singh, M Zaki, HS Grover, ...
International Journal of Applied Glass Science, 0
30
Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning
R Bhattoo, S Bishnoi, M Zaki, NMA Krishnan
Acta Materialia 242, 118439, 2023
29*2023
Interpreting the optical properties of oxide glasses with machine learning and shapely additive explanations
M Zaki, V Venugopal, R Bhattoo, S Bishnoi, SK Singh, AR Allu, ...
Journal of the American Ceramic Society 105 (6), 4046-4057, 2022
242022
Extracting processing and testing parameters from materials science literature for improved property prediction of glasses
M Zaki, NMA Krishnan
Chemical Engineering and Processing-Process Intensification 180, 108607, 2022
182022
Machine learning-aided cost prediction and optimization in construction operations
V Sharma, M Zaki, KN Jha, NMA Krishnan
Engineering, Construction and Architectural Management 29 (3), 1241-1257, 2022
152022
Elucidating the constitutive relationship of calcium–silicate–hydrate gel using high throughput reactive molecular simulations and machine learning
GA Lyngdoh, H Li, M Zaki, NMA Krishnan, S Das
Scientific reports 10 (1), 1-15, 2020
132020
MaScQA: Investigating Materials Science Knowledge of Large Language Models
M Zaki, J Jayadeva, M Mausam, NMA Krishnan
Digital Discovery, 2024
10*2024
Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning
S Mannan, M Zaki, S Bishnoi, DR Cassar, J Jiusti, JCF Faria, ...
Acta Materialia 255, 119046, 2023
102023
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
T Gupta, M Zaki, D Khatsuriya, K Hira, NM Krishnan, Mausam
arXiv preprint arXiv:2207.01079, 2022
102022
Natural language processing-guided meta-analysis and structure factor database extraction from glass literature
M Zaki, SR Namireddy, T Pittie, V Bihani, SR Keshri, V Venugopal, ...
Journal of Non-Crystalline Solids: X 15, 100103, 2022
72022
Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships
S Singla, S Mannan, M Zaki, NMA Krishnan
Journal of Physics: Materials 6 (2), 024003, 2023
62023
Interpretable Machine Learning Approach for Identifying the Tip Sharpness in Atomic Force Microscopy
M Zaki, S Kasimuthumaniyan, S Sahoo, NN Gosvami, NMA Krishnan
Scripta Materialia 221, 114965, 2022
42022
Glassomics: An omics approach toward understanding glasses through modeling, simulations, and artificial intelligence
M Zaki, A Jan, NMA Krishnan, JC Mauro
MRS Bulletin 48 (10), 1026-1039, 2023
32023
Cementron: Machine learning the alite and belite phases in cement clinker from optical images
M Zaki, S Sharma, SK Gurjar, R Goyal, NMA Krishnan
Construction and Building Materials 397, 132425, 2023
32023
Reconstructing the materials tetrahedron: challenges in materials information extraction
K Hira, M Zaki, D Sheth, NMA Krishnan
Digital Discovery 3 (5), 1021-1037, 2024
22024
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