M. F. N. Taufique

Pacific Northwest National Laboratory — United States

Materials Science · Physical Sciences

15h-index790citations52works2.12yr avg
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Research Topics

Machine Learning in Materials Science(7), ZnO doping and properties(6), Perovskite Materials and Applications(6), Quantum Dots Synthesis And Properties(5), Copper-based nanomaterials and applications(5)

Publications52 total

Effects of Short-Chain Branching on Morphology and Free Volume in Polyethylene under Hydrogen Pressurization Studied by <sup>1</sup> H, <sup>13</sup> C, and <sup>129</sup> Xe NMR
The Journal of Physical Chemistry B·2025· 1 cited
Generalizable image segmentation for microstructure characterization through integrated SEM and EBSD analysis
npj Computational Materials·2025Open Access
Micro-structural features and material properties impact on adhesive metal joints via computational modeling and machine learning
Results in Surfaces and Interfaces·2025· 2 citedOpen Access
Machine Learning Applied to Thermally Aged Cable Reflectometry
2025
Materials Characterization, Prediction and Control Project: Summary Report on Data Analytics Framework
2024Open Access
SSTDR and FDR Detection of Un-Energized and Energized Cable Anomalies Including Thermal Degradation Using Machine Learning
2024Open Access
SSTDR and FDR Detection of Un-Energized and Energized Cable Anomalies Including Thermal Degradation Using Machine Learning
2024Open Access
Monte Carlo Simulations of 347H Stainless Steel Aging for the Synthetic Generation of Microstructures Under Creep Conditions
Metallurgical and Materials Transactions A·2024· 1 citedOpen Access
Spread Spectrum Time Domain Reflectometry (SSTDR) and Frequency Domain Reflectometry (FDR) Cable Inspection Using Machine Learning
2024
Correction: Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness
Applied Composite Materials·2024Open Access
Correction: Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness
Applied Composite Materials·2024Open Access
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness
Applied Composite Materials·2024· 11 citedOpen Access
Machine learning guided prediction of the yield strength and hardness of multi-principal element alloys
Materials Open Research·2024· 4 cited
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy
Integrating materials and manufacturing innovation·2024· 11 citedOpen Access
Epitaxial growth and characterization of magnesium gallate (MgGa2O4) thin films by pulsed laser deposition
Journal of Alloys and Compounds·2023· 16 citedOpen Access
Machine learning guided prediction of the yield strength and hardness of multi-principal element alloys
Materials Open Research·2023· 2 cited
Spread Spectrum Time Domain Reflectometry (SSTDR) and Frequency Domain Reflectometry (FDR) for Detection of Cable Anomalies Using Machine Learning
2023Open Access
MDDC Multi-Length Scale Data Architecture Contribution Report – PNNL, INL, ANL, LANL and ORNL
2023Open Access
Spread Spectrum Time Domain Reflectometry (SSTDR) and Frequency Domain Reflectometry (FDR) for Detection of Cable Anomalies Using Machine Learning
2023Open Access
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Ram Devanathan(20), Ariful Haque(9), Ankit Roy(6), D. D. Johnson(6), Ganesh Balasubramanian(6), Jonathan R. Tedeschi(6), Priyanka Karnati(5), Kartik Ghosh(5), Leonard S. Fifield(5), Shank S. Kulkarni(5), Forrest Hale(5), Ayoub Soulami(5), Soumik Banerjee(5), Osman Mamun(5), S. W. Glass(5), Mychal P. Spencer(5), Ahmad Al Rashdan(5), Jacob Farber(5), Hrishabh Khakurel(4), Kazi Md. Shorowordi(4)