Skip to Main Content U.S. Department of Energy
Energy and Environment Directorate

Mohammad Fuad Nur Taufique

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 375-5581

PNNL Publications

2024

  • Chowdhury S.A., M. Taufique, J. Wang, M. Masden, M. Wenzlick, R. Devanathan, and A.L. Schemer-Kohrn, et al. 2024. "Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy." Integrating Materials and Manufacturing Innovation 13. PNNL-SA-184695. doi:10.1007/s40192-023-00305-7
  • Frazier W.E., A. Visweswara Sathanur, M. Taufique, R. Devanathan, and K.S. Kappagantula. 2024. "Monte Carlo Simulations of 347H Stainless Steel Aging for the Synthetic Generation of Microstructures Under Creep Conditions." Metallurgical and Materials Transactions A - Physical Metallurgy and Materials Science 55, no. 10:4026-4034. PNNL-SA-177884. doi:10.1007/s11661-024-07477-7
  • Glass S.W., J.R. Tedeschi, M. Elen, J. Son, M. Taufique, V. Kumar, and M.K. Hasan, et al. 2024. SSTDR and FDR Detection of Un-Energized and Energized Cable Anomalies Including Thermal Degradation Using Machine Learning. PNNL-36573. Richland, WA: Pacific Northwest National Laboratory. SSTDR and FDR Detection of Un-Energized and Energized Cable Anomalies Including Thermal Degradation Using Machine Learning
  • Glass S.W., J.R. Tedeschi, M.P. Spencer, J. Son, M. Taufique, D. Li, and M. Elen, et al. 2024. "Spread spectrum time domain reflectometry (SSTDR) and frequency domain reflectometry (FDR) cable inspection using machine learning." In Proceedings of the ASME 2024 51st Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE2024), QNDE2024-133645, V001T11A001. New York, New York:American Society of Mechanical Engineers. PNNL-SA-195124. doi:10.1115/QNDE2024-133645
  • Hamid M., B. Samuels, S. Karmakar, M. Halim, I. Emu, P. Sarkar, and M. Taufique, et al. 2024. "Epitaxial Growth and Characterization of Magnesium Gallate (MgGa2O4) Thin Films by Pulsed Laser Deposition." Journal of Alloys and Compounds 972. PNNL-SA-190299. doi:10.1016/j.jallcom.2023.172807
  • Shaikh S., M. Taufique, K. Balusu, S.S. Kulkarni, F. Hale, J.K. Oleson, and R. Devanathan, et al. 2024. "Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness." Applied Composite Materials 31, no. 5:1475-1493. PNNL-SA-184696. doi:10.1007/s10443-024-10218-z

2023

  • Roy A., A. Hussain, P. Sharma, G. Balasubramanian, M. Taufique, R. Devanathan, and P. Singh, et al. 2023. "Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model." Acta Materialia 257. PNNL-SA-184145. doi:10.1016/j.actamat.2023.119177
  • Taufique M., I. van Rooyen, S. Biswas, M. Mcmurtrey, M. Swisher, M. Messner, and S. Mantri, et al. 2023. MDDC Multi-Length Scale Data Architecture Contribution Report - PNNL, INL, ANL, LANL and ORNL. PNNL-35009. Richland, WA: Pacific Northwest National Laboratory. MDDC Multi-Length Scale Data Architecture Contribution Report - PNNL, INL, ANL, LANL and ORNL
  • Taufique M., M. Losada, S. Hamel, N. Goldman, M. DiTucci, L. Pagnotti, and D. Willis, et al. 2023. "Molecular Dynamics Simulation of Hygroscopic Aging Effects in Epoxy Polymer." Integrating Materials and Manufacturing Innovation 12, no. 3:185-195. PNNL-SA-161079. doi:10.1007/s40192-023-00296-5
  • Taufique M., M.C. Macduff, S. Bai, D.S. McAllester, M.G. Mamun, J. Wang, and M.R. Kieburtz, et al. 2023. Data Archive and Portal (DAP) Platform for Solid Phase Processing Technologies. PNNL-34266. Richland, WA: Pacific Northwest National Laboratory. Data Archive and Portal (DAP) Platform for Solid Phase Processing Technologies

2022

  • Ahsan S., A. Rauf, M. Taufique, H.A. Jame, S. Sarker, S. Nishat, and M. Islam, et al. 2022. "Feasibility Study of Mg Storage in Bilayer Silicene Anode Via Application of External Electric Field." RSC Advances 12, no. 32:20583 - 20598. PNNL-SA-168261. doi:10.1039/d2ra02475f
  • Mamun M.G., M. Taufique, M. Wenzlick, J.A. Hawk, and R. Devanathan. 2022. "Uncertainty Quantification for Bayesian Active Learning in Rupture Life Prediction of Ferritic Steels." Scientific Reports 12, no. 1:Art. No. 2083. PNNL-SA-166048. doi:10.1038/s41598-022-06051-8
  • Roy A., M. Taufique, H. Khakurel, R. Devanathan, D.D. Johnson, and G. Balasubramanian. 2022. "Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys." npj Materials Degradation 6, no. 1:Art. No. 9. PNNL-SA-170502. doi:10.1038/s41529-021-00208-y
  • Roy A., M. Taufique, H. Khakurel, R. Devanathan, D.D. Johnson, and G. Balasubramanian. 2022. "Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys." npj Materials Degradation 6, no. 1:Art. No. 9. PNNL-SA-159832. doi:10.1038/s41529-021-00208-y

2021

  • Khakurel H., M. Taufique, A. Roy, G. Balasubramanian, G. Ouyang, J. Cui, and D.D. Johnson, et al. 2021. "Machine Learning Assisted Prediction of the Young's Modulus of Compositionally Complex Alloys." Scientific Reports 11, no. 1:17149. PNNL-SA-158789. doi:10.1038/s41598-021-96507-0

2019

  • Shin Y., M.N. Taufique, R. Devanathan, E.C. Cutsforth, J. Lee, W. Liu, and L.S. Fifield, et al. 2019. "Highly Selective Supported Graphene Oxide Membranes for Water-Ethanol Separation." Scientific Reports 9, no. 1:Article No. 2251. PNNL-SA-130472. doi:10.1038/s41598-019-38485-y

Energy and Environment

Core Research Areas

Contacts