Harsh Kumar Bhardwaj

Employment

Employment history is unavailable.

Education

• Motilal Nehru National Institute of Technology PhD
  2021 - 2026

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A multi-physics-informed neural network framework for dual prediction of creep residual life and damage fraction in austenitic stainless steels
  Journal of the Brazilian Society of Mechanical Sciences and Engineering 2026 DOI: 10.1007/s40430-026-06565-6
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• Machine Learning-Based Improved Creep Life Prediction of 316 Austenitic Stainless Steel with Add-on Chemical and Microstructural Features
  Journal of Materials Engineering and Performance 2025 DOI: 10.1007/s11665-025-11330-2
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• Corrosion fatigue life prediction of multiple austenitic stainless steel grades in high-temperature, high-pressure water environments using a GA-optimized neural network
  Scientific Reports 2025 DOI: 10.1038/s41598-025-23240-3
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• Enhanced fatigue crack growth rate prediction in alloy steels using particle swarm optimized neural network
  Theoretical and Applied Fracture Mechanics 2025 DOI: 10.1016/j.tafmec.2024.104826
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• A unified creep and fatigue life prediction approach for 316 austenitic stainless steel using machine and deep learning
  Fatigue & Fracture of Engineering Materials & Structures 2024 DOI: 10.1111/ffe.14379
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• Crack Growth Prediction Models for a Pre-defined Semi-elliptical Crack Embedded in a Cantilever Bar Using Supervised Machine Learning Algorithms
  2024 DOI: 10.1007/978-981-99-5613-5_11
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• Low-cycle fatigue life prediction of austenitic stainless steel alloys: A data-driven approach with identification of key features
  International Journal of Fatigue 2024 DOI: 10.1016/j.ijfatigue.2024.108454
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• FEM-based design and free vibration analysis of composite plate
  Additive Manufacturing in Industry 4.0: Methods, Techniques, Modeling, and Nano Aspects 2022 DOI: 10.1201/9781003360001-5
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• Static and dynamic behavior analysis of Al-6063 alloy using modified Hopkinson bar
  Additive Manufacturing in Industry 4 0 Methods Techniques Modeling and Nano Aspects 2022 DOI: 10.1201/9781003360001-6
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• Review of Recent Advancements Made In Flexible Energy Storage Devices
  IOP Conference Series: Materials Science and Engineering 2021 DOI: 10.1088/1757-899x/1104/1/012040
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