Lokesh Sharma

Employment

• G L A University Assistant Professor
  2014 - Present

Education

• GLA University Ph.D in COSMOLOGY
  2016 - 2020
• Chaudhary Charan Singh University M.Sc
  2006 - 2008
• M.J.P. Rohilkhand University B.Sc
  2003 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Constraining Bianchi type-I universe in f(Q) gravity by Bayesian and deep learning methods
  International Journal of Geometric Methods in Modern Physics 2026 DOI: 10.1142/S0219887825503104
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• Self-Healing Polymer Nanocomposites: Mechanisms, Structure–Property Relationships, and Emerging Applications
  Polymers 2026 DOI: 10.3390/polym18020276
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• Interphase-Centric and Mechanism-Driven Advances in Polymer Composites Reinforced with Nano-, Synthetic, and Inorganic Fillers
  Polymers 2026 DOI: 10.3390/polym18030323
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• Graphene/CNT Nanocomposites: Processing, Properties, and Applications
  Nanomaterials 2026 DOI: 10.3390/nano16020100
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• From Processing to Performance: Innovations and Challenges in Ceramic-Based Materials
  Crystals 2026 DOI: 10.3390/cryst16020085
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• Friction Stir Processing: An Eco-Efficient Route to High-Performance Surface Architectures in MMCs
  Processes 2026 DOI: 10.3390/pr14020306
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• Preparation and Mechanical Characterization of Mg Alloy/HAp Composite by Powder Metallurgy
  Journal of Molecular and Engineering Materials 2026 DOI: 10.1142/S2251237325500194
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• Mechanistic Structure–Property Relationships in Carbon/Polymer Composites: Connectivity, Junction Resistance, and Durability
  Polymers 2026 DOI: 10.3390/polym18101220
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• Deep learning and Bayesian parameter inference for Kaniadakis Holographic Dark Energy models
  Astronomy and Computing 2026 DOI: 10.1016/j.ascom.2026.101120
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• A comparative analysis of Bayesian and deep learning methods for constraining Kaniadakis holographic dark energy
  Nuclear Physics B 2026 DOI: 10.1016/j.nuclphysb.2026.117484
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