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Mohammad Ramezanzadeh

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Dehghani, Ali / Bahlakeh, Ghasem / Ramezanzadeh, Bahram / hossein Mostafatabar, Amir / Ramezanzadeh, Mohammad (2020): Estimating the synergistic corrosion inhibition potency of (2-(3,4-)-3,5,7-trihydroxy-4H-chromen-4-one) and trivalent-cerium ions on mild steel in NaCl solution. In: Construction and Building Materials, v. 261 (November 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.119923

  2. Majd, Mehdi Tabatabaei / Ramezanzadeh, Mohammad / Bahlakeh, Ghasem / Ramezanzadeh, Bahram (2020): Steel corrosion lowering in front of the saline solution by a nitrogen-rich source of green inhibitors: Detailed surface, electrochemical and computational studies. In: Construction and Building Materials, v. 254 (September 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.119266

  3. Majd, Mehdi Tabatabaei / Davoudi, Mahsa / Ramezanzadeh, Mohammad / Ghasemi, Ebrahim / Ramezanzadeh, Bahram / Mahdavian, Mohammad (2020): Construction of a smart active/barrier anti-corrosion system based on epoxy-ester/zinc intercalated kaolin nanocontainer for steel substrate. In: Construction and Building Materials, v. 247 (Juni 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118555

  4. Dehghani, Ali / Bahlakeh, Ghasem / Ramezanzadeh, Bahram / Ramezanzadeh, Mohammad (2020): Potential role of a novel green eco-friendly inhibitor in corrosion inhibition of mild steel in HCl solution: Detailed macro/micro-scale experimental and computational explorations. In: Construction and Building Materials, v. 245 (Juni 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118464

  5. Nikpour, Saman / Ramezanzadeh, Mohammad / Bahlakeh, Ghasem / Ramezanzadeh, Bahram / Mahdavian, Mohammad (2019): Eriobotrya japonica Lindl leaves extract application for effective corrosion mitigation of mild steel in HCl solution: Experimental and computational studies. In: Construction and Building Materials, v. 220 (September 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.06.005

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