Асосий контентга ўтиш
AkademIndex

Маҳсулотлар

Ишлаб чиқувчилар учун

AkademBaseЭкотизим учун очиқ API
← Ишга қайтиш

Ушбу ишга иқтибос қилган ишлар

3 та иш

Иш: Machine learning prediction of hydrochar adsorption capacity for methylene blue with limited data: Inspired by generative adversarial network-based augmentation

  1. Effects of physical properties on the heavy metal adsorption of biochar via a robust approach

    Mahran Al-Zyoud, Salama A. Mostafa, Ibrahim Khersan +6

    МақолаAdsorption and biosorption for pollutant removalCurrent Research in Biotechnology20260 иқтибос
    ABI

  2. DFT Insights into the Adsorption Mechanisms and Electronic Modulation of α-Phographene Toward Metal and Molecular Species: From Physisorption to Quasi Covalent Binding

    Qamar Abuhassan, Ahmed Kareem Obaid Aldulaimi, Omayma Salim Waleed +8

    МақолаGraphene research and applicationsJournal of Inorganic and Organometallic Polymers and Materials20260 иқтибос
    ABI

  3. Predicting the Storage Modulus of Chromium‐Crosslinked Polymer Gels Through Advanced Machine Learning Techniques

    Farag M. A. Altalbawy, Raed H. C. Alfilh, Tarak Vora +8

    МақолаMachine Learning in Materials SciencePolymers for Advanced Technologies20260 иқтибос
    ABI