Hasil Pencarian - Roland C. Aydin 

  • Menampilkan 1 - 6 hasil dari 6
Perbaiki Hasil
  1. 1
    Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches

    Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches oleh Anju Chandran, Archa Santhosh, Claudio Pistidda, Paul Jerabek, Roland C. Aydin, Roland C. Aydin, Christian J. Cyron, Christian J. Cyron

    Diterbitkan 2024-10-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data

    Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data oleh Trushal Sardhara , Roland C. Aydin , Yong Li , Nicolas Piché , Raynald Gauvin , Christian J. Cyron , Christian J. Cyron , Martin Ritter 

    Diterbitkan 2022-02-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

    Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models oleh Elisabeth J. Schiessler, Tim Würger, Sviatlana V. Lamaka, Robert H. Meißner, Christian J. Cyron, Mikhail L. Zheludkevich, Christian Feiler, Roland C. Aydin

    Diterbitkan 2021-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

    A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics oleh Frederic E. Bock, Roland C. Aydin, Christian J. Cyron, Christian J. Cyron, Norbert Huber, Norbert Huber, Surya R. Kalidindi, Benjamin Klusemann, Benjamin Klusemann

    Diterbitkan 2019-05-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

    Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features oleh Elisabeth J. Schiessler, Tim Würger, Bahram Vaghefinazari, Sviatlana V. Lamaka, Robert H. Meißner, Christian J. Cyron, Mikhail L. Zheludkevich, Christian Feiler, Roland C. Aydin

    Diterbitkan 2023-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions

    Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions oleh Jalil Nourisa, Antoine Passemiers, Farhad Shakeri, Maryam Omidi, Heike Helmholz, Daniele Raimondi, Yves Moreau, Sven Tomforde, Hartmuth Schlüter, Bérengère Luthringer-Feyerabend, Christian J. Cyron, Roland C. Aydin, Regine Willumeit-Römer, Berit Zeller-Plumhoff

    Diterbitkan 2024-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: