#jupyter_notebook#jax
Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly.
https://github.com/google/flax
Новая работа регулярного выпуска👇
🟢 2022 🟢 V. 9 🟢 Issue 4 🟢 No. 20229405🟢
📜 Phosphorus-doped protonic conductors based on BaLanInnO3n+1 (n = 1, 2): applying oxyanion doping strategy to the layered perovskite structure
👩🎓👨🎓 N. Tarasova (https://orcid.org/0000-0001-7800-0172), A. Galisheva (https://orcid.org/0000-0003-4346-5644)
🏛 Institute of High Temperature Electrochemistry, http://www.ihte.uran.ru
📚#layered#perovskite#oxyanion#doping#proton#conductivity#BaLaInO4#BaLa2In2O7
🔗https://doi.org/10.15826/chimtech.2022.9.4.05
https://journals.urfu.ru/index.php/chimtech/article/view/5979
🟣 2024 🟣 V. 11 🟣 Issue 4 🟣 Art. 202411411 🟣 Article 🟣
Опубликована новая статья
📜 Impact of calcium and copper co-doping on the oxygen transport of layered nickelates: a case study of Pr1.6Ca0.4Ni1–yCuyO4+δ and a comparative analysis
👩🎓👨🎓 V. Sadykov (https://orcid.org/0000-0003-2404-0325), N. Eremeev (https://orcid.org/0000-0002-3494-2771), E. Sadovskaya, T. Zhulanova (https://orcid.org/0000-0002-8009-4398), S. Pikalov (https://orcid.org/0000-0001-6292-0468), Y. Fedorova, E. Pikalova (https://orcid.org/0000-0001-8176-9417)
🏛 Federal Research Center Boreskov Institute of Catalysis SB RAS https://en.catalysis.ru
🏛 Institute of High-Temperature Electrochemistry UB RAS, https://ihte.ru
🏛 Ural Federal University, https://urfu.ru/en
Institute of Metallurgy UB RAS, http://www.imeturan.ru
📚#SOFCs#SOECs#layered#nickelates#oxygen#transport#isotope#exchange
🔗https://doi.org/10.15826/chimtech.2024.11.4.11
https://journals.urfu.ru/index.php/chimtech/article/view/8073