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Source channel @githubtrending · Post #14744 · May 24

#jupyter_notebook#mujoco#physics#robotics MuJoCo is a powerful physics engine that helps researchers and developers simulate complex movements and interactions, especially in robotics and machine learning. It provides fast and accurate simulations, which are crucial for understanding how objects move and interact with their environment. MuJoCo is beneficial because it allows users to create realistic models of multi-joint systems, compute both forward and inverse dynamics, and even handle contacts and constraints effectively. This makes it a valuable tool for those working in fields like robotics, biomechanics, and animation[1][2][5]. https://github.com/google-deepmind/mujoco

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🟣 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