Mechanistic Insights into the Oxygen Evolution Reaction on Nickel-Doped Barium Titanate via Machine Learning-Accelerated Simulations

Ähnliche Einträge

• Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys
  von: Wei, Zixiong, et al.
  Veröffentlicht: (2024)
• A cost-effective strategy of enhancing machine learning potentials by transfer learning from a multicomponent dataset on ænet-PyTorch
  von: Aisnadaa, An Niza El, et al.
  Veröffentlicht: (2024)
• Scalable Training of Neural Network Potentials for Complex Interfaces Through Data Augmentation
  von: Yeu, In Won, et al.
  Veröffentlicht: (2024)
• Revealing Nanostructures in High-Entropy Alloys via Machine-Learning Accelerated Scalable Monte Carlo Simulation
  von: Liu, Xianglin, et al.
  Veröffentlicht: (2025)
• High-Throughput GW Calculations via Machine Learning
  von: Abdelghany, Ragab. A., et al.
  Veröffentlicht: (2025)