Ítems similars

• VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials
  per: Gouvêa, Rogério Almeida, et al.
  Publicat: (2026)
• Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design
  per: Babu, Anand, et al.
  Publicat: (2026)
• SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
  per: Babu, Anand
  Publicat: (2024)
• Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability
  per: Gouvêa, Rogério Almeida, et al.
  Publicat: (2025)
• InvDesFlow-AL: active learning-based workflow for inverse design of functional materials
  per: Han, Xiao-Qi, et al.
  Publicat: (2025)