Míreanna comhchosúla

• TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
  de réir: Wijaya, Kevin Tirta, et al.
  Foilsithe / Cruthaithe: (2024)
• Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
  de réir: Fu, Cong, et al.
  Foilsithe / Cruthaithe: (2025)
• From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning
  de réir: Min, Yaosen, et al.
  Foilsithe / Cruthaithe: (2022)
• Designing the Haystack: Programmable Chemical Space for Generative Molecular Discovery
  de réir: Zhu, Yuchen, et al.
  Foilsithe / Cruthaithe: (2026)
• Enhancing Protein-Ligand Binding Affinity Predictions using Neural Network Potentials
  de réir: Zariquiey, Francesc Sabanes, et al.
  Foilsithe / Cruthaithe: (2024)