Reducing Data Requirements for Sequence-Property Prediction in Copolymer Compatibilizers via Deep Neural Network Tuning

Documenti analoghi

• Density Functional Theory Predictions of Derivative Thermodynamic Properties of a Confined Fluid
  di: Gor, Gennady Y., et al.
  Pubblicazione: (2026)
• Quantitatively Connecting Experimental Time-Temperature-Superposition-Breakdown of Polymers near the Glass Transition to Dynamic Heterogeneity via the Heterogeneous Rouse Model
  di: Yue, Peijing, et al.
  Pubblicazione: (2024)
• Predicting random close packing of binary hard-disk mixtures via third-virial-based parameters
  di: Santos, Andrés, et al.
  Pubblicazione: (2025)
• Structure and Dynamic Evolution of Interfaces between Polymer Solutions and Gels and Polymer Interdiffusion: A Molecular Dynamics Study
  di: Vishnu, Jude Ann, et al.
  Pubblicazione: (2024)
• Have you tried turning it off and on again? Stochastic resetting for enhanced sampling
  di: Blumer, Ofir, et al.
  Pubblicazione: (2025)