Những quyển sách tương tự

• $Δ$-Machine Learning to Elevate DFT-based Potentials and a Force Field to the CCSD(T) Level Illustrated for Ethanol
  Bằng: Nandi, Apurba, et al.
  Được phát hành: (2024)
• "Gold-Standard" $Δ$-Machine Learned and Transferable Potential for Linear Alkanes
  Bằng: Qu, Chen, et al.
  Được phát hành: (2025)
• No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials
  Bằng: Houston, Paul L., et al.
  Được phát hành: (2024)
• Permutationally invariant polynomial regression for energies and gradients, using reverse differentiation, achieves orders of magnitude speed-up with high precision compared to other machine learning methods
  Bằng: Houston, Paul L., et al.
  Được phát hành: (2021)
• VPT2 Calculations of Vibrational Energies of CH3COOC6H4COOH Done in Seconds on a Laptop Using a Machine Learned Potential
  Bằng: Kotaru, Saikiran, et al.
  Được phát hành: (2026)