Just accepted! Accurately predicting solvation entropy, enthalpy and free energy simultaneously with a multi-task CNN!
#compchem#deeplearning
Check it out here:
https://t.co/hXw6AK4rK5
1D-RISM predictions of solvation free energies are inaccurate, but can be corrected using empirical data. Palmer et al. have developed a deep learning solver which makes this faster and more flexible. Find out more in today's featured article: https://t.co/562TmJbVBa #openaccess
Very happy to see this published! #compchem
Accurately Predicting Solvation Free Energy in Aqueous and Organic Solvents beyond 298K by Combining Deep Learning and the 1D Reference Interaction Site Model
Check it out here:
https://t.co/EIJKGw7ZR6
Representing the @scotch_research group while attending the @ukqsar spring meeting today was a great experience! Had a lot of fun discussing my poster on physics-based intrinsic solubility computation. #chemtwitter
@JGBrandenburg Using the previous DMACRYS/Gaussian method, intramolecular vibrations were assumed to be the same in gas and crystal. With the newer method involving CASTEP phonon mode calculations, these intramolecular contributions are included!
Very surreal to see my name on a paper! Looking forward to working further on this approach!
Toward Physics-Based Solubility Computation for Pharmaceuticals to Rival Informatics
https://t.co/3ua5RuoFcf