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PARSEC.py: A Python‐Based Real‐Space Kohn–Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density

open access: yesJournal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang   +4 more
wiley   +1 more source

Simple non-invasive in vivo measurement of stress difference in the skin. [PDF]

open access: yesBiomech Model Mechanobiol
Broderick HC   +3 more
europepmc   +1 more source

Quantifying subsurface fracture damage in glaciers using fiber-optic seismology. [PDF]

open access: yesSci Adv
Hudson TS   +6 more
europepmc   +1 more source

Quantifying tissue viscoelasticity using optical coherence elastography and the Rayleigh wave model. [PDF]

open access: yesJ Biomed Opt, 2016
Han Z   +8 more
europepmc   +1 more source

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