Forecast of the Chemical Aging and Relevant Color Changes in Painting
B. Zilbergleyt
Abstract
The article describes the potential application of thermodynamic simulation to forecast chemical aging and relevant color changes in painting. Qualitative and numerical results were obtained by applying the method to various mixtures of pigments without and with atmospheric components. The results were compared to the legendary recommendations on incompatible pigment mixtures with about an 80 percent match regarding potential color changes in the aged mixtures. Results for the cadmium yellow-lead white and cadmium lemon-emerald green mixtures are illustrated by pictures, gradually showing color changes caused by the aging. The method of thermodynamic simulation can be a powerful tool to investigate old masterpieces, in developing new materials, and to forecast some aspects of the aging of real masterpieces.
Create a lesson
Related papers
When optimized geometries are not optimal: Implications for inverted singlet-triplet gap predictions
Atreyee Majumdar, Elamathi Selvan Samynathan, Raghunathan Ramakrishnan
Open-shell Configuration State Functions as trial states for phaseless auxiliary-field quantum Monte Carlo
Don Danilov, Hugh G. A. Burton, James Shee
Machine Learning the Complete Active-Space Wavefunction Reconstruction
Aniruddha Seal, Bhavnesh Jangid, Helen S. Clifford et al.
Brueckner Orbitals in Local Pair Natural Orbital Coupled-Cluster Theory: DLPNO-BCCD(T) and DLPNO-BCCD(T)Lambda2
Andy Jiang, Tibor Gyori, Elizabeth C. Toth et al.
Exact periodic electrostatics for latent-charge machine-learning potentials
Eslam Ibrahim
Exploiting floating point emulation in tensor contractions in relativistic coupled cluster theory
Maxime Le, Ryan Benazzouk, Jan Brandejs et al.