The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics.
In recent years, novel developments have significantly advanced our understanding of surface wettability and liquid repellency. Controlled wetting allows the manipulation of liquids and solids on macroscopic length scales based…
Machine learning (ML) is changing the way we approach molecular simulations. By translating ab-initio calculations into neural networks, it is possible to reach sizes and time scales not possible before…
The push towards exascale computing hardware has led to supercomputers with remarkable computing capacity. At the same time, there are also dramatic increases in the computing power of single workstations,…
It was 40 years ago that the report of quantum confinement in colloidal nanocrystals first appeared in the Journal of Chemical Physics, authored by Rossetti, Nakahara, and Brus (J. Chem.…
The application of machine-learning techniques to atomistic modeling of physics, chemistry and materials science is blooming, and machine learning is becoming an integral part of the toolbox of molecular simulations.…
This issue comprises studies into the fundamental relationship between chiral matter and electronic spin. Chiral induced spin selectivity (CISS) refers to spin-dependent electron transmission and electron displacement in chiral matter.…
Announcing the 2023 Emerging Investigators Collection and Awards! The Journal of Chemical Physics is committed to recognizing the excellent work of early career investigators. We are therefore proud to open the…