The Journal of Chemical Physics

Vol. 163, Issue 21 Issue 21 2025
56
Articles

Articles in this Issue

Magnetic energy investigations on Ni2(PO4) (OH) and NaNiPO4

Joseph Kolis, Adolph Beyerlein Dec 07, 2025 10.1063/5.0288909

The Ni–Ni magnetic exchange parameters for the one-dimensional structures Ni2(PO4) (OH) and NaNiPO4 were calculated using the combined SIESTA_TB2J programs. This approach facilitates the generation of...

Intriguing methylation effects in cobaltocene revealed by high-resolution MATI spectroscopy and <i>ab initio</i> calculations of (η5-C5H4Me)2Co

S. Yu. Ketkov, S.-Y. Tzeng, E. A. Rychagova et al. Dec 07, 2025 10.1063/5.0304088

Cobaltocene, such as ferrocene, is a key member of the organometallic family. Many of its applications in molecular electronics are based on the low ionization energy (IE), which can be tuned by ring...

Density functional theory study of mesophase formation in model lipid systems

Sahire Azam Ansary, Gianmarco Munaò, Valeria Conti Nibali Dec 07, 2025 10.1063/5.0289910

The emergence of mesophases in phospholipids is a fascinating phenomenon, which finds application in a wealth of research fields, from designing of building blocks to drug delivery. Here, we investiga...

Homogeneous nucleation of undercooled Al–Ni melts via a machine-learned interaction potential

Johannes Sandberg, Thomas Voigtmann, Emilie Devijver et al. Dec 07, 2025 10.1063/5.0299431

Homogeneous nucleation processes are important for understanding solidification and the resulting microstructure of materials. Simulating this process requires accurately describing the interactions b...

System–bath modeling in vibrational spectroscopy via molecular dynamics: A machine learning framework for hierarchical equations of motion (HEOM)

Kwanghee Park, Ju-Yeon Jo, Yoshitaka Tanimura Dec 07, 2025 10.1063/5.0300203

Molecular vibrations in solutions, especially OH stretching and bending in water, drive ultrafast energy relaxation and dephasing in chemical and biological systems. We present a machine learning appr...

From higher-order moments to time correlation functions in strongly correlated systems: A DMRG-based memory kernel coupling theory

Yunhao Liu, Wenjie Dou Dec 07, 2025 10.1063/5.0300474

We introduce a hybrid approach for computing dynamical observables in strongly correlated systems using higher-order moments. This method integrates memory kernel coupling theory (MKCT) with the densi...

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Journal Info

Publisher American Institute of Physics
ISSN 0021-9606
E-ISSN 1089-7690
Subject Physical Sciences
Language English
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