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Issues
December 2024
EISSN 2688-4070
In this Issue
EDITORIALS
Chemical Physics Reviews as a platform for the chemical physics community: The first four years
Chem. Phys. Rev. 5, 040401 (2024)
https://doi.org/10.1063/5.0235808
REVIEWS
Metal–metal oxide hybrid catalysts for electrocatalytic CO2 reduction reaction
Chem. Phys. Rev. 5, 041302 (2024)
https://doi.org/10.1063/5.0223542
Electrochemical transformation of 2D materials to their quantum dots
Chem. Phys. Rev. 5, 041303 (2024)
https://doi.org/10.1063/5.0219794
Supramolecular synthons, tectons, and crystal structures of noncovalent organic frameworks
Chem. Phys. Rev. 5, 041304 (2024)
https://doi.org/10.1063/5.0238032
Catalyst development for electrochemical hydrogenation of biomass-derived platform molecules
Kaidi Zhang; Yiwei Sun; Ziyao Chen; Mengyang Dong; Huaiqin Fu; Yiming Xu; Yu Zou; Mengqing Hu; Bo Fu; Xinyu Wang; Waseem Ahmad; Liang Wang; Lei Zhang; Ming Zhou; Yun Wang; Huajie Yin; Porun Liu; Huijun Zhao
Chem. Phys. Rev. 5, 041306 (2024)
https://doi.org/10.1063/5.0205930
Sparse Gaussian process based machine learning first principles potentials for materials simulations: Application to batteries, solar cells, catalysts, and macromolecular systems
Soohaeng Yoo Willow; Amir Hajibabaei; Miran Ha; David ChangMo Yang; Chang Woo Myung; Seung Kyu Min; Geunsik Lee; Kwang S. Kim
Chem. Phys. Rev. 5, 041307 (2024)
https://doi.org/10.1063/5.0231265
Chiral metal-containing semiconductor nanocrystals: Construction, optical activity, and application
Chem. Phys. Rev. 5, 041308 (2024)
https://doi.org/10.1063/5.0221573
ARTICLES
Elemental diffusion coefficient prediction in conventional alloys using machine learning
In Special Collection:
AI and Machine Learning in Chemical and Materials Science
Chem. Phys. Rev. 5, 041402 (2024)
https://doi.org/10.1063/5.0222001
Artificial-intelligence-driven shot reduction in quantum measurement
In Special Collection:
AI and Machine Learning in Chemical and Materials Science
Chem. Phys. Rev. 5, 041403 (2024)
https://doi.org/10.1063/5.0219663
Small tensor product distributed active space (STP-DAS) framework for relativistic and non-relativistic multiconfiguration calculations: Scaling from 109 on a laptop to 1012 determinants on a supercomputer
Hang Hu; Shiv Upadhyay; Lixin Lu; Andrew J. Jenkins; Tianyuan Zhang; Agam Shayit; Stefan Knecht; Xiaosong Li
Chem. Phys. Rev. 5, 041404 (2024)
https://doi.org/10.1063/5.0227122
Recent progress in the theory of bulk photovoltaic effect
Zhenbang Dai, Andrew M. Rappe
Sparse Gaussian process based machine learning first principles potentials for materials simulations: Application to batteries, solar cells, catalysts, and macromolecular systems
Soohaeng Yoo Willow, Amir Hajibabaei, et al.
Multiscale and hierarchical reaction mechanism in a lithium-ion battery
Yuki Orikasa, Kentaro Yamamoto, et al.