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From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

physics.chem-ph2026

Correlation-consistent Gaussian basis sets for copper solids from material-constrained atomic optimization

Jincheng Yu, Xiaoyu Zhang, Min-Ye Zhang +3

The authors introduce a material-constrained atomic optimization (MCAO) framework to generate correlation‑consistent Gaussian basis sets for copper solids that avoid linear‑depende…

physics.chem-ph2026

Eliminating Delocalization Error through Localized Orbital Scaling Correction with Orbital Relaxation from Linear Response

Yichen Fan, Jincheng Yu, Jiayi Du +1

Despite the great success that Kohn-Sham density functional theory (KS-DFT) has achieved, the delocalization error remains a major challenge for commonly used density functional ap…

cond-mat.str-el2026

Ab Initio Many Body Quantum Embedding and Local Correlation in Crystalline Materials using Interpolative Separable Density Fitting

Junjie Yang, Ning Zhang, Shunyue Yuan +3

We present an efficient implementation of ab initio many-body quantum embedding and local correlation methods for infinite periodic systems through translational symmetry adapted i…

physics.chem-ph2025

LibppRPA: An Open-Source Library for Particle-Particle Random Phase Approximation

Jincheng Yu, Jiachen Li, Chaoqun Zhang +2

The accurate description of electron correlation and excitation energies remains a fundamental challenge in quantum chemistry. The particle-particle random phase approximation (ppR…

physics.chem-ph2024

Accurate and Efficient Prediction of Double Excitation Energies Using the Particle-Particle Random Phase Approximation

Jincheng Yu, Jiachen Li, Tianyu Zhu +1

Double excitations are crucial to understanding numerous chemical, physical, and biological processes, but accurately predicting them remains a challenge. In this work, we explore…