output
20212025
most citedAccurate prediction of the properties of materials using the CAM-B3LYP Density Functional

96 citations

13 papers

cs.HC2025★ 7 cited

Exploring ChatGPT's Capabilities, Stability, Potential and Risks in Conducting Psychological Counseling through Simulations in School Counseling

Yang Ni, Yanzhuo Cao

This study explores ChatGPT's capabilities, stability, and risks in simulating psychological counseling sessions in a school counseling context. Using scripted role-plays between a…

cond-mat.mtrl-sci2025

Large longitudinal and anomalous transverse Magneto-thermoelectric effect in kagome antiferromagnet FeGe

Jiajun Ma, Rong Chen, Yazhou Li +14

Topological Kagome magnets, characterized by nontrivial electronic band structures featuring flat band, Dirac cone and van Hove singularities, provide a new avenue for the realizat…

cs.IR2025★ 14 cited

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction

Xiaoxi Cui, Weihai Lu, Yu Tong +2

In click-through rate prediction, click-through rate prediction is used to model users' interests. However, most of the existing CTR prediction methods are mainly based on the ID m…

cond-mat.mtrl-sci2025

Chemical control of polymorphism and ferroelectricity in PbTiO3 and SrTiO3 monolayers and bilayers

Shaowen Xu, Jeffrey R. Reimers, Fanhao Jia +1

Layers of perovskites, found in 3D materials, 2D heterostructures, and nanotubes, often distort from high symmetry to facilitate dipole polarisation that is exploitable in many app…

cs.DL2025★ 14 cited

Red alert: Millions of "homeless" publications in Scopus should be resettled

Weishu Liu, Haifeng Wang

Scopus is increasingly regarded as a high-quality and reliable data source for research and evaluation of scientific and scholarly activity. However, a puzzling phenomenon has been…

cs.IR2025★ 20 cited

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising

Xiaoxi Cui, Weihai Lu, Yu Tong +2

The sequential recommendation system utilizes historical user interactions to predict preferences. Effectively integrating diverse user behavior patterns with rich multimodal infor…

cond-mat.supr-con2024★ 8 cited

The electronic structure and disorder effect of LaNiO superconductor

Yuxin Wang, Yi Zhang, Kun Jiang

Determining the electronic structure of LaNiO is an essential step towards uncovering their superconducting mechanism. It is widely believed that the bilayer apical oxy…

cond-mat.supr-con2024

Spin-triplet pair density wave superconductors

Yi Zhang, Ziqiang Wang

Recent experiments have shown that the nonzero center of mass momentum pair density wave (PDW) is a widespread phenomenon observed over different superconducting materials. However…

quant-ph2023★ 2 cited

Active Learning in Physics: From 101, to Progress, and Perspective

Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert +1

Active Learning (AL) is a family of machine learning (ML) algorithms that predates the current era of artificial intelligence. Unlike traditional approaches that require labeled sa…

cs.DL2022★ 12 cited

Citation advantage of COVID-19 related publications

Weishu Liu, Xuping Huangfu, Haifeng Wang

With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of COVID-19 relat…

cond-mat.mtrl-sci2021★ 15 cited

Commensurate stacking phase transitions in an intercalated transition metal dichalcogenide

Xiaohui Yang, Jin-Ke Bao, Zhefeng Lou +17

Intercalation and stacking order modulation are two active ways in manipulating the interlayer interaction of transition metal dichalcogenides (TMDCs), which lead to a variety of e…

eess.SY2021★ 1 cited

Consensus-Based Decentralized Energy Trading for Distributed Energy Resources

Zhenyu Wang, Xiaoyu Zhang, Hao Wang

In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential househo…

cond-mat.mtrl-sci2021★ 96 cited

Accurate prediction of the properties of materials using the CAM-B3LYP Density Functional

Musen Li, Jeffrey R. Reimers, Michael J. Ford +2

Density functionals with asymptotic corrections to the long-range potential provide entry-level methods for calculations on molecules that can sustain charge transfer, but similar…