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Integrating solar-powered electric vehicles into sustainable energy systems

This Review discusses the integration of solar electric vehicles into energy systems, highlighting their potential to enhance energy efficiency, reduce emissions and support transport decarbonization through innovations in photovoltaics, batteries and energy management, while outlining key challenges and a roadmap for sustainable adoption.

Thomas Tongxin Li
Alexis Pengfei Zhao
Yue Xiang
Reviews09 Jun 2025
Nature Reviews Electrical Engineering

Volume: 2, P: 467-479
Vacancies tailoring lattice anharmonicity of Zintl-type thermoelectrics

Vacancies are traditionally considered to play a role of phonon-defect scattering. Here, the authors show that vacancies can induce phonon softening, enhance phonon anharmonicity, and cause a dramatic reduction in the lattice thermal conductivity.

Jinfeng Zhu
Qingyong Ren
Jie Ma
ResearchOpen Access23 Mar 2024
Nature Communications

Volume: 15, P: 1-11
Generation mechanism of behavioral risk for organizational decision-makers in financial institutions: organizational and human errors

Lijun Liang
Tongxin Dai
Mengwan Zhang
ResearchOpen Access13 Sept 2024
Humanities and Social Sciences Communications

Volume: 11, P: 1-10
Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images

Zhi Huang
Wei Shao
Zaibo Li
ResearchOpen Access27 Jan 2023
npj Precision Oncology

Volume: 7, P: 1-15
PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model

PepNet achieves accurate identification of both AIPs and AMPs by developing an interpretable neural network and applying a pre-trained protein language model.

Jiyun Han
Tongxin Kong
Juntao Liu
ResearchOpen Access28 Sept 2024
Communications Biology

Volume: 7, P: 1-13
TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network

TriFusion achieves accurate identification of associations between miRNAs and potential diseases by developing tri-channel graph neural network.

Sheng Long
Xiaoran Tang
Juntao Liu
ResearchOpen Access30 Aug 2024
Communications Biology

Volume: 7, P: 1-10
Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people

Wen Zhang
Juan Li
Biao Kan
ResearchOpen Access07 Feb 2019
Scientific Reports

Volume: 9, P: 1-10

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Integrating solar-powered electric vehicles into sustainable energy systems

Vacancies tailoring lattice anharmonicity of Zintl-type thermoelectrics

Generation mechanism of behavioral risk for organizational decision-makers in financial institutions: organizational and human errors

Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images

PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network

Gut microbiota community characteristics and disease-related microorganism pattern in a population of healthy Chinese people

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