4.8 Article

Li2S-based anode-free full batteries with modified Cu current collector

Journal

ENERGY STORAGE MATERIALS
Volume 30, Issue -, Pages 179-186

Publisher

ELSEVIER
DOI: 10.1016/j.ensm.2020.05.009

Keywords

Li-S batteries; Anode free; High energy density; Dendrite free; Li2S cathodes

Funding

  1. National Key R&D Program of China [2018YFB0905400]
  2. National Natural Science Foundation of China [51972131, 51632001]

Ask authors/readers for more resources

It is considered that anode-free Li-metal batteries are one of the promising constructions for achieving extremely high energy density, but they still suffer from low Coulombic efficiency, rapid capacity fading and dendrite growth issues. Here, we demonstrate an anode-free full cell with Li2S as cathode and Au-modified Cu foil as the vacant anodic current collector for achieving a very high energy density up to 626 Wh kg(-1). The Au-modification (0.168 mg cm(-2), $ similar to 0.008 cm(-2)) will transform to Li x Au alloy and solid solution, which can successfully lower the nucleation barrier of Li deposition and induce the dendrite-free Li morphology. As a result, the anode-free Li2S parallel to Au/Cu full cell exhibits a greatly improved initial Coulombic efficiency of 69% and a stable cyclability over 150 cycles. Our work provides a new route to realize the truly Li-limited Li-S full batteries with much higher overall energy density and greatly stabilized interfacial chemistry.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Oncology

Clinical characteristics, risk factors and outcomes of cancer patients with COVID-19: A population-based study

Jiandong Zhou, Ishan Lakhani, Oscar Chou, Keith Sai Kit Leung, Teddy Tai Loy Lee, Michelle Vangi Wong, Zhen Li, Abraham Ka Chung Wai, Carlin Chang, Ian Chi Kei Wong, Qingpeng Zhang, Gary Tse, Bernard Man Yung Cheung

Summary: Cancer patients with COVID-19 have a significantly higher risk of intubation, ICU admission, and/or mortality due to the immunosuppressant effect of cancer treatments and frequent hospital admissions.

CANCER MEDICINE (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Noninvasive assessment of renal function and fibrosis in CKD patients using histogram analysis based on diffusion kurtosis imaging

Guanjie Yuan, Weinuo Qu, Shichao Li, Ping Liang, Kangwen He, Anqin Li, Jiali Li, Daoyu Hu, Chuou Xu, Zhen Li

Summary: Histogram analysis based on diffusion kurtosis imaging (DKI) is feasible for the noninvasive assessment of renal function and fibrosis in CKD patients.

JAPANESE JOURNAL OF RADIOLOGY (2023)

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Editorial Comment: Dark-Blood Dual-Energy CT for Pancreatic Cancer-A New Approach for Assessment of Vascular Involvement

Zhen Li

AMERICAN JOURNAL OF ROENTGENOLOGY (2023)

Article Oncology

Incremental prognostic value of ADC histogram analysis in patients with high-risk prostate cancer receiving adjuvant hormonal therapy after radical prostatectomy

Kangwen He, Yucong Zhang, Shichao Li, Guanjie Yuan, Ping Liang, Qingpeng Zhang, Qingguo Xie, Peng Xiao, Heng Li, Xiaoyan Meng, Zhen Li

Summary: This study investigated the incremental prognostic value of preoperative apparent diffusion coefficient (ADC) histogram analysis in patients with high-risk prostate cancer (PCa) who received adjuvant hormonal therapy (AHT) after radical prostatectomy (RP). The results showed that ADC histogram analysis has incremental prognostic value in predicting biochemical recurrence-free survival (BCR-fs) and combining ADC parameters with clinical parameters can improve the accuracy of BCR-fs prediction.

FRONTIERS IN ONCOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Reduced field-of-view DWI-derived clinical-radiomics model for the prediction of stage in cervical cancer

Qiuhan Huang, Baodi Deng, Yanchun Wang, Yaqi Shen, Xuemei Hu, Cui Feng, Zhen Li

Summary: This study explored the feasibility of a model combining rFOV DWI-derived radiomics with clinical features in staging CC. A clinical-radiomics model was constructed by extracting radiomics features from ADC maps and selecting key features. The results showed that the clinical-radiomics model had the highest predictive performance in staging CC.

INSIGHTS INTO IMAGING (2023)

Article Biotechnology & Applied Microbiology

Chemical Shift-Encoded Sequence (IDEAL-IQ) and Amide Proton Transfer (APT) MRI for Prediction of Histopathological Factors of Rectal Cancer

Yang Peng, Xianlun Zou, Gen Chen, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li

Summary: This study investigated the relationship between IDEAL-IQ/amide proton transfer MRI parameters and histopathological factors of rectal cancer. The results showed significant differences in PDFF, R2*, and MTRasym (3.5 ppm) based on different tumor stages, lymph node metastasis, tumor grade, and MRF and EMVI status. The MR parameters were positively correlated with histopathological features of rectal cancer. PDFF exhibited a higher diagnostic ability compared to MTRasym (3.5 ppm) in distinguishing metastatic from non-metastatic lymph nodes.

BIOENGINEERING-BASEL (2023)

Review Biotechnology & Applied Microbiology

Imaging Phenotypes and Evolution of Hepatic Langerhans Cell Histiocytosis on CT/MRI: A Retrospective Study of Clinical Cases and Literature Review

Luwen Hao, Yuanqiu Li, Ziman Xiong, Yuchen Jiang, Xuemei Hu, Daoyu Hu, Zhen Li, Yaqi Shen

Summary: This study comprehensively illustrates the imaging findings of hepatic LCH and investigates the evolution of LCH-associated lesions. Patients with liver involvement were classified into disseminated lesion phenotype, scattered lesion phenotype, and central periportal lesion phenotype based on the lesion distribution pattern on CT/MRI scans. Different phenotypes have specific clinical features and prognoses. Follow-up MRI scans can better document the evolution of lesions.

BIOENGINEERING-BASEL (2023)

Article Biotechnology & Applied Microbiology

Evaluation of Whole-Tumor Texture Analysis Based on MRI Diffusion Kurtosis and Biparametric VI-RADS Model for Staging and Grading Bladder Cancer

Xiaoyan Meng, Shichao Li, Kangwen He, Henglong Hu, Cui Feng, Zhen Li, Yanchun Wang

Summary: This study evaluated the feasibility of texture analysis based on diffusion kurtosis imaging (DKI) for staging and grading bladder cancer (BC), and compared it with apparent diffusion coefficient (ADC) and biparametric vesical imaging reporting and data system (VI-RADS). The results showed that DKI-based texture analysis is useful in evaluating the staging and grading of BC, and the histogram parameters of DKI can provide additional value to VI-RADS.

BIOENGINEERING-BASEL (2023)

Article Biotechnology & Applied Microbiology

Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer

Qiuhan Huang, Yanchun Wang, Xiaoyan Meng, Jiali Li, Yaqi Shen, Xuemei Hu, Cui Feng, Zhen Li, Ihab Kamel

Summary: This study investigates the feasibility of combining APTw imaging with ZOOMit DKI in predicting lymph node metastasis in cervical cancer. The results suggest that APTw and DKI parameters may serve as potential noninvasive biomarkers for predicting lymph node metastasis in cervical cancer.

BIOENGINEERING-BASEL (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Is the radiomics-clinical combined model helpful in distinguishing between pancreatic cancer and mass-forming pancreatitis?

Weinuo Qu, Ziling Zhou, Guanjie Yuan, Shichao Li, Jiali Li, Qian Chu, Qingpeng Zhang, Qingguo Xie, Zhen Li, Ihab R. Kamel

Summary: This study aimed to develop CT-based radiomics models for distinguishing between resectable PDAC and mass-forming pancreatitis (MFP), and the PCACli model showed comparable performance with EUS-FNA in discriminating between the two conditions.

EUROPEAN JOURNAL OF RADIOLOGY (2023)

Article Computer Science, Cybernetics

Mass Screening for Low Bone Density Using Basic Check-Up Items

Zhongzhi Xu, Weibin Cheng, Zhen Li, Gary Tse, Fengshi Jing, Wanmin Lian, Junzhang Tian, Qingpeng Zhang

Summary: This study aimed to develop a scoring system for mass screening of low bone density in women aged 50 years or older using basic body check-up items as variables. Age, BMI, SBP, glucose, and TCL were significantly associated with the risk of LBD, and the proposed scoring system had precision, recall, c-statistic, and F1-score of 0.66, 0.83, 0.73, and 0.74 respectively. Artificial neural networks showed better performance in all measurements.

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2023)

Article Biotechnology & Applied Microbiology

Enhancing the Differentiation between Intestinal Behçet's Disease and Crohn's Disease through Quantitative Computed Tomography Analysis

Yuanqiu Li, Ziman Xiong, Yuchen Jiang, Yaqi Shen, Xuemei Hu, Daoyu Hu, Zhen Li

Summary: This study evaluated the use of computed tomography enterography (CTE) in distinguishing between intestinal Behcet's disease (BD) and Crohn's disease (CD). The comprehensive model based on CTE features showed higher sensitivity and specificity in diagnosis compared to the traditional model. CTE can accurately show intestinal involvement and provide body composition data, making it a useful diagnostic tool for BD and CD.

BIOENGINEERING-BASEL (2023)

Article Imaging Science & Photographic Technology

Noninvasive Prediction of Sperm Retrieval Using Diffusion Tensor Imaging in Patients with Nonobstructive Azoospermia

Sikang Gao, Jun Yang, Dong Chen, Xiangde Min, Chanyuan Fan, Peipei Zhang, Qiuxia Wang, Zhen Li, Wei Cai

Summary: This study evaluated the diagnostic performance of parameters derived from diffusion tensor imaging (DTI) in predicting the sperm retrieval rate (SRR) of patients with nonobstructive azoospermia (NOA). The results showed that the mean diffusivity value could serve as a useful noninvasive imaging marker for predicting SRR in NOA patients undergoing microdissection testicular sperm extraction (mTESE).

JOURNAL OF IMAGING (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

WHO/ISUP grade and pathological T stage of clear cell renal cell carcinoma: value of ZOOMit diffusion kurtosis imaging and chemical exchange saturation transfer imaging

Shichao Li, Kangwen He, Guanjie Yuan, Xingwang Yong, Xiaoyan Meng, Cui Feng, Yi Zhang, Ihab R. Kamel, Zhen Li

Summary: ZOOMit DKI and CEST imaging can be valuable in predicting the WHO/ISUP grade and pathological T stage in ccRCC. Tumors with higher WHO/ISUP grades and pT stages tend to have lower ADC, MD, and S-sat (3.5 ppm)/S-0 values, while higher MK and MTRasym (3.5 ppm) values. The combination of MTRasym (3.5 ppm) and MD showed the best diagnostic performance for WHO/ISUP grading.

EUROPEAN RADIOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Volumetric visceral fat machine learning phenotype on CT for differential diagnosis of inflammatory bowel disease

Ziling Zhou, Ziman Xiong, Ran Cheng, Qingyu Luo, Yuanqiu Li, Qingguo Xie, Peng Xiao, Daoyu Hu, Xuemei Hu, Yaqi Shen, Zhen Li

Summary: This study investigates the effectiveness of volumetric visceral adipose tissue (VAT) features extracted using radiomics and a three-dimensional convolutional neural network (3D-CNN) approach in differentiating Crohn's disease (CD) and ulcerative colitis (UC). The results show that radiomics analysis with the least absolute shrinkage and selection operator (LASSO) had the highest AUC value, indicating its potential diagnostic value. The developed 3D-CNN model and radiomics analysis with principal component analysis (PCA) also showed comparable performance in characterizing CD and UC. Clinical covariates were adjusted in the models, and the LASSO model with adjustment of clinical covariates reached the highest AUC value.

EUROPEAN RADIOLOGY (2023)

Article Chemistry, Physical

Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology

Orkun Furat, Donal P. Finegan, Zhenzhen Yang, Matthias Neumann, Sangwook Kim, Tanvir R. Tanim, Peter Weddle, Kandler Smith, Volker Schmidt

Summary: The operating temperature has a significant impact on the degradation behavior of batteries. This study investigates the structural degradation of lithium-ion positive electrodes under different operating temperatures, and finds that particle porosity increases with higher cycling temperature, while particle surface area remains similar across different cycling-temperature aging conditions.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Ion-intercalation architecture for robust functionalization of two-dimensional MXenes

Junyan Li, Ming Lu, Weijia Zheng, Wei Zhang

Summary: MXenes are two-dimensional materials with unique structures and properties, which have attracted significant scientific interest. Ion intercalation, as an important mechanism, plays a crucial role in regulating the electronic and chemical properties of MXene materials. This review provides an overview of the interaction events between ions and MXenes, including advanced characterization techniques, influencing factors, mechanisms, and functionalization roles of ion intercalation.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Zwitterion as electrical double layer regulator to in-situ formation of fluorinated interphase towards stable zinc anode

Zhengtai Zha, Tianjiang Sun, Diantao Li, Tao Ma, Weijia Zhang, Zhanliang Tao

Summary: A novel zwitterion additive is developed to improve the electrochemical performance and cycling stability of aqueous zinc batteries. The zwitterion forms a stable solid electrolyte interphase on the electrode surface, isolating the zinc anode from the electrolytes and enabling fast zinc ion migration. The proposed electrolyte shows promising results in symmetric cells and full cells, with long cycling stability and high capacity retention.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Promoting homogeneous lithiation of silicon anodes via the application of bifunctional PEDOT:PSS/PEG composite binders

Nyung Joo Kong, Myeong Seon Kim, Jae Hyun Park, Jongbok Kim, Jungho Jin, Hyun-Wook Lee, Seok Ju Kang

Summary: Polymeric conducting binders have significant research value as they can serve as both binders and conducting agents, increasing the proportion of active materials in batteries and the volumetric energy density. This study explores the potential of a composite of PEDOT:PSS and polyethylene glycol (PEG) as a high-performing binder for silicon anodes. The addition of PEG polymer enhances the conductivity of PEDOT:PSS and improves the mechanical properties of the silicon anode, resulting in extended cycle endurance. The use of operando optical microscopy allows for direct observation of the binder's operation. Consequently, the bifunctional PEDOT:PSS/PEG binder shows promise for high-performance lithium-ion battery binders.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Temperature-dependent viscoelastic liquid MOFs based cellulose gel electrolyte for advanced lithium-sulfur batteries over an extensive temperature range

Yangze Huang, Lixuan Zhang, Jiawen Ji, Chenyang Cai, Yu Fu

Summary: This study proposed a novel temperature-dependent viscoelastic liquid electrolyte and a hollow transition bi-metal selenide as the sulfur host material to address the issues in Li-S batteries. The experiments showed promising results in stabilizing the anode and improving cycling performance.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Recent advances in anode design for mild aqueous Zn-ion batteries

Ao Yu, Wei Zhang, Nimanyu Joshi, Yang Yang

Summary: This review provides a comprehensive overview of research progress in ZIB anodes, including protective coating layers on zinc surfaces and intercalated anode materials. By designing protective coating layers and selecting appropriate intercalated anode materials, the inherent limitations of zinc metal anode can be overcome, leading to improved reliability and performance of ZIBs.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Sandwich-structured anode enables high stability and enhanced zinc utilization for aqueous Zn-ion batteries

Xin Wang, Yumiao Tian, Konghua Yang, Chenhui Ma, Wenqiang Lu, Xiaofei Bian, Nan Chen, Heng Jiang, Yan Li, Xing Meng, Pengyue Gao, Dong Zhang, Fei Du

Summary: Researchers developed a new sandwich deposition approach using boron nitride layer as a current collector, which enhances the performance of aqueous zinc-ion batteries.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Stable sodium-metal batteries with a hierarchical structured electrode toward reversible confinement of Na dendrites

Sang Jun Lee, Dongwoo Kang, Dong Yeol Hyeon, Dong Seok Kim, Suyoon Eom, Su Hwan Jeong, Dong Park Lee, Dawon Baek, Jou-Hyeon Ahn, Gyeong Hee Ryu, Kwi-Il Park, San Moon, Joo-Hyung Kim

Summary: This study utilizes the ice-templating method to create a self-supporting three-dimensional hierarchical porous structure, which effectively inhibits sodium dendrite growth and improves the performance and longevity of sodium-metal batteries.

ENERGY STORAGE MATERIALS (2024)

Article Chemistry, Physical

Enable reversible conversion reaction of copper fluoride batteries by hydroxyl solution and anion acceptor

Yifan Yu, Meng Lei, Yangyang Liu, Keyi Chen, Chuanzhong Lai, Jiulin Hu, Chilin Li

Summary: Metal fluorides as conversion-reaction cathodes have advantages such as low cost, environmentally friendly, and high energy density. In this study, a hydroxyl-rich copper fluoride (Cu2(OH)3F) was proposed as a conversion cathode, coupled with an electrolyte additive engineering, to address the poor reversibility issue. The presence of OH in Cu2(OH)3F enables effective suppression of Cu+ dissolution, resulting in better reaction reversibility and kinetics.

ENERGY STORAGE MATERIALS (2024)