4.6 Article

Are Azafullerene Encapsulated Single-Walled Carbon Nanotubes n-Type Semiconductors?

期刊

JOURNAL OF PHYSICAL CHEMISTRY C
卷 115, 期 26, 页码 12760-12762

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jp2017874

关键词

-

资金

  1. NSFC [20933006, 20873129]
  2. National Key Basic Research Program [2011CB921404]
  3. USTC-SCC
  4. SCCAS
  5. Shanghai Supercomputer Center

向作者/读者索取更多资源

There is a controversy in the literature about the transport behavior of azafullerene encapsulated single-walled carbon nanotubes (SWCNTs). Both n-type and p-type semiconducting behaviors have been suggested experimentally. To clarify this issue, we study the electronic structure of C(59)N nanopeapods with density functional theory. It turns out that C(59)N doping in pristine SWCNTs does not change the carrier type, although it is possible to change the transport behavior from p-type to n-type for SWCNTs with defects via a new mechanism.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Multidisciplinary

Toward Epitaxial Growth of Misorientation-Free Graphene on Cu(111) Foils

Luzhao Sun, Buhang Chen, Wendong Wang, Yanglizhi Li, Xiongzhi Zeng, Haiyang Liu, Yu Liang, Zhenyong Zhao, Ali Cai, Rui Zhang, Yeshu Zhu, Yuechen Wang, Yuqing Song, Qingjie Ding, Xuan Gao, Hailin Peng, Zhenyu Li, Li Lin, Zhongfan Liu

Summary: This study found that trace amounts of oxygen enhance the interaction between graphene and Cu(111) substrate, eliminating misoriented graphene domains. Through a modified anomalous grain growth method and a self-designed pilot-scale CVD system, high-quality single-crystal graphene films were produced on Cu(111) foils in batch production. The findings and strategies provided in this work could accelerate the mass production of high-quality misorientation-free graphene films.

ACS NANO (2022)

Article Chemistry, Medicinal

Predict Ionization Energy of Molecules Using Conventional and Graph-Based Machine Learning Models

Yufeng Liu, Zhenyu Li

Summary: Ionization energy is an important property of molecules, and it can be efficiently predicted using machine learning models. This study compares the performance of different machine learning models in predicting ionization energy for molecules with distinct functional groups. Support vector regression is the best conventional model, while AttentiveFP performs even better in graph-based models. These results provide high-performance models for ionization energy prediction and valuable guidance in choosing reliable QSPR models.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Physical

Increasing the Efficiency of Photocatalytic Water Splitting via Introducing Intermediate Bands

Xinbo Ma, Wenjun Chu, Youxi Wang, Zhenyu Li, Jinlong Yang

Summary: Photocatalytic water splitting is a potential way to utilize solar energy. In this study, a new photocatalytic water splitting model based on intermediate bands (IBs) is proposed, which significantly increases the solar-to-hydrogen efficiency compared to conventional single-band gap systems. First-principles calculations reveal that N-doped TiO2, Bi-doped TiO2, and P-doped ZnO have suitable IBs, with corresponding STH efficiency limits of 10.0%, 12.0%, and 19.0% respectively. This study opens a new avenue for the design of photocatalytic water splitting systems.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2023)

Article Chemistry, Multidisciplinary

Coordinating zincophilic sites and a solvation shell for a dendrite-free Zn anode under the synergistic effects of polyacrylonitrile and dimethyl sulfoxide

Zhenjie Liu, Jiale Ma, Xiangjian Liu, Haiyang Wu, Dianlun Wu, Bin Chen, Peng Huang, Yang Huang, Lei Wang, Zhenyu Li, Shulei Chou

Summary: In this study, a dimethyl sulfoxide (DMSO)-H2O hybrid electrolyte containing polyacrylonitrile (PAN) additives (PAN-DMSO-H2O) was proposed to improve the electrical field and ion transport of the Zn anode, effectively inhibiting dendrite growth. PAN preferentially adsorbs on the Zn anode surface and provides abundant zincophilic sites, enabling a balanced electric field and lateral Zn plating. DMSO regulates the solvation structure of Zn2+ ions and enhances ion transport, leading to a dendrite-free Zn anode surface during plating/stripping. Zn-Zn symmetric and Zn-NaV3O8 center dot 1.5H(2)O full batteries with this PAN-DMSO-H2O electrolyte exhibit enhanced coulombic efficiency and cycling stability.

CHEMICAL SCIENCE (2023)

Article Multidisciplinary Sciences

Atomic-scale study clarifying the role of space-charge layers in a Li-ion-conducting solid electrolyte

Zhenqi Gu, Jiale Ma, Feng Zhu, Ting Liu, Kai Wang, Ce-Wen Nan, Zhenyu Li, Cheng Ma

Summary: In this study, the role of space-charge layers in Li0.33La0.56TiO3, a solid electrolyte, was investigated through experimental and computational methods. Contrary to previous assumptions, it was found that the actual space-charge layers are Li-excess instead of Li-deficient. The efficient ion transport in these Li-excess layers excluded them as potential bottlenecks, identifying Li-depleted grain-boundary cores as the major cause of the large resistance.

NATURE COMMUNICATIONS (2023)

Article Quantum Science & Technology

Towards practical and massively parallel quantum computing emulation for quantum chemistry

Honghui Shang, Yi Fan, Li Shen, Chu Guo, Jie Liu, Xiaohui Duan, Fang Li, Zhenyu Li

Summary: Quantum computing is advancing towards commercial applications in chemical and biomedical sciences, but the lack of quantum resources in the current noisy intermediate-scale era hinders these explorations. Emulating quantum computing on classical computers is valuable for developing quantum algorithms and validating quantum hardware, yet existing simulators often face memory limitations, making large-scale quantum chemistry calculations challenging.

NPJ QUANTUM INFORMATION (2023)

Article Chemistry, Physical

Accurate and efficient calculations of Hellmann-Feynman forces for quantum computation

Juntao Lai, Yi Fan, Qiang Fu, Zhenyu Li, Jinlong Yang

Summary: In this work, analytical calculations of atomic forces based on the Hellmann-Feynman theorem within the framework of the variational quantum eigensolver were achieved. The accuracy of the approach is demonstrated by comparing the calculated atomic forces with values obtained from full configuration interaction calculations. The results show that the analytical approach has a significant accuracy advantage and is feasible for practical quantum chemistry simulations.

JOURNAL OF CHEMICAL PHYSICS (2023)

Article Chemistry, Physical

Quantum Circuit Matrix Product State Ansatz for Large-Scale Simulations of Molecules

Yi Fan, Jie Liu, Zhenyu Li, Jinlong Yang

Summary: As shown in the DMRG method, approximating many-body wave function of electrons using a matrix product state (MPS) is a promising approach for solving electronic structure problems. The expressibility of an MPS is determined by the bond dimension, which can be very large in quantum chemistry simulations. In this study, the ground state energies of molecular systems are calculated using a variational optimization of the quantum circuit MPS (QCMPS) method with a relatively small number of qubits. Results show that QCMPS can achieve similar accuracy as DMRG with a large bond dimension by carefully choosing circuit structure and orbital localization scheme. QCMPS simulation of a linear hydrogen molecular chain with 50 orbitals reaches chemical accuracy using only 6 qubits at a moderate circuit depth. These findings suggest that QCMPS is a promising wave function ansatz in the variational quantum eigensolver algorithm for molecular systems.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2023)

Article Chemistry, Physical

Near-Neighbor Electron Orbital Coupling Effect of Single-Atomic-Layer Au Cluster Intercalated Bilayer 2H-TaS2 for Surface Enhanced Raman Scattering Sensing

Shirui Weng, Wenjun Chu, Huaze Zhu, Junxiang Li, Ronglu Dong, Rui Niu, Jun Yang, Changjin Zhang, Zhenyu Li, Liangbao Yang

Summary: In this study, a new approach based on the coupling effect of neighboring electron orbitals is proposed to elucidate the electromagnetic field enhancement mechanism of single-atom-layer Au clusters embedded in 2H-TaS2 for SERS sensing. Experimental results confirmed the insertion of Au atoms into the 2H-TaS2 interlayer, leading to a 2 orders of magnitude enhancement in SERS signal compared to pure 2H-TaS2. XPS and micro-UV/vis-NIR spectra revealed the overlap and migration of outer electrons between neighboring Au and 2H-TaS2. First-principles calculations demonstrated strong electronic coupling between Au and 2H-TaS2. This study provides valuable insights into SERS enhancement in nonprecious metal compounds and offers guidance for the development of new SERS substrates.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2023)

Article Chemistry, Physical

Circuit-Depth Reduction of Unitary-Coupled-Cluster Ansatz by Energy Sorting

Yi Fan, Changsu Cao, Xusheng Xu, Zhenyu Li, Dingshun Lv, Man-Hong Yung

Summary: This work proposes a strategy to reduce the circuit depth of quantum algorithms for large chemical systems by employing an energy-sorting strategy. By prescreening subsets of excitation operators based on their contribution to the total energy, the method effectively reduces the number of operators while maintaining the accuracy.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2023)

Article Multidisciplinary Sciences

A cost-effective, ionically conductive and compressible oxychloride solid-state electrolyte for stable all-solid-state lithium-based batteries

Lv Hu, Jinzhu Wang, Kai Wang, Zhenqi Gu, Zhiwei Xi, Hui Li, Fang Chen, Youxi Wang, Zhenyu Li, Cheng Ma

Summary: To enable the development of all-solid-state batteries, an inorganic solid-state electrolyte with high ionic conductivity (>1 mS cm(-1) at 25℃), compressibility (>90% density under 250-350 MPa), and cost-effectiveness (<$50/kg) is required. Here, the authors report the development and preparation of Li1.75ZrCl4.75O0.5 oxychloride solid-state electrolyte that meets these requirements, with an ionic conductivity of 2.42 mS cm(-1) at 25℃, a compressibility enabling 94.2% density under 300 MPa, and an estimated raw material cost of $11.60/kg.

NATURE COMMUNICATIONS (2023)

Article Chemistry, Multidisciplinary

Multiscale quantum algorithms for quantum chemistry

Huan Ma, Jie Liu, Honghui Shang, Yi Fan, Zhenyu Li, Jinlong Yang

Summary: Exploration of potential applications of quantum computers in material design and drug discovery has gained significant attention. However, the current resource requirements for quantum simulations in these areas exceed the capabilities of near-term quantum devices. This study proposes a multiscale quantum computing approach that integrates multiple computational methods at different resolution scales to simulate complex systems. By efficiently implementing most methods on classical computers and leaving critical computations to quantum computers, the simulation scale of quantum computing can be expanded. The proposed algorithm has demonstrated decent accuracy in simulating systems with hundreds of orbitals on classical simulators. This work should encourage further research on quantum computing for practical material and biochemistry problems.

CHEMICAL SCIENCE (2023)

Article Chemistry, Physical

Intrinsic defects in B-site columnar-ordered halide double perovskites Cs2AgPdBr5

Wenjun Chu, Xinbo Ma, Zhenyu Li

Summary: In this study, the intrinsic defect properties of Cs2AgPdBr5 are investigated from first principles. It is found that Cs2AgPdBr5 has a small thermodynamic stable region, requiring careful control of growth conditions. P-type Cs2AgPdBr5 can be obtained under Ag-poor conditions, while Pd-i(2+) and Pd-Ag(1+) are the only two deep-level recombination centers.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2023)

Review Chemistry, Multidisciplinary

Quantum algorithms for electronic structures: basis sets and boundary conditions

Jie Liu, Yi Fan, Zhenyu Li, Jinlong Yang

Summary: The advantages of quantum computers are expected to revolutionize research in chemical and materials sciences, particularly in computational characterization and theoretical design. This article reviews recent progress in quantum electronic structure algorithms, with a focus on basis sets and boundary conditions.

CHEMICAL SOCIETY REVIEWS (2022)

Article Chemistry, Multidisciplinary

Understanding High-Temperature Chemical Reactions on Metal Surfaces: A Case Study on Equilibrium Concentration and Diffusivity of CxHy on a Cu(111) Surface

Pai Li, Xiongzhi Zeng, Zhenyu Li

Summary: Chemical reactions on metal surfaces play important roles in various processes. This study identifies several high-temperature effects on surface reactions through molecular dynamics simulations.

JACS AU (2022)

暂无数据