A5000540485- Thermal properties of materials
- Graphene research and applications
- Advanced Thermoelectric Materials and Devices
- Thermal Radiation and Cooling Technologies
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Carbon Nanotubes in Composites
- Catalysis and Oxidation Reactions
- Machine Learning in Materials Science
- Mechanical and Optical Resonators
- Hemoglobinopathies and Related Disorders
- Fuel Cells and Related Materials
- Advancements in Battery Materials
- Advanced Fluorescence Microscopy Techniques
- 3D Printing in Biomedical Research
- Aluminum Alloys Composites Properties
- Advanced battery technologies research
- Topic Modeling
- Composite Structure Analysis and Optimization
- Metal Alloys Wear and Properties
- Composite Material Mechanics
- Molecular Biology Techniques and Applications
- Advanced Thermodynamics and Statistical Mechanics
- Electronic and Structural Properties of Oxides
- Material Properties and Failure Mechanisms
The University of Tokyo
2023-2025
South China University of Technology
2015-2024
RTI International
2021-2024
Chinese Academy of Sciences
2011-2022
Fuzhou University
2022
Tianjin Institute of Industrial Biotechnology
2022
Wuhan University of Science and Technology
2021
Jiangsu University of Science and Technology
2019
Tsinghua University
2017
Beijing Institute of Aeronautical Materials
2016
Recently, high entropy oxides (HEO) with special stabilization effects have been widely investigated as new anode materials for lithium-ion batteries. However, the lithium storage mechanism of HEO is still under debate. In this work, we applied a modified solution combustion synthesis method subsequent ball milling refinement process to prepare six-component (FeNiCrMnMgAl)3O4 spinel oxide (6-SHEO). The novel 6-SHEO features outstanding electrochemical performance, enabling stable capacity...
Molecular dynamics (MD) simulations play an important role in understanding and engineering heat transport properties of complex materials. An essential requirement for reliably predicting is the use accurate efficient interatomic potentials. Recently, machine-learned potentials (MLPs) have shown great promise providing required accuracy a broad range In this mini-review tutorial, we delve into fundamentals transport, explore pertinent MD simulation methods, survey applications MLPs...
Van der Waals (vdW) heterostructures stacked vertically by graphene (Gr) and hexagonal boron nitride (h-BN), virtue of their novel properties, will undoubtedly spark great interests from the perspective basic physics applied science. Herein, phonon thermal transport across multilayer Gr/h-BN vdW was systematically investigated extensive molecular dynamics simulations, both in terms internal structural configuration external modulation. The former includes at interface, proportion components...
The exceptional thermal transport properties of graphene are affected due to the presence various topological defects, which include single vacancy, double vacancies and Stone-Wales defects. present article is intended study on defective by comparing effects defects conductivity graphene. This developed a program for constructing models with customizable defect concentrations distribution types. efficient molecular dynamics method based graphics processing units applied, can achieve accurate...
Two-dimensional (2D) in-plane heterostructures, whose interface thermal conductance (ITC) plays a crucial role in the performance of nanostructured materials, will undoubtedly become focus next-generation nanoelectronic devices. In this work, semidefective graphene/hexagonal boron nitride heterostructures were innovatively proposed based on topological defects, and across its was studied by molecular dynamics simulations. Surprisingly, defects certain component heterostructure can...
Phonon coherence elucidates the propagation and interaction of phonon quantum states within superlattice, unveiling wave-like nature collective behaviors phonons. Taking MoSe$_2$/WSe$_2$ lateral heterostructures as a model system, we demonstrate that intricate interplay between particle-like phonons, previously observed in perfect superlattice only, also occurs disordered superlattice. By employing molecular dynamics simulation based on highly accurate efficient machine-learned potential...
Abstract There is a high level of conservation tryptophans within the active site architecture cellulase family, whereas function four in catalytic domain Cel7A unclear. By mutating tryptophan residues from Penicillium piceum (PpCel7A), binding affinity between PpCel7A and p‐ nitrophenol‐ d ‐cellobioside ( p NPC) was reduced as determined by Michaelis–Menten constants, molecular dynamics simulations, fluorescence spectroscopy. Furthermore, variants showed cellobiohydrolase (CBH) activity...
Selecting and implementing a tissue clearing protocol is challenging. Established more than 100 years ago, still rapidly evolving field of research. There are currently many published protocols to choose from, each performs better or worse across range key evaluation factors (e.g., speed, cost, stability, fluorescence quenching). Additionally, often optimized for specific experimental contexts, applying an existing new problem can require lengthy period adaptation by trial error. Although...
The simple and practicable intrinsic driving mechanism is of great significance for the design development nanoscale devices. This paper proposes a nanosystem that can achieve directional gradientless thermoexcited rotation at relatively high temperature field (such as 300 K). In case constant field, difference in atomic van der Waals (VDW) potentials different regions rotor be achieved by an asymmetric structure, which provides torque rotor. We studied designed system through molecular...
Acoustic transport through topological edge states in phononic crystals improves the suppression of backscattering, which gives these systems significant potential for controlling sound waves. Recent research shows that only one acoustic state caused by valley phases can transmit crystals. This paper proposes a genre with one, two, and three created transforming structure unit cells. The bulk-edge correspondence indicates are based on invariant number (i.e., Chern three) this system...
Objectives To adopt the FAIR principles ( F indable, A ccessible, I nteroperable, R eusable) to enhance data sharing, Cure Sickle Cell Initiative (CureSCi) MetaData Catalog (MDC) was developed make Disease (SCD) study datasets more Findable by curating metadata and making them available through an open-access web portal. Methods Study metadata, including protocol, collection forms, dictionaries, describe information about patient-level data. We curated key of 16 SCD studies in a three-tiered...