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Terahertz Saturable Absorption across Charge Separation in Photoexcited Monolayer Graphene/MoS Heterostructure.
J Phys Chem Lett
January 2025
Key Laboratory of Materials Physics, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China.
Unveiling the nonlinear interactions between terahertz (THz) electromagnetic waves and free carriers in two-dimensional materials is crucial for the development of high-field and high-frequency electronic devices. Herein, we investigate THz nonlinear transport dynamics in a monolayer graphene/MoS heterostructure using time-resolved THz spectroscopy with intense THz pulses as the probe. Following ultrafast photoexcitation, the interfacial charge transfer establishes a nonequilibrium carrier redistribution, leaving free holes in the graphene and trapping electrons in the MoS.
View Article and Find Full Text PDFBoosting the Actuation Performance of a Dynamic Supramolecular Polyurethane-Urea Elastomer via Kinetic Control.
ACS Appl Mater Interfaces
January 2025
College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, China.
The ongoing soft actuation has accentuated the demand for dielectric elastomers (DEs) capable of large deformation to replace the traditional rigid mechanical apparatus. However, the low actuation strain of DEs considerably limits their practical applications. This work developed high-performance polyurethane-urea (PUU) elastomers featuring large actuation strains utilizing an approach of kinetic control over the microphase separation structure during the fabrication process.
View Article and Find Full Text PDFStructural Analysis of Plasma-Induced Oxidation and Electric Field Effect on the Heat Shock Protein (Hsp60) Structure: A Computational Viewpoint.
Chem Biodivers
January 2025
Center of Plasma Nano-interface Engineering, Kyushu University, Fukuoka, Japan.
In recent years, there has been an increase in the study of the mechanisms behind plasma oncology. For this, many wet lab experiments and computational studies were conducted. Computational studies give an advantage in examining protein structures that are costly to extract in enough amounts to analyze the biophysical properties following plasma treatment.
View Article and Find Full Text PDFStructural dynamics of a designed peptide pore under an external electric field.
Biophys Chem
December 2024
Theoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Computational Biophysics Research Group, RIKEN Center for Computational Science, 7-1-26 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Laboratory for Biomolecular Function Simulation, RIKEN Center for Biosystems Dynamics Research, 1-6-5 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan.
Membrane potential is essential in biological signaling and homeostasis maintained by voltage-sensitive membrane proteins. Molecular dynamics (MD) simulations incorporating membrane potentials have been extensively used to study the structures and functions of ion channels and protein pores. They can also be beneficial in designing and characterizing artificial ion channels and pores, which will guide further amino acid sequence optimization through comparison between the predicted models and experimental data.
View Article and Find Full Text PDFDeep-learning-enhanced modeling of electrosprayed particle assembly on non-spherical droplet surfaces.
Soft Matter
January 2025
Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA.
Article Synopsis
- Researchers explored how charged colloidal particles assemble at liquid interfaces to enhance the manufacturing of thin film materials.
- The study combined computational simulations and machine learning, using a new algorithm to analyze particle behavior on curved droplet surfaces.
- By optimizing particle and substrate charge densities through a deep learning model, the team achieved a 96.4% similarity between simulated and experimental results, improving prediction accuracy while saving computational time.
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