98%
921
2 minutes
20
Ultra-high intensity (> 10 W/cm), femtosecond (~30 fs) laser induced fast electron transport in a transparent dielectric has been studied for two laser systems having three orders of magnitude different peak to pedestal intensity contrast, using ultrafast time-resolved shadowgraphy. Use of a 400 nm femtosecond pulse as a probe enables the exclusive visualization of the dynamics of highest density electrons (> 7 × 10 cm) observed so far. High picosecond contrast (~10) results in greater coupling of peak laser energy to the plasma electrons, enabling long (~1 mm), collimated (divergence angle ~2°) transport of fast electrons inside the dielectric medium at relativistic speeds (~0.66c). In comparison, the laser system with a contrast of ~10 has a large pre-plasma, limiting the coupling of laser energy to the solid and yielding limited fast electron injection into the dielectric. In the lower contrast case, bulk of the electrons expand as a cloud inside the medium with an order of magnitude lower speed than that of the fast electrons obtained with the high contrast laser. The expansion speed of the plasma towards vacuum is similar for the two contrasts.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/OE.24.028419 | DOI Listing |
Langmuir
September 2025
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India.
Simultaneous sensing and quantification of pharmaceutically active compounds (PhACs) are crucial for protecting the environment and maintaining long-term ecological sustainability. This study focuses on the bio-based synthesis of BiS-ZnO nanocomposites (BiS-ZnO(bio)) using bio-extract for dual-analyte selective and simultaneous electrochemical monitoring of phenylbutazone (PBZ) and sulfamethoxazole (SMZ) in the environmental matrices. BiS-ZnO(bio) exhibited ZnO(bio) nanostructures embedded on BiS(bio) nanorods with an average rod length of 1409.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Soft Matter Sciences and Engineering, CNRS, École supérieure de Physique et de Chimie Industrielles de la Ville de Paris, Université Paris Sciences et Lettres, Sorbonne Université, Paris 75005, France.
The sliding motion of aqueous droplets on hydrophobic surfaces leads to charge separation at the trailing edge, with implications from triple-line friction to hydrovoltaic energy generation. Charges deposited on the solid surface have been attributed to ions or electrons ripped off from the liquid drop. However, the dynamics and exact physicochemical nature of these surface-trapped charges remains poorly explored.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Kathleen Lonsdale Materials Chemistry, Department of Chemistry, University College London, London WC1H 0AJ, U.K.
The exceptional performance of ceria (CeO) in catalysis and energy conversion is fundamentally governed by its defect chemistry, particularly oxygen vacancies. The formation of each oxygen vacancy (V) is assumed to be compensated by two localized electrons on cations (Ce). Here, we show by combining theory with experiment that while this 1 V: 2Ce ratio accounts for the global charge compensation, it does not apply at the local scale, particularly in nanoparticles.
View Article and Find Full Text PDFAdv Mater
September 2025
School of Materials Science and Engineering, Anhui University, Hefei, 230601, China.
Modulating the electronic structure of catalysts to maximize their power holds the key to address the challenges faced by zinc-iodine batteries (ZIBs), including the shuttle effect and slow redox kinetics at the iodine cathode. Herein, oxygen vacancies is innovatively introduced into CoO lattice to create high-spin-state Co active sites in nonstoichiometric CoO nanocrystals supported by carbon nanofibers (H-CoO/CNFs). This simple strategy intensifies crystal field splitting of Co 3d orbitals, optimizing the spin-orbital coupling between Co 3d orbitals and iodine species.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, China.
This study integrates machine learning (ML) and density functional theory (DFT) to systematically investigate the oxygen electrocatalytic activity of two-dimensional (2D) TM(HXBHYB) (HX/YB = HIB (hexaaminobenzene), HHB (hexahydroxybenzene), HTB (hexathiolbenzene), and HSB (hexaselenolbenzene)) metal-organic frameworks (MOFs). By coupling transition metals (TM) with the above ligands, stable 2D TM(HXBHYB)@MOF systems were constructed. The Random Forest Regression (RFR) model outperformed the others, revealing the intrinsic relationship between the physicochemical properties of 2D TM(HXBHYB)@MOF and their ORR/OER overpotentials.
View Article and Find Full Text PDF