A comprehensive electrical, vibrational and optical investigation of the Cs3Bi2Br9 single crystals emphasizes their unique light-responsive behavior. Strong electron–phonon coupling and thermally-activated exciton delocalization are shown through a narrowing of the full width at half maximum (FWHM) from 0.080 to 0.063 eV while, with an emission peak shifting from 2.48 eV at 77 K to 2.53 eV at 300 K, the broad self-trapped exciton emission is revealed by temperature-dependent photoluminescence (PL). A redshift of 0.005–0.015 eV and a pronounced photoluminescence quenching exceeding 50
The increasing interest in spinel ferrites due to their notable characteristics including elevated electrochemical stability, redox states and pseudocapacitive activity which make them suitable for application in supercapacitors. The present research involves synthesis of NiFe2O4@g-CN electrode material using hydrothermal route. The various characterization techniques including, electrochemical and physical were used for NiFe2O4 and NiFe2O4@g-CN nanocomposite. The fabricated NiFe2O4@g-CN nanosheet showed exceptional specific capacitance of 740 F/g energy and power density were 38 Wh/Kg and 305 W/Kg respectively at 1 A/g determined from galvanostatic charge discharge plot. The charge transfer resistance (Rct) value of NFO@g-CN (0.23 Ω) exhibited lower value than NFO (0.35 Ω) and g-CN (0.27 Ω). The electrochemical stability test revealed that after 5000th cycle NiFe2O4@g-CN material maintains a very stable structure. Therefore, improvements in electrochemical efficiency of NiFe2O4 because of inclusion of graphitic carbon nitride which provided larger surface area, synergistic interaction and large number of active sites. These finding indicates that electrodes materials have potential material for energy storage device and it can further used in toward water splitting and various energy storage equipment’s.
The increasing threat of dye pollution in water resources underscores the urgent need for sustainable and cost-effective treatment solutions However, a gap remains in identifying efficient and reusable natural materials for dye removal. This study evaluates the potential of natural zeolite as an effective and reusable adsorbent for removing methylene blue dye from aqueous solutions. Natural zeolite was characterized using SEM, FTIR, XRD, and TGA techniques, and its adsorption performance was systematically tested under various conditions, including pH, adsorbent dosage, contact time, temperature, and initial dye concentration. The results revealed a maximum dye removal efficiency of 98.9
The synthesis of electrode materials based on AlBiO3/PANI has demonstrated tremendous potential in a group of industries, energy conversion and storage. The current study employs a simple hydrothermal technique to manufacture an AlBiO3/PANI as a material for structural, morphological, and electrochemical characterizations. Electrochemical conduct of the prepared electrode sample was utilizing cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). Electrochemical investigation revealed that adding PANI higher the discharging duration, which boosts specific capacitance (Csp) and improves the behavior and stability of AlBiO3 materials. The Csp of AlBiO3/PANI was calculated to be 1559.19 F g- 1 at 1 A g- 1 based on electrochemical studies. Furthermore, power density (Pd) and energy density (Ed) were determined to be 824.94 W kg- 1 and 163.74 Wh kg- 1 at 1 A g-1, respectively. The Nyquist plot shows that the AlBiO3/PANI has a small solution Resistance Rs (0.30 Omega) than AlBiO3 (0.53 Omega). Furthermore, it demonstrated exceptional cyclic stability, operating in (3.0 M KOH) for 4200th cycles. As a result, transition metal-based nanocomposites have enormous potential for use supercapacitor (SCs) electrode materials and in other energy storage systems.
Current benchmarks for occupational AI agents are scoped primarily by economic values, telling a replacement story. We introduce JobBench, which evaluates AI agents on the workflows that experts identify as high-priority for delegation, empowering humans based on their needs instead of replacing them with GDP value. JobBench covers 130 agentic tasks across 35 occupations. Each task is packaged as a workspace of heterogeneous reference files, requiring the agent to reason through the cluttered information streams of real professional work. Outputs are graded by a fact-anchored chain of rubrics, averaging 35.6 binary criteria per task. We evaluate 36 models; the strongest, Claude Opus 4.7 under Claude Code, reaches only 45.9
