Results 111 to 120 of about 194,500 (201)
Advanced Functional Materials, EarlyView.The ionic conductivity of a solid electrolyte is just the “tip of the iceberg”. There are many parameters to consider to quantify it reliably in powdered solid electrolyte samples. Abstract All‐solid‐state batteries (ASSBs) are taking the lead as the next‐generation energy storage systems, mainly to the development of new solid electrolytes with high ...
Fariza Kalyk +3 more
wiley +1 more source
Rotational CARS application to simultaneous and multiple-point temperature and concentration determination in a turbulent flow [PDF]
Coherent anti-Stokes Raman scattering (CARS) from the pure rotational Raman lines of N2 is employed to measure the instantaneous (approximately 10 ns) rotational temperature of N2 gas at room temperature and below with good spatial resolution (0.2 x 0.2 ...
Chang, R. K., Murphy, D. V., Snow, J. B.
core +1 more source
Analysis of heavily boron-doped diamond Raman spectrum
, 2018 V. Mortet +7 more
openalex +2 more sources
Stress effects on the Raman spectrum of an amorphous material: theory and experiment on a-Si:H
, 2022 David A. Strubbe +4 more
openalex +2 more sources
Noise Reduction Technique for Raman Spectrum using Deep Learning Network [PDF]
, 2022 Liangrui Pan +5 more
openalex +1 more source
Facile Tri‐Metallic Catalyst Fabrication Using the Dynamic Hydrogen Bubble Template method
Advanced Functional Materials, EarlyView.Porous metal catalysts are prepared using hydrogen bubbles as a natural template. By carefully selecting metal combinations and thermal treatment, the researchers tailored surface composition and structure, boosting catalytic performance. The approach offers a powerful and flexible route to designing advanced materials for green energy Abstract ...
Carlos M. S. Lobo +11 more
wiley +1 more source
Large Scale Raman Spectrum Calculations in Defective 2D Materials using Deep Learning [PDF]
Olivier Malenfant-Thuot +4 more
openalex +1 more source
Advanced Functional Materials, EarlyView.Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An entropy‐tuned niobium‐based oxide (ETNO) anode for fast‐charging lithium‐ion batteries are presented, engineered via multi‐cation doping. The synergistic effects of entropy tuning result in excellent rate capability and long‐term durability under ultrafast charging conditions.
Yoojin Ahn +6 more
wiley +1 more source