Results 101 to 110 of about 70,841 (284)
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss+21 more
wiley +1 more source
Partonic Transverse Motion in Unpolarized Semi-Inclusive Deep Inelastic Scattering
We analyse the role of partonic transverse motion in unpolarized Semi-Inclusive Deep Inelastic Scattering (SIDIS) processes. Imposing appropriate kinematical conditions, we find some constraints which fix an upper limit to the range of allowed kt values ...
Boglione, M., Melis, S., Prokudin, A.
core
Partially disordered Cr‐based Li‐rich oxides are developed, featuring ordered, layered‐like environments integrated through a common oxygen sublattice with cation‐mixed regions. This activates new Li+ diffusion channels, enabling these cathodes to be used in their as‐synthesized form with micron‐sized particles.
Maciej Moździerz+10 more
wiley +1 more source
Prospect of Ruthenium for Hydrogen Evolution Reaction in Alkaline Media through In Situ Monitoring
This perspective highlights how in situ/operando techniques enable real‐time tracking of active Ru‐based catalysts under alkaline HER conditions. By combining static descriptors with dynamic‐state insights, a design feedback loop is proposed to guide rational catalyst development beyond equilibrium models.
Jiwon Kim+6 more
wiley +1 more source
Relation between deep inelastic scattering and annihilation [PDF]
Hans Dieter Dahmen, Frank Steiner
openalex +1 more source
Doped Zinc Oxide‐Based Piezoelectric Devices for Energy Harvesting and Sensing
This review provides a comprehensive overview of material properties, synthesis methods, and characterization techniques of doped ZnO, emphasizing the impact of doping on its structural and functional attributes. It highlights key findings, identifies knowledge gaps, and proposes future research directions to optimize doped ZnO for energy harvesting ...
Congran Jin+3 more
wiley +1 more source
Electromagnetic corrections to asymptotic freedom predictions in e+e− annihilation and deep inelastic scattering [PDF]
Félix Ynduráin
openalex +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz+2 more
wiley +1 more source
Non-perturbative effects in deep inelastic scattering [PDF]
Laurent Baulieu+3 more
openalex +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu+4 more
wiley +1 more source