Results 171 to 180 of about 42,243 (288)
Transition metal‐decorated holey graphyne (TM@hGY) catalysts are evaluated for electrochemical nitrogen reduction. Cr@hGY demonstrates exceptional catalytic activity with a limiting potential of −0.34 V, exhibiting high selectivity for ammonia synthesis and low hydrogen evolution, offering a promising strategy for efficient, sustainable ammonia ...
Mihir Ranjan Sahoo +3 more
wiley +1 more source
A fault-tolerant neutral-atom architecture for universal quantum computation. [PDF]
Bluvstein D +22 more
europepmc +1 more source
Organic electrode materials typically suffer from low electronic conductivity, requiring large amounts of carbon additives. Herein, a conducting polymer, PEDOT:PSS, is introduced as a partial replacement for carbon black, reducing the carbon content to 15 wt%.
Sathiya Priya Panjalingam +4 more
wiley +1 more source
Persistent Homology Classifies Parameter Dependence of Patterns in Turing Systems. [PDF]
Spector R, Harrington HA, Gaffney EA.
europepmc +1 more source
Food Tastes in the United States: Convergence or Divergence?
ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley +1 more source
Lipschitz-based robustness estimation for hyperdimensional learning. [PDF]
Yeung C +5 more
europepmc +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
Temporal coding carries more stable cortical visual representations than firing rate over time. [PDF]
Zhu H +6 more
europepmc +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
A metallosupramolecular receptor binds squaraine dyes with high affinity and enables efficient dark resonance energy transfer (DRET) that generates bright near‐infrared emission with large pseudo‐Stokes shifts. ABSTRACT A metal‐organic cage was obtained by combining acridone‐based dipyridyl ligands with Pd2+ ions. The cage acts as a potent receptor for
Damien W. Chen +5 more
wiley +2 more sources

