Results 211 to 220 of about 16,640,145 (271)
Non-Homotopic Drawings of Multigraphs. [PDF]
Girão A +3 more
europepmc +1 more source
A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar +9 more
wiley +1 more source
Data-Efficient Mapping of Copolymerization Curves and Reactivity Ratios via Gradient Flow Polymerization, Inline ATR-FTIR, and Lasso Regression. [PDF]
Wakiuchi A +14 more
europepmc +1 more source
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong +10 more
wiley +1 more source
Softening Locally Polyhedral Tilings. [PDF]
Ambrus G, Dancsó D.
europepmc +1 more source
Unified Pressure and Field Response Across Distinct Charge‐Order Regimes in Ti‐Doped CsV3Sb5
We microscopically investigate the interplay between charge order and superconductivity in a kagome superconductor across regimes of long‐ and short‐range charge order. Hydrostatic‐pressure and magnetic‐field μSR$\mu{\rm SR}$ measurements reveal remarkably similar superconducting and normal‐state time‐reversal‐symmetry‐breaking responses in both ...
P. Kral +12 more
wiley +1 more source
Virtual sensing to enable real-time monitoring of inaccessible locations & unmeasurable parameters. [PDF]
Kobayashi K +6 more
europepmc +1 more source
Three-dimensional microelectrode arrays for <i>in vitro</i> neuronal network models: structural designs, manufacturing approaches, and future perspectives. [PDF]
Yoon D, Nam Y.
europepmc +1 more source
Hydrogen-helium immiscibility boundary in gas-giant planetary interiors from machine-learning molecular dynamics. [PDF]
Wang X, Hamel S, Cheng B.
europepmc +1 more source

