Results 221 to 230 of about 2,956,415 (357)
e-Adjacency matrix and e-Laplacian matrix of semigraph
openaire +1 more source
Powering the Future: A Cobalt‐Based Catalyst for Longer‐Lasting Zinc–Air Batteries
A novel N‐doped graphitic shell‐encapsulated Co catalyst reveals superior bifunctional ORR/OER activity in alkaline media, empowering outstanding liquid and quasi‐solid‐state ZAB activity. The system delivers long‐term durability, a peak power density of 127 mW cm−2 and successfully powers an LED and a mini fan.
Manami Banerjee +10 more
wiley +1 more source
DeepPNCC: reconstructing pseudo-spatial cell-cell interaction landscapes from single-cell data to decipher breast cancer pathogenesis. [PDF]
Li XH +9 more
europepmc +1 more source
Property of Inverse Covariance Matrix-based Financial Adjacency Matrix for Detecting Local Groups
Minseog Oh, Donggyu Kim
openalex +1 more source
Optimal sensor placement for fault detection and isolation by the structural adjacency matrix [PDF]
Salima Alem, Djamel Benazzouz
openalex +1 more source
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu +14 more
wiley +1 more source
Population-based guiding for evolutionary neural architecture search. [PDF]
Dendorfer S, Kist AM.
europepmc +1 more source
A review on eigen values of adjacency matrix of graph with cliques
E. Carnia +3 more
semanticscholar +1 more source
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source
LPGGNet: Learning from Local-Partition-Global Graph Representations for Motor Imagery EEG Recognition. [PDF]
Zhang N, Jian H, Li X, Jiang G, Tang X.
europepmc +1 more source

