Results 101 to 110 of about 20,567 (255)
In short-term load forecasting, deep learning models with recurrent units are widely used. For Long Short-term Memory (LSTM) models, in terms of the input features at one particular time-step, there is a weight series for each input feature.
Shubo Hu +7 more
doaj +1 more source
Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride
State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley +1 more source
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Direct Evidence of Topological Dirac Fermions in a Low Carrier Density Correlated 5d Oxide
The 5d oxide BiRe2O6 is discovered as a low‐carrier‐density topological semimetal hosting symmetry‐protected Dirac fermions stabilized by nonsymmorphic symmetries. Angle‐resolved photoemission spectroscopy, quantum oscillations, and magnetotransport measurements reveal gapless Dirac cones, quasi‐2D Fermi surfaces, high carrier mobility, and a field ...
Premakumar Yanda +11 more
wiley +1 more source
Informational rescaling of PCA maps with application to genetic distance
Principal Component Analysis (PCA) is a powerful multivariate tool allowing the projection of data in low-dimensional representations. Nevertheless, datapoint distances on these low-dimensional projections are challenging to interpret. Here, we propose a
Nassim Nicholas Taleb +5 more
doaj +1 more source
Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
wiley +1 more source
MI-PRUN: Optimize Large Language Model Pruning via Mutual Information [PDF]
Hao Zhang +5 more
openalex +2 more sources
VBO-MI: A Fully Gradient-Based Bayesian Optimization Framework Using Variational Mutual Information Estimation [PDF]
Farhad Mirkarimi
openalex +2 more sources
Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim +4 more
wiley +1 more source
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig +11 more
wiley +1 more source

