Results 211 to 220 of about 78,303 (310)
Li‐Well ZnO Memtransistors: High Reliability for Neuromorphic Applications
A novel lithium (Li)‐well ZnO memtransistor integrates transistor switching and nonvolatile memory, akin to ferroelectric field‐effect transistors (FeFETs) and floating gates, while enabling low‐power operation via Li⁺ ion migration. Li⁺ ion migration and switching mechanisms were confirmed by 3D secondary ion mass spectrometry (SIMS).
Ki‐Hoon Son +4 more
wiley +1 more source
Observation of multiple time crystals in a driven-dissipative system with Rydberg gas. [PDF]
Jiao Y +7 more
europepmc +1 more source
First‐Principles Investigation of the T‐ and M‐Centers in Silicon Using Meta‐GGA Functionals
The relaxed structure for (a) T‐center and (b) M‐center. The calculations on the T‐center demonstrate excellent agreement with the HSE06, reinforcing the efficiency of meta‐GGA approaches for accurate defect characterization in Si. The M‐center is introduced, revealing promising quantum optical properties.
Petros‐Panagis Filippatos +2 more
wiley +1 more source
Efficient optimization accelerator framework for multi-state spin Ising problems. [PDF]
Garg C, Salahuddin S.
europepmc +1 more source
A self‐consistent ab initio many‐body perturbation theory combined with locally exact dynamical mean field theory is employed to compute the sub‐bandgap electronic transitions in van der Waals antiferromagnets. The rich interplay between the magnetic ordering and spin‐entangled optical transitions, manifested as photoluminescence and absorption ...
Dipankar Jana +7 more
wiley +1 more source
Compact quantum dot models for analog microwave co-simulation. [PDF]
Peri L +3 more
europepmc +1 more source
The external field exceeds Hd, the speed polarization abruptly reorients to align with the Mn magnetic moments, leading to an MR ≈ −100%. Abstract Mn3Si2Te6, quasi‐2D ferrimagnetic semiconductor, exhibits anomalous saturated colossal magnetoresistance (CMR) only when a magnetic field is applied along its magnetic hard magnetization axis, suggesting ...
Shiqi Li +10 more
wiley +1 more source
Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system. [PDF]
Doria Rosales E, Carbone V, Lepreti F.
europepmc +1 more source
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley +1 more source

