Results 221 to 230 of about 701,026 (330)
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Data-driven analysis of chemical graph of carbazole and diketopyrrolopyrrole. [PDF]
Mufti ZS +5 more
europepmc +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
Towards efficient solutions: A novel approach to quadratic nonlinearity in boundary value problems. [PDF]
Kouser S +5 more
europepmc +1 more source
Topologically Protected Negative Entanglement
It is revealed that topological flat‐band edge states can lead to robust unconventional negative entanglement entropy scaling. This arises from a new mechanism of non‐Hermitian critical skin compression (nHCSC), which strongly “compresses” quantum information beyond flat‐band degeneracy.
Wen‐Tan Xue, Ching Hua Lee
wiley +1 more source
Response Surface Methodology Optimization of Electron-Beam-Irradiated Carboxymethyl Cellulose/Citric Acid-Based Hydrogels. [PDF]
Choi SR, Lee JM.
europepmc +1 more source
On the Qinghai–Tibetan Plateau, microbial carbon use efficiency (CUE) peaks at intermediate soil organic carbon levels and declines thereafter. In carbon‐rich soils, the formation of stable mineral‐associated organic carbon is decoupled from microbial CUE.
Yuting Wang +8 more
wiley +1 more source
Green's Function Perspective on the Nonlinear Density Response of Quantum Many-Body Systems. [PDF]
Vorberger J +4 more
europepmc +1 more source
Physical Interpretation of Diffractive Optical Networks for High‐Dimensional Vortex Mode Sorting
The first layer‐resolved physical interpretation of diffractive optical networks trained for high‐dimensional vortex mode sorting is presented, revealing transformation division phenomena linked to saturated performance as layer numbers increase. This analysis reconciles physical theorems with network operations, enabling physics‐driven design of ...
Ruitao Wu +7 more
wiley +1 more source

