Results 111 to 120 of about 375,845 (279)

Synthetic tensor gauge fields

Physical Review Research
Synthetic gauge fields have provided physicists with a unique tool to explore a wide range of fundamentally important phenomena. However, most experiments have focused on synthetic vector gauge fields.
Shaoliang Zhang, Chenwei Lv, Qi Zhou
doaj   +1 more source

Non‐volatile Sliding Ferroelectric Memory Effect in Ultrathin γ‐InSe

Advanced Electronic Materials, EarlyView.
Room‐temperature sliding ferroelectricity in γ‐InSe enables a two‐dimensional FeFET with a 6.8 V memory window, above 104 conductance modulation, longer than 10‐years retention and above 103 cycles fatigue resistance. An ultrathin (4.8 nm) γ‐InSe ferroelectric tunnel junction exhibits reversible high/low resistance switching with TER of 105 at room ...
Yue Li, Luoyang Ding, Zhixiong Li, Feng Chen, Xiaoyao Weng, Min Zhu, Siyuan Wan, Yangbo Zhou   +7 more
wiley   +1 more source

Precision phenotyping in wheat: LiDAR-based plant height estimation and lodging classification using uncrewed ground vehicles

Canadian Journal of Remote Sensing
Accurate phenotyping of wheat traits is essential for advancing breeding programs and crop science research. This study employs the University of Saskatchewan Field Phenotyping Systems (UFPS), an uncrewed ground vehicle (UGV), across six Canadian ...
Prabahar Ravichandran, Keshav D. Singh, Scott D. Noble, Raju Soolanayakanahally, Jatinder S. Sangha, Elizabeth K. Brauer, Oscar Molina, Kirby T. Nilsen, Harpinder S. Randhawa, Keith Halcro, Clare Workman, Shankar Pahari   +11 more
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Projective duality of arrangements with quadratic logarithmic vector fields

Discrete Mathematics, 2016
11 pages, 1 ...
openaire   +3 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

An effective theory of anomalous charge diffusion from holography

Nuclear Physics B
We consider a probe U(1) Maxwell-Chern-Simons theory in 5-dimensions, and analyze the vector perturbations around a classical charged black-brane background. We solve the equations of motion for these perturbations in a derivative expansion. By computing
Jewel K. Ghosh, M. Arshad Momen
doaj   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Synthesis of combined shielding system for overhead power lines magnetic field normalization in residential building space

Electrical engineering & Electromechanics
Problem. Most studies of power frequency magnetic field reduced to safe level in residential buildings located near overhead power lines carried out based on two-dimensional magnetic field modeling, which does not allow studying of original magnetic ...
B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets, B. B. Kobylianskyi   +5 more
doaj   +1 more source