Results 121 to 130 of about 31,361 (268)

Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites

Advanced Science, EarlyView.
 A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam, Alejandro Rodriguez, Riccardo Rurali, Ming Hu   +3 more
wiley   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

Advanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang, Xinyuan Ke, Andrew Heath, Richard J. Ball, Jiawei Xie, Jinchen Fan, Guisheng Li, Kevin Paine   +7 more
wiley   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Refinements of inequalities on extremal problems of polynomials

Open Mathematics
Let H(z) be a polynomial of degree n, and for any complex number α, let D α H(z) = nH(z) + (α − z)H′(z) denote the polar derivative of H(z) with respect to α.
Devi Maisnam Triveni, Singh Thangjam Birkramjit, Chanam Barchand   +2 more
doaj   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Boosting Photo‐Pyroelectric Effect via Tunable Polarization and Interfacial Defect Engineering

Advanced Science, EarlyView.
This study reports Ba(Ti0.85Zr0.15)O3 nanocatalysts with enhanced polarization and oxygen‐vacancy‐rich interfaces for efficient NIR‐II photo‐pyroelectric therapy. Zr doping boosts the pyroelectric coefficient and accelerates polarization switching, while oxygen vacancies improve photothermal conversion and surface reactivity.
Yanli Huang, Haifen Luo, Jie Yin, Shuai Cao, Gaolei Dong, Zhi Tan, Chunlin Zhao, Peiye Wen, Fengwei Sun, Shan Zhang, Xianzeng Zhang, Yunlu Dai, Zhen Yang, Wei Huang   +13 more
wiley   +1 more source

Cortical Somatostatin Neurons Regulate Seizure Susceptibility via MINAR1/Gαs–cAMP Signaling

Advanced Science, EarlyView.
Our study identifies MINAR1 as a novel regulator of cortical interneuron excitability and seizure susceptibility. MINAR1 is preferentially expressed in SST+ interneurons. Genetic ablation of MINAR1 leads to seizure hypersensitivity, reduced SST+ neuron excitability, and impaired Gαs–cAMP signaling, disrupting the E/I balance.
Wei‐Tang Liu, Zhi‐Bin Hu, Ling Hu, Yu‐Bing Wang, Qiong Zhang, Ning‐Ning Song, Xi‐Yue Liu, Jia‐Yin Chen, Hong‐Wen Zhu, Bing‐Yao Zhou, Yun‐Chao Tao, Li Zhao, Ze‐Xuan Li, Yi‐Wei Li, Jia‐Qi Chen, Si‐Xin Tu, Cong‐Cong Qi, Sai‐Dan Ding, Gang Peng, Lin Xu, Yu‐Qiang Ding   +20 more
wiley   +1 more source

A note on the bicategory of Landau-Ginzburg models (ℒ𝒢K) [PDF]

Surveys in Mathematics and its Applications
The bicategory of Landau-Ginzburg models denoted by ℒ𝒢K possesses adjoints and this helps in explaining a certain duality that exists in the setting of Landau-Ginzburg models in terms of some specified relations. The construction of ℒ𝒢K is reminiscent of,
Yves Baudelaire Fomatati
doaj  

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys

Advanced Science, EarlyView.
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin, Cheng‐Wei Lee, Nate S.P. Bernstein, Thi Nguyen, Ande Bryan, Eli Cooper, John S. Mangum, Sage R. Bauers, Andriy Zakutayev, Keisuke Yazawa, Prashun Gorai, Rebecca W. Smaha   +11 more
wiley   +1 more source