Results 121 to 130 of about 82,510 (316)

Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics

Advanced Science, EarlyView.
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet, Priyanka Kumari, Sathyanarayana Paladugu, Damian Pociecha, Jakub Karcz, Przemysław Kula, Nataša Vaupotič, Ewa Górecka, Oleg D Lavrentovich   +8 more
wiley   +1 more source

Coupling and particle number intertwiners in the Calogero model

Journal of High Energy Physics
It is long known that quantum Calogero models feature intertwining operators, which increase or decrease the coupling constant by an integer amount, for any fixed number of particles.
Francisco Correa, Luis Inzunza, Olaf Lechtenfeld   +2 more
doaj   +1 more source

POSS Polyimide Composite Sealed Triple‐Junction GaAs Thin‐Film Solar Cell for Long‐Term Low Earth Orbit Serve

Advanced Science, EarlyView.
Ultrathin oxide layer and ultraviolet absorbent are introduced into polyhedral oligomeric silsesquioxane (POSS) polyimide to improve the transmittance conservation and realize near zero mass loss against ultraviolet and atomic oxygen exposures. The POSS polyimide composite sealed triple‐junction GaAs thin‐film solar cell exhibits enhanced endurance of ...
Min Qian, Min Wu, Xiaoyang Xuan, Yang Gao   +3 more
wiley   +1 more source

Mathematical Prediction for Geometry‐Mediated Cell 3D In‐Growth on Bone Tissue Engineering Scaffolds

Advanced Science, EarlyView.
This study identifies a fundamental pore size dependent pattern of three dimensional bone marrow derived mesenchymal stem cell (BMSC) infiltration within porous scaffolds, where small pores promote horizontal cellular bridging and large pores facilitate vertical migration.
Xiang Gao, Zhijun Yu, Yu Yan, Jiamin Ding, Wangsiyuan Teng, Chenhe Zhou, Minjun Yao, Wenkan Zhang, Shenzhi Zhao, Fangqian Wang, Zhenxuan Shao, Jinfeng Zhou, Xiaoyong Wu, Chengcheng Yu, Liang Chen, Xiaoqiang Jin   +15 more
wiley   +1 more source

On matrices associated to prime factorization of odd integers [PDF]

, 2008
Bier
openalex   +1 more source

Polarization‐Multiplexed Metalens Enables Switchable and Compact Chromatic Confocal Sensing with Dual‐Mode Precision Control

Advanced Science, EarlyView.
This work breaks conventional design paradigms by leveraging a polarization‐multiplexed metasurface to create the first chromatic confocal sensor with dynamically switchable measurement performance, achieving 10‐fold miniaturization (Ø1 mm vs cm‐scale conventional probes).
Zhicheng Zhao, Yuting Jiang, Tao Lai, Wenxiang Peng, Yueqiang Hu, Shanyong Chen   +5 more
wiley   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Canonical form of modular hyperbolas with an application to integer factorization [PDF]

, 2020
Juan Di Mauro
openalex   +1 more source

3D‐MOF‐Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami

Advanced Science, EarlyView.
A novel metamaterial design strategy: inspired by MOFs crystal networks, creating reconfigurable modular polyhedral units to overcome the limitations of traditional materials. These modules exhibit adjustable stiffness, bistability, and Poisson's ratio that can be adjusted from negative to positive values.
Xi Kang, Yangqin Zhang, Hongshuang Fan, Ziyan Xu, Yue Dong, Bing Li   +5 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source