Results 121 to 130 of about 6,363 (257)

Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing

Advanced Science, EarlyView.
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley   +1 more source

Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers

Advanced Science, EarlyView.
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang, Wenshu Ouyang, Yuhang Xiao, Wei Yan, Meifang Zhu   +4 more
wiley   +1 more source

Pressure driven rotational isomerism in 2D hybrid perovskites. [PDF]

Nat Commun, 2023
Yin T, Yan H, Abdelwahab I, Lekina Y, Lü X, Yang W, Sun H, Leng K, Cai Y, Shen ZX, Loh KP.   +10 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

From Materials to Medical Images: Translating Perovskite‐Based X‐Ray Detectors Toward Clinical Imaging

Advanced Science, EarlyView.
This review examines perovskite‐based X‐ray detectors from a materials‐to‐medical‐images perspective. Recent progress in perovskite‐based X‐ray detectors is discussed with emphasis on their relevance to clinical imaging. The key barriers to clinical implementation are analyzed.
Sibin Wang, Yongrui Yang, Kun Zhang, Xiaojuan Lu, Hong Yin, Yali Qiao, Xiaojia Zheng, Xiao Zhang, Yanlin Song   +8 more
wiley   +1 more source

Halide Site Engineering of Organic-Inorganic Hybrid Perovskites: A Facile Strategy for Frequency-Controllable Microwave Absorption. [PDF]

Micromachines (Basel)
Zhou J, Zhang Z, Yao Y, Wang F, Wu H, Shi M, Zhou W.   +6 more
europepmc   +1 more source

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Fingerprinting organic molecules for the inverse design of two-dimensional hybrid perovskites with target energetics. [PDF]

Sci Adv
Lyu Y, Zhou Y, Zhang Y, Yang Y, Zou B, Weng Q, Xie T, Cazorla C, Hao J, Yin J, Wu T.   +10 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Dynamic lattice disorder overrides energetics for barrierless interfacial charge transfer in 2D hybrid perovskites. [PDF]

Sci Adv
Li T, Lu H, Xia M, Tao W, Zhang Y, He G, Shi E, Long R, Zhu H.   +8 more
europepmc   +1 more source