Results 231 to 240 of about 292,067 (328)

Multiscale Structural Modulation and Synergistic Enhancement of Transparency and Relaxor Behavior in La³⁺-Doped KNN Lead-Free Ceramics. [PDF]

Nanomaterials (Basel)
Yang X, Wang L, Luo L, Wu W, Wu B, Li J, Li J, Zeng T, Xia G.   +8 more
europepmc   +1 more source

Phonons in Single‐Domain κ‐Ga2O3 Studied by Polarization Angle‐Resolved Raman Scattering

Advanced Electronic Materials, Volume 12, Issue 3, 4 February 2026.
Single‐domain κ‐Ga2O3 is systematically studied using advanced Raman spectroscopy, revealing over 100 Raman‐active phonon modes. These modes are compared with theoretical predictions and organized within a newly established nomenclature, offering a robust reference for future research.
Alwin Wüthrich, Benjamin M. Janzen, Roland Gillen, Hans Tornatzky, Andrea Ardenghi, Oliver Bierwagen, Anna Sacchi, Piero Mazzolini, Maximilian Ries, Temma Ogawa, Hiroyuki Nishinaka, Markus R. Wagner   +11 more
wiley   +1 more source

Superior Electromechanical Power at Rare-Earth Manipulated Glassy Morphotropic Phase Transitions. [PDF]

Adv Sci (Weinh)
Zhang L, He L, Xu S, Wang H, Sun Y, Ran Y, Wang D, Chen K, Deng J, Chen Z, Wang D, Carpenter MA, Yang S.   +12 more
europepmc   +1 more source

Ferroelectric–Electrolyte Hybrid Gate Dielectrics for Organic Synaptic Transistors with Long‐Term Plasticity

Advanced Electronic Materials, Volume 12, Issue 3, 4 February 2026.
Poor long‐term retention of organic electrochemical transistor (OECT) artificial synapses with poly(3,4‐ethylenedioxythiophene): poly(styrene sulfonate) (PEDOT: PSS) have been a major obstacle for precise emulation of synaptic functions, mainly because of uncontrollable diffusion of mobile ions.
Minsub Lee, Donghee Shin, Jaehui Cheon, Sumin Lee, Chanwoo Park, Jaegyun Im, Jaegeun Lee, Jin Hong Lee, Jong S. Park, Beomjin Jeong   +9 more
wiley   +1 more source

On the self-assembly of polarization domain observed in the relaxor ferroelectric Pb[(Mg1/3Nb2/3)0.722Ti0.278]O3

K. Namikawa, Masahiko Ishino, Kenji Ohwada, Eiko Matsushita, Noboru Hasegawa, Masaharu Nishikino   +5 more
openalex   +1 more source

Flash annealing-engineered wafer-scale relaxor antiferroelectrics for enhanced energy storage performance. [PDF]

Sci Adv
Li Y, Song K, Zhu M, Li X, Zeng Z, Luo K, Jiang Y, Zhang Z, Li C, Wang Y, Li B, Wang Z, Zhang Z, Hu W.   +13 more
europepmc   +1 more source

Nitride Ferroelectric Domain Wall Memory for Next‐Generation Computing

Advanced Electronic Materials, Volume 12, Issue 3, 4 February 2026.
In this study, a nitride ferroelectric domain wall memory (FeDMEM) device with potential for scalable integration into conventional CMOS technology is demonstrated. The novel domain wall conduction phenomena and its reflection in the memristive response of fiber‐textured Pt/Al0.72Sc0.28N(20 nm)/Pt capacitors is examined, revealing high read currents ...
Georg Schönweger, Deik Dasenbrook, Niklas Kyoushi, Roberto Guido, Adrian Petraru, Thomas Mikolajick, Uwe Schröder, Hermann Kohlstedt, Simon Fichtner   +8 more
wiley   +1 more source

Recent Advances and Opportunities in Nanomaterial‐Based Absorption‐Dominant High Green Index Electromagnetic Interference Shields

Small Structures, Volume 7, Issue 2, February 2026.
An in‐depth review of the nanomaterial‐based electromagnetic interference shields, which are absorption‐dominant and have a high green index. The design strategies of absorption‐dominant shields are analyzed, and current challenges and potential pathways to guide future advancements and practical implementation are outlined.
Sanjoy Sur Roy, Koushik Ghosh, M. Meyyappan, P. K. Giri   +3 more
wiley   +1 more source

Polymorphic functionalization driven by ion displacement-induced antiferroelectric ordering in CuBiP₂Se₆. [PDF]

Nat Commun
Yang D, Meng W, Wang Z, Yu T, Li C, Zhang Q, Zhang Z, Li H, Lin Y, Xue F, Lin P, Sun L.   +11 more
europepmc   +1 more source

Machine learning approaches for crystallographic classification from synthetic 2D X‐ray diffraction data

Journal of Applied Crystallography, Volume 59, Issue 1, Page 206-224, February 2026.
This study introduces the novel Auto Diffraction Pipeline to generate large‐scale synthetic 2D X‐ray diffraction datasets from crystallographic information files. By training convolutional neural networks on these diverse datasets, the authors achieve rapid and automated classification across all seven crystal systems and 230 space groups ...
Ayoub Shahnazari, Zeliang Zhang, Sachith E. Dissanayake, Chenliang Xu, Niaz Abdolrahim   +4 more
wiley   +1 more source