Results 241 to 250 of about 67,573 (304)

Chirality Engineering and Properties in Two-Dimensional Layered Materials. [PDF]

Small
Zhang J, Zhong Z, Mi Y, Xu Z, Ren T, Li Z.   +5 more
europepmc   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Bifacial ladder polymers enabled by chirality-assisted synthesis that exhibit self-assembly and chirality-induced spin selectivity. [PDF]

Nat Commun
Ishiwari F, Murotani K, Saeki A.
europepmc   +1 more source

Stabilization of Ultrafast Domain Wall Motion by Edge‐Anisotropy Engineering in Ferrimagnetic Nanowires

Advanced Electronic Materials, EarlyView.
Localized laser annealing transforms distorted, edge‐pinned domain‐wall motion in ferrimagnetic Pt/GdFe nanowires into straight, stable, and ultrafast propagation. Experiments and micromagnetic simulations reveal an optimum anisotropy‐engineering window in which moderate edge softening suppresses pinning, whereas excessive anisotropy reduction or ...
Mojtaba Mohammadi, Sina Ranjbar, Yoshinobu Nakatani, Benjamin Lilienthal‐Uhlig, Kenji Tanabe, Hiroyuki Awano   +5 more
wiley   +1 more source

Microchiral pinwheel arrays based on achiral molecules. [PDF]

Nat Commun
Han JY, Park WK, Noh B, Araoka F, Jeong S, Jhun BH, You Y, Park Y, Lee KJ, Heo JM, Yoon DK.   +10 more
europepmc   +1 more source

Selective Tuning of Perpendicular Magnetic Anisotropy and Dzyaloshinskii–Moriya Interaction in Heterostructures Compatible with Magnetic Tunnel Junctions

Advanced Electronic Materials, EarlyView.
ABSTRACT Chirally coupled magnetic tunnel junctions (MTJs) have been proposed as a route toward compact spin logic architectures. Micromagnetic simulations indeed show that chiral coupling between adjacent MTJs with perpendicular magnetic anisotropy (PMA) can be achieved through an in‐plane (IP) interconnection mediated by the Dzyaloshinskii–Moriya ...
Bob Vermeulen, Seongbin Seo, Domenico Giuliano, Jyotirmoy Chatterjee, Giacomo Talmelli, Robert Carpenter, Yann Canvel, Yanan Li, Björn Heinz, Philipp Pirro, Bart Sorée, Kristiaan Temst, Van Dai Nguyen, Gouri Sankar Kar, Siddharth Rao   +14 more
wiley   +1 more source

Prebiotic Absolute Asymmetric Synthesis of d-Ribose on Wollastonite. [PDF]

Chirality
Zhang W, Gao Y, Wang J, Deng Q, Han L, Zhang W, Fang Y.   +6 more
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Interfacial solvothermal synthesis of superhydrophilic ionic salt-derived chiral helical COFs with strong chiroptical activity. [PDF]

Sci Adv
Zha X, Jiang Z, Zuo M, Luo M, Xin Y, Zou Q, Khan NA, Li Y, You H, Xiong Y, Liu Y, Liu L, Li M, Wang D.   +13 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source