Nonreciprocal vortex isolator via topology-selective stimulated Brillouin scattering. [PDF]
Sci Adv, 2022 Zeng X +5 more
europepmc +1 more source
Topological Materials and Related Applications
Advanced Electronic Materials, EarlyView.This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti +9 more
wiley +1 more source
Guided-acoustic stimulated Brillouin scattering in silicon nitride photonic circuits. [PDF]
Sci Adv, 2022 Botter R +13 more
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Advanced Energy Materials, EarlyView.The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li +11 more
wiley +1 more source
Spin Transition of Iron in Deep‐Mantle Ferromagnesite
Geophysical Monograph Series, Page 115-125., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Jiachao Liu, Suyu Fu, Jung‐Fu Lin
wiley +2 more sources
Time-domain Brillouin scattering theory for probe light and acoustic beams propagating at an angle and acousto-optic interaction at material interfaces. [PDF]
Photoacoustics, 2023 Gusev VE +3 more
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A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Application of digital technique to the spectral analysis of Mandelshtam-Brjllouin scattered light
Archives of Acoustics, 2015 The experimentally recorded Mandelshtam-Brillouin type light scattering function is in general a convolution of the real scattering function and the overall instrumental function, accounting for all the deformations introduced by the measuring ...
Tomasz HORNOWSKI, Mikołaj ŁABOWSKI
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Brillouin Scattering and First-Principles Studies of BaMO3 (M = Ti, Zr, and Cu) Perovskites. [PDF]
Materials (Basel), 2022 Helal MA, Kojima S.
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