Results 41 to 50 of about 65,368 (313)

Direct prediction of inelastic neutron scattering spectra from the crystal structure

Machine Learning: Science and Technology, 2023
Inelastic neutron scattering (INS) is a powerful technique to study vibrational dynamics of materials with several unique advantages. However, analysis and interpretation of INS spectra often require advanced modeling that needs specialized computing ...
Yongqiang Cheng, Geoffrey Wu, Daniel M Pajerowski, Matthew B Stone, Andrei T Savici, Mingda Li, Anibal J Ramirez-Cuesta   +6 more
doaj   +1 more source

Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films

Advanced Materials, EarlyView.
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford, Anne Flechsig, Shilei Ding, Emir Karadža, Niklas Kercher, Tobias Goldenberger, Elisabeth Müller, Pietro Gambardella, Laura J. Heyderman, Aleš Hrabec   +9 more
wiley   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

Neutrons reveal the dynamics of leaf thylakoids in living plants

Scientific Reports
The study is the first known exploration of photosynthetic membranes dynamics in living plants by high resolution quasielastic neutron scattering spectroscopy.
Laura-Roxana Stingaciu, Hugh O’Neill, Chung-Hao Liu, Barbara R. Evans, Gergely Nagy   +4 more
doaj   +1 more source

Visualization and quantification of inhomogeneous and anisotropic magnetic fields by polarized neutron grating interferometry

Nature Communications, 2019
The magnetic field imaging on microscopic scale is of great importance to fundamental research as well industrial applications. Here the authors show the capability to visualize and characterize the magnetic properties with 100-micrometer resolution in ...
Jacopo Valsecchi, Ralph P. Harti, Marc Raventós, Muriel D. Siegwart, Manuel Morgano, Pierre Boillat, Markus Strobl, Patrick Hautle, Lothar Holitzner, Uwe Filges, Wolfgang Treimer, Florian M. Piegsa, Christian Grünzweig   +12 more
doaj   +1 more source

Neutron Scattering in Australia

Neutron News, 1996
Neutron scattering techniques have been part of the Australian scientific research community for the past three decades. The High Flux Australian Reactor (HIFAR) is a multi-use facility of modest performance that provides the only neutron source in the country suitable for neutron scattering. The limitations of HIFAR have been recognized and recently a
openaire   +2 more sources

Neutron Reflectometry and Compression of Graded Hydrogel Surfaces

Advanced Materials Interfaces, EarlyView.
Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer, Alex Q. Zhang, Mehdi Karimi, Ahmed Al Kindi, Linnaea D. Uliassi, Nemea S. Courelli, Julia J. Ong, Conor D. Pugsley, Andrew R. Rhode, Erik B. Watkins, Rebecca J.L. Welbourn, Alexander Alexeev, Angela A. Pitenis   +12 more
wiley   +1 more source

Vibrationally informed ML potentials: Optimizing interatomic force fields using simulated neutron scattering functions [PDF]

APL Machine Learning
Recent advances in ab initio molecular dynamics (AIMD) have enabled precise simulations of vibrational dynamics in molecular systems; however, the high computational cost of AIMD limits its application to small-scale systems and short time spans. Machine
Gaurav Vishwakarma, Yongqiang Cheng, Christina Hoffmann   +2 more
doaj   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source