Results 141 to 150 of about 570,845 (343)

Scientific session of the Division of General Physics and Astronomy of the USSR Academy of Sciences (February 23-24, 1977)

, 1977

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Astronomy and the Laws of Physics [PDF]

, 1977
P. Morrison
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Emergent Spin Fluctuation and Structural Metastability in Self‐Intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ Compounds

Advanced Electronic Materials, EarlyView.
Metastable superstructure and emergent spin fluctuation in self‐intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ ABSTRACT Intercalated van der Waals (vdW) magnetic materials host unique magnetic properties due to the interplay of competing interlayer and intralayer exchange couplings, which depend on the intercalant concentration within the van der ...
Clayton Conner, Ali Sarikhani, Theo Volz, Mathew Pollard, Mitchel Vaninger, Xiaoqing He, Steven Kelley, Jacob Cook, Avinash Sah, John Clark, Hunter Lucker, Cheng Zhang, Paul Miceli, Yew San Hor, Xiaoqian Zhang, Guang Bian   +15 more
wiley   +1 more source

Astronomy, Physics and Chemistry [PDF]

Science, 1904
openaire   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

Pressure‐Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2Sb2

Advanced Electronic Materials, EarlyView.
Pressure tunes the delicate balance between structure, magnetism, and electronic states in quantum materials. In YbMn2Sb2, high‐pressure X‐ray and neutron diffraction reveal a trigonal‐to‐monoclinic transition near 3.5 GPa, accompanied by unconventional magnetic ordering.
Mingyu Xu, Matt Boswell, Aya Rutherford, Cheng Peng, Ying Zhou, Shuyang Wang, Zhaorong Yang, Antonio M. dos Santos, Haidong Zhou, Weiwei Xie   +9 more
wiley   +1 more source

How Halide Segregation Governs the Ion Density Evolution and Ionic Performance Losses: From Degradation to Recovery

Advanced Energy Materials, EarlyView.
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya, Paria Forozi Sowmeeh, Francisco Pena‐Camargo, Francesco Vanin, Tino Lukas, Yuxin Dong, Qifan Feng, Ziwei Liu, Waqar Ali Memon, Danpeng Gao, Jianqiu Gong, Xin Wu, Andres Felipe Castro Mendez, Jan Hagenberg, Zahra Abadi, Thomas Hultzsch, Xinyi Zhao, Sahil Shah, Hui Yu, Varun Srivastava, Jianbin Xu, Ni Zhao, Felix Lang, Zonglong Zhu, Martin Stolterfoht   +24 more
wiley   +1 more source

Reflections on the Physics and Astronomy Student Reading Society (PhASRS) at San Jose State University [PDF]

, 2022
Sidney L. Johnson, Athanasios Hatzikoutelis, Christopher L. Smallwood   +2 more
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Influence of Metal Species and Content of Fe‐Ni‐Poly(heptazine imides) on their Properties as Electrocatalysts for Zinc‐Air Batteries

Advanced Energy Materials, EarlyView.
Iron/nickel‐modified poly(heptazine imides) are efficient, low‐cost bifunctional electrocatalysts for the oxygen reduction and evolution reactions in aqueous zinc–air batteries. Iron enhances oxygen reduction, while nickel single‐atoms deliver oxygen evolution activity comparable to RuO2.
Franz Jacobi, Rudolf Frank Baumgart, Robert Leiter, Marius Hermesdorf, Sri Rezeki, Alexander Kemmesies, Christof Neumann, Andrey Turchanin, Christopher Schlesiger, Simon Fleischmann, Desirée Leistenschneider   +10 more
wiley   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source