Results 121 to 130 of about 10,226 (265)
Description / Abstract: Theoretical Framework: HST is a background-independent, experimentally verifiable unified theory which solves many of the outstanding problems in current physics models of our world. To do this, the theory redefines gravity, time, the speed of light, and mass, while providing resolutions for the Dark Sector (Matter/Energy), the ...
Bell, Jules, [AI] Gemini (Google)
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Advanced Materials, EarlyView.A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk +7 more
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Mathematical theory on difference approximation for scalar conservation law
Mathematical theory on difference approximation for scalar conservation law航空宇宙技術研究所 6-7 JUN. 1996 東京 日本 National Aerospace Laboratory 6-7 JUN. 1996 Tokyo Japan スカラー保存則に対する差分近似の数学的理論を数値粘性の観点から概観し、新規の結果を述べた。理論における最重要事項は、エントロピー解(物理的に適切な解)への収束を証明することにある。その目的に対し、エントロピー条件との整合性を論じることが多い。他方で、実際的観点からは高精度を強く要求される。エントロピー解へ収束し、かつ高精度な差分近似の一般的なクラスを確定することは依然として未解決の問題である。研究の目標を数値粘性の観点から明解な理論の概観を示すことにおいた。数値粘性係数により差分近似を分類することにより ...
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Advanced Materials, EarlyView.ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
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Why does feedback work? Unpacking the serial mediation of emotion regulation and discourse skills in mathematics. [PDF]
Front PsycholWu M, Liu Y, Guo J, Talib O.
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Description / Abstract: Theoretical Framework: HST is a background-independent, experimentally verifiable unified theory which solves many of the outstanding problems in current physics models of our world. To do this, the theory redefines gravity, time, the speed of light, and mass, while providing resolutions for the Dark Sector (Matter/Energy), the ...
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Measuring the Hall Effect in Hysteretic Materials
Advanced Materials, EarlyView.The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
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An Inverse Signorini Obstacle Problem. [PDF]
Arch Ration Mech Analde Hoop MV +4 more
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