Results 91 to 100 of about 1,668,889 (227)
Advanced Electronic Materials, EarlyView.A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu +4 more
wiley +1 more source
Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate
Advanced Electronic Materials, EarlyView.Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino +14 more
wiley +1 more source
State of Ohio executive budget (Online)
Biennial; Print began in 1977.; Description based on: 2004/2005 ...
Ohio. Office of Budget and Management.
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Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning
Advanced Electronic Materials, EarlyView.Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang +6 more
wiley +1 more source
State of Ohio executive budget. Book one, Fiscal years ...
Biennial; Print began in 1977.; Description based on: 2004/2005 ...
Ohio. Office of Budget and Management.
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Advanced Electronic Materials, EarlyView.Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti +5 more
wiley +1 more source
Period covered by reports ends Sept. 30.Mode of access: Internet.Technical background for projections for published in: United States. Congressional Budget Office. Five-year budget projections.
United States. Congressional Budget Office.
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Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source