Results 151 to 160 of about 3,239,262 (362)
USDOE Office of Energy Research, Washington, DC (United States). Mathematical, Information and Computational Sciences Div.
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AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
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Contribution of learning model student teams achievement division in understanding mathematical concepts [PDF]
Andi Susanto +2 more
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Intrinsically disordered protein‐inspired nanovectors (IDP‐NVs) form stable nanocoacervates (NCs) with diverse biomacromolecules. In situ conformational changes confer stability and adaptability to NCs under dynamically changing physiological conditions.
Soyeong Jin +14 more
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Background: Mathematics is closely related to daily human activities due to its evolution alongside cultural advancements. However, the subject is considered complex and distant from students' daily experiences.
Hikmawati Pathuddin, Kamariah Kamariah
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Deciphering the Replication-Division Coordination in E. coli: A Unified Mathematical framework for Systematic Model Comparison [PDF]
A. Perrin +3 more
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In this work, nonzero Berry curvature in photonic crystals is induced by breaking unit cell inversion symmetry through spatial shifts rather than geometrical modifications. This enables the design of ultraconfined topological states with subwavelength in‐plane field confinement and out‐of‐plane field isolation.
Yi Ji Tan, Ranjan Singh
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Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
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