Results 141 to 150 of about 1,691,025 (355)
The colored Jones polynomial and the A-polynomial of Knots
Advances in Mathematics, 2006 We study relationships between the colored Jones polynomial and the A-polynomial of a knot. We establish for a large class of 2-bridge knots the AJ conjecture (of Garoufalidis) that relates the colored Jones polynomial and the A-polynomial. Along the way we also calculate the Kauffman bracket skein module of all 2-bridge knots.
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Advanced Materials, EarlyView.A ferroelectric‐gated phototransistor (FGPT) enables linear and multilevel modulation of photoconductance through partial polarization switching and photogating effects. The device achieves photonic non‐volatility over a 153 dB dynamic range and performs in‐sensor processing under unstructured illumination, demonstrating enhanced face recognition ...
Yubin Lee +13 more
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Determination of orthogonal polynomials from Polya's law [PDF]
, 1935 Ota Fischer
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Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
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On quadratic polynomials having many prime number values [PDF]
, 1953 Jan Mařík
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Advanced Materials, EarlyView.Observation and detection of neurotransmitter dynamics in aqueous system has been hurdle for analytical fields due to its weak and reversible nature. A terahertz‐nanodisc metasurface which implements comprehensive detection over conformational change and selective sensing is introduced. Utilizing the THz regime photonics and biomimetic environment with
Taeyeon Kim +6 more
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On the location of the roots of certain types of polynomials [PDF]
, 1922 J. L. Walsh
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AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
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Metric properties of polynomials [PDF]
, 1958 P. Erdős, Fritz Herzog, George Piranian
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Polynomial addition sets and polynomial digraphs
Linear Algebra and its Applications, 1985 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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