Results 131 to 140 of about 230,209 (328)
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
wiley +1 more source
The Bernoulli polynomials for natural x were first considered by J.Berno\-ulli (1713) in connection with the problem of summation of the powers of consecutive positive integers. For arbitrary $x$ these polynomials were studied by L.Euler.
O. Shishkina
doaj
Partial sharing of small functions with exact difference
We have proven certain uniqueness results related owing to the partial sharing of small functions of $f$ with difference polynomials of the form $L(f)=b_k(z)f(z+kc)+\ldots +b_0(z)f(z)$, where $b_i$ are small functions of $f$.
Audrija Choudhury, Rupa Pal
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Representation theory approach to the polynomial solutions of q-difference equations: Uq(sl(3)) and beyond [PDF]
V. K. Dobrev+2 more
openalex +1 more source
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
wiley +1 more source
Computation of Difference Grobner Bases [PDF]
This paper is an updated and extended version of our note \cite{GR'06} (cf.\ also \cite{GR-ACAT}). To compute difference \Gr bases of ideals generated by linear polynomials we adopt to difference polynomial rings the involutive algorithm based on Janet ...
Vladimir P. Gerdt, Daniel Robertz
doaj
Commuting difference operators with applications to orthogonal polynomials in several variables [PDF]
J. F. van Diejen
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AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
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
wiley +1 more source
Advances in Topological Thermoelectrics: Harnessing Quantum Materials for Energy Applications
Topological materials offer a novel platform for thermoelectric energy conversion through unique band features, including band inversion, linear Dirac bands, surface states, and Berry curvature. These quantum characteristics enable enhanced longitudinal and transverse thermoelectric effects, establishing topological thermoelectrics as a promising ...
Guangsai Yang+8 more
wiley +1 more source
When looking at a sequence of numbers, one that can be defined by a polynomial function of a natural number degree, one most commonly would use a difference table to find the degree followed by a system of equations to find the equation that models the ...
Rithvik Ravikumar
doaj