Results 181 to 190 of about 1,122,320 (225)

Design of Polymeric 3D Printable Materials for THz Technology Applications. [PDF]

ACS Appl Polym Mater
Tosetto B, Pilozzi L, Missori M, Camellini A, Guo TM, Pirri CF, Laplace Y, Rizza G, Roppolo I.   +8 more
europepmc   +1 more source

Preserving exposed hydrophilic bumps on multi-bioinspired slippery surface arrays unlocks high-efficiency fog collection and photocatalytic cleaning. [PDF]

Nat Commun
Wu J, Li C, Dai J, Yan Y.
europepmc   +1 more source

Universality of the Microcanonical Entropy at Large Spin. [PDF]

Commun Math Phys
Pal S, Qiao J, van Rees BC.
europepmc   +1 more source

Integrated Dynamic Modeling and Ground Test Validation for Spacecraft Micro-Vibration Suppression Considering Disturbance, Isolation, and Pointing Control. [PDF]

Sensors (Basel)
Wang H, Yan H, Tian L, Zang X, Zu Y.
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Capillary-Regulated Carbonized Lotus Stem for Efficient Solar-Driven Water Evaporation and Purification. [PDF]

Biomimetics (Basel)
Yuan Z, Li X, Deng S, Hu L, Li L, Zhang K, Zhang P, Yang Z, Huang J, Huang K, Shui L, Xue L.   +11 more
europepmc   +1 more source

Stability analysis and numerical simulation of nonlocal extended epidemic models using positivity-preserving scheme. [PDF]

Sci Rep
Yousuf M, Alshakhoury N.
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Fourier–Laplace transforms and orthogonal polynomials

Journal of Approximation Theory, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Fourier–Laplace convolution transforms

Integral Transforms and Special Functions, 2015
In this paper, we introduce two classes of integral transforms related to two generalized convolutions for the Fourier cosine, Fourier sine and Laplace transforms. The Watson type theorem for these transforms is also obtained. As applications we apply these convolutions to solve some classes of integral and integro-differential equations.
Nguyen Xuan Thao, Vu Kim Tuan, Le Xuan Huy, Nguyen Thanh Hong   +3 more
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On Joint Fourier–Laplace Transforms

Communications in Statistics - Theory and Methods, 2010
Weak convergence of random variables is characterized by pointwise convergence of the Fourier transform of the respective distributions, and in some cases can also be characterized through the Laplace transform. For some distributions, the Laplace transform is easier to compute and provides an alternative approach to the method of characteristic ...
Patrick Fitzsimmons, Tucker McElroy
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