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Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Scientific Reports
In this work, the tip convolution effect in atomic force microscopy is revisited to illustrate the capabilities of cubic objects for determination of the tip shape and size. Using molecular-based cubic nanoparticles as a reference, a two-step tip rec
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports
Speckle reduction is an important topic in holographic displays as speckles not only reduce signal-to-noise ratio but also possess an eye-safety issue. Despite thorough exploration of speckle reduction methods using partially coherent light sources,
Autor:
Maria Angela Faustino, Elmer Estacio, Armando Somintac, Gerald Angelo Catindig, Masahiko Tani, Hannah Bardolaza, Jessica Afalla, Elizabeth Ann Prieto, Victor Dc Andres Vistro, Valynn Katrine Mag-usara, Arnel Salvador, Alexander De Los Reyes, Neil Irvin Cabello, John Paul Ferrolino, Karl Cedric Gonzales, Hideaki Kitahara
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific Reports
We present the implementation of an efficient terahertz (THz) photoconductive antenna (PCA) emitter design that utilizes high mobility carriers in the two-dimensional electron gas (2DEG) of a modulation-doped heterostructure (MDH). The PCA design is
Autor:
Min Zhong
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific Reports
A single peak tunable metasurface absorber is proposed and verified in Terahertz (THz) range. This absorption peak is excited by the localized surface plasma (LSP) and dielectric loss modes at resonance frequency 2.98 THz with 83% of amplitude. Three
Autor:
Amir Goldental, Karin Kisos, Yuval Meir, Shiri Hodassman, Shira Sardi, Ido Kanter, Itamar Ben-Noam
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
Scientific Reports
Scientific Reports
Power-law scaling, a central concept in critical phenomena, is found to be useful in deep learning, where optimized test errors on handwritten digit examples converge as a power-law to zero with database size. For rapid decision making with one train
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Scientific Reports
An optical sensor for magnetic field detection using Ni-subwavelength grating (SWG) on SiO2/Ag-thin-film/glass substrates was experimentally developed on the basis of the re-radiation condition of surface-plasmon-polaritons (SPPs) at Ag surfaces. The
Autor:
John R. Mackey, Muba Taher, Parsin Haji Reza, Frank van Landeghem, Saad Abbasi, Deepak Dinakaran, Kevan Bell, Gilbert Bigras
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports
Scientific Reports
Histological visualizations are critical to clinical disease management and are fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive tissue preparation prior to imaging. These pro
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports
Scientific Reports
Miniaturization and integration of optical tweezers are attractive. Optical fiber-based trapping systems allow optical traps to be realized in miniature systems, but the optical traps in these systems lack reliability or mobility. Here, we present th
Autor:
Ahmad Zareie, Rizos Sakellariou
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports
Scientific Reports
Social network analysis has recently attracted lots of attention among researchers due to its wide applicability in capturing social interactions. Link prediction, related to the likelihood of having a link between two nodes of the network that are n
Autor:
Fereshteh Mataeimoghadam, Abdul Karim, M. A. Hakim Newton, Abdul Sattar, Abdollah Dehzangi, Bhyravabhotla Jayaram, Shoba Ranganathan
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
Scientific Reports
Protein structure prediction is a grand challenge. Prediction of protein structures via the representations using backbone dihedral angles has recently achieved significant progress along with the on-going surge of deep neural network (DNN) research