Results 61 to 70 of about 147,878 (274)

Bias-Free Shear Estimation using Artificial Neural Networks

open access: yes, 2010
Bias due to imperfect shear calibration is the biggest obstacle when constraints on cosmological parameters are to be extracted from large area weak lensing surveys such as Pan-STARRS-3pi, DES or future satellite missions like Euclid. We demonstrate that
A. Riffeser   +7 more
core   +1 more source

Biased Dark Energy Constraints from Neglecting Reduced Shear in Weak Lensing Surveys [PDF]

open access: yes, 2008
The weak gravitational lensing of distant galaxies by large-scale structure is expected to become a powerful probe of dark energy. By measuring the ellipticities of large numbers of background galaxies, the subtle gravitational distortion called "cosmic ...
Shapiro, Charles
core   +2 more sources

Local Thermal Conductivity Patterning in Rotating Lattice Crystals of Anisotropic Sb2S3

open access: yesAdvanced Functional Materials, EarlyView.
Microscale control of thermal conductivity in Sb2S3 is demonstrated via laser‐induced rotating lattice crystals. Thermal conductivity imaging reveals marked thermal transport anisotropy, with the c axis featuring amorphous‐like transport, whereas in‐plane directions (a, b) exhibit 3.5x and 1.7x larger thermal conductivity.
Eleonora Isotta   +13 more
wiley   +1 more source

Phonon-phason coupling in icosahedral quasicrystals [PDF]

open access: yes, 1998
From relaxation simulations of decoration-based quasicrystal structure models using microscopically based interatomic pair potentials, we have calculated the (usually neglected) phonon-phason coupling constant.
  +21 more
core   +1 more source

Roll‐to‐Roll Mechanical Exfoliation for Large‐Area van der Waals Films with Preserved Crystallographic Alignment

open access: yesAdvanced Functional Materials, EarlyView.
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo   +14 more
wiley   +1 more source

Buckling and free vibration analysis of orthotropic plates by using exponential shear deformation theory

open access: yesLatin American Journal of Solids and Structures
In the present paper, an exponential shear deformation theory is used to determine the natural frequencies and critical buckling loads of orthotropic plates.
A. S. Sayyad, Y. M. Ghugal
doaj   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

The Commonality of Earthquake and Wind Analysis [PDF]

open access: yes, 1980
Earthquakes and wind loadings constitute dynamic effects that often must be considered in the design of buildings and structures. The primary purpose of this research study was to investigate the common features of general dynamic analysis procedures ...
Cevallos-Candau, P.J., Hall, W.J.
core  

Magnetic phase transitions in Gd64Sc36 studied using non-contact ultrasonics [PDF]

open access: yes, 2012
The speed and attenuation of ultrasound propagation can be used to determine material properties and identify phase transitions. Standard ultrasonic contact techniques are not always convenient due to the necessity of using couplant; however, recently ...
Andrianov A B   +17 more
core   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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