Results 91 to 100 of about 15,745 (298)
Mixed E-Learning Methods for Study the Modern Astronomy [PDF]
The paper presents some informal e-learning methods, adapted for teaching and learning the Observational and the Computational Astronomy and tested recently on groups of students from University of Craiova.
BOLDEA, Afrodita Liliana
core
MLody—Deep Learning–generated Polarized Synchrotron Coefficients
Polarized synchrotron emission is a fundamental process in high-energy astrophysics, particularly in the environments around black holes and pulsars. Accurate modeling of this emission requires precise computation of the emission, absorption, rotation ...
J. Davelaar
doaj +1 more source
Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang +6 more
wiley +1 more source
Multidata inverse problems and Bayesian solution methods in astronomy [PDF]
Statistical analyses of measurements that can be described by statistical models are of essence in astronomy and in scientific inquiry in general. The sensitivity of such analyses, modelling approaches, and the consequent predictions, is sometimes highly
Tuomi, Mikko
core
Designing chiral organic small molecules for circularly polarized light detection via group theory
The chiral point group determines the arrangement of the μ‐m of chiral organic small molecules, thereby influencing their chiral photoelectric properties. In particular, chiral molecules with the D2 point group can effectively align the μ‐m to be either 0° or 180°, an effective strategy for high‐performance circularly polarized light photodetectors ...
Zhenping Li +10 more
wiley +1 more source
Probing the star formation main sequence down to 107 M⊙ at 1 < z < 9
The main sequence of star-forming galaxies (SFGMS or MS) is a fundamental scaling relation that provides a global framework for studying galaxy formation and evolution, as well as an insight into the complex star formation histories (SFHs) of individual ...
Mérida Rosa M. +14 more
doaj +1 more source
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko +2 more
wiley +1 more source
The “Chimera”: An Off-The-Shelf CPU/GPGPU/FPGA Hybrid Computing Platform
The nature of modern astronomy means that a number of interesting problems exhibit a substantial computational bound and this situation is gradually worsening.
Ra Inta, David J. Bowman, Susan M. Scott
doaj +1 more source
Evolutionary Computation in Astronomy and Astrophysics: A Review
In general Evolutionary Computation (EC) includes a number of optimization methods inspired by biological mechanisms of evolution. The methods catalogued in this area use the Darwinian principles of life evolution to produce algorithms that returns high quality solutions to hard-to-solve optimization problems.
José A. García Gutiérrez +2 more
openaire +2 more sources
Optical Skyrmions with Tunable or Reconfigurable Topology Using Spin‐Decoupled Metaoptics
The work introduces advanced optical elements capable of generating and dynamically reconfiguring complex light patterns known as optical skyrmions. By precisely shaping light polarization at the nanoscale, a single engineered metasurface can generate and manipulate robust and tunable polarization textures in an efficient and scalable way.
Andrea Vogliardi +5 more
wiley +1 more source

