The FMOS-COSMOS Survey of Star-forming Galaxies at z ∼ 1.6. VI. Redshift and Emission-line Catalog and Basic Properties of Star-forming Galaxies [PDF]
, 2019 Daichi Kashino +14 more
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Evolution of Collective, Radiative Plasmon Coupling in Confined, Soft Colloidal Films
Advanced Optical Materials, EarlyView.Plasmon resonance coupling is continuously monitored during the uniaxial manipulation of a 2‐dimensional soft colloidal film containing hexagonally arranged spherical gold nanocrystals. This is realized by the in situ spectroscopic investigation of a monolayer of plasmonic core‐shell microgels confined at the air/water interface that is compressed in a
Déborah Feller +7 more
wiley +1 more source
Electromagnetic follow-up of gravitational waves: review and lessons learned. [PDF]
Philos Trans A Math Phys Eng SciNicholl M, Andreoni I.
europepmc +1 more source
Considering light-matter interactions in the Friedmann equations. [PDF]
Proc Math Phys Eng Sci, 2022 Vavryčuk V.
europepmc +1 more source
A complete galaxy redshift survey - V. Infrared luminosity functions for field galaxies [PDF]
, 1993 Bahram Mobasher +2 more
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From Single to Multi‐Glass/Ceramic Microarchitectures via Two‐Photon Lithography
Advanced Optical Materials, EarlyView.Two‐photon lithography enables precise oxide microarchitectures. A transition is made from single to multi‐glass/ceramic materials by integrating spatially varied compositions via fluidic photoresin exchange. Low‐temperature annealing and optical characterization (i.e., cathodoluminescence, fluorescence microscopy) reveal how post‐treatment affects the
Joel Arriaga‐Dávila +7 more
wiley +1 more source
Measurement of the Weyl potential evolution from the first three years of dark energy survey data. [PDF]
Nat CommunTutusaus I, Bonvin C, Grimm N.
europepmc +1 more source
A New Technique for Galaxy Photometric Redshifts in the Sloan Digital Sky Survey [PDF]
, 2008 James J. Wray +3 more
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Applications of QSPR and Machine Learning in Molecular Photonics
Advanced Optical Materials, EarlyView.Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source