For the first time, explore John Singer Sargent's fascination with Spain as seen in stunning landscapes, architectural views, figure studies, and scenes of everyday life American artist John Singer Sargent (1856-1925) experienced Spain, including the picturesque island of Majorca, as a source of rejuvenation and inspiration. Sargent and Spain features scores of the artist's dazzling watercolors, oil paintings, and drawings, from landscapes and seascapes to architectural studies, scenes of everyday life, and sympathetic portraits of the Roma and other local people he encountered. Immersing himself in the country's rich culture, he studied Spanish masters old and new, lavishing particular attention on works by Diego Velazquez in the Prado. He rendered the distinctive architecture of the Alhambra as well as other palaces and churches, and he captured lively scenes of ports and villages. Intrigued by Spanish dance and music, Sargent created dynamic views of flamenco and the famous dancer La Carmencita. A map and an illustrated chronology document the artist's seven trips to and travels through Spain. This handsome book showcases, for the first time, Sargent's captivation with Spain and the remarkable works of art now associated with it. Published in association with the National Gallery of Art, Washington Exhibition Schedule: National Gallery of Art, Washington (October 2, 2022-January 2, 2023) Fine Arts Museums of San Francisco, Legion of Honor (February 11-May 14, 2023)

This book presents current research in the field of space science. Topics discussed in this compilation include supernovae as probes for dark energy; structure and transport of the Martian surface material; the study for black hole in m-theory; origin of the Saturn rings; space science applications of aerogels; dynamics and disruption mechanisms of asteroids; primordial black holes, formation and evolution; black holes in higher order curvature gravity; scalar potential model of galaxies; the dark energy scale in superconductors and constraints on dark energy and dark matter from supernovae and gamma ray burst data.