Proceedings of the National Academy of Sciences

The Proceedings of the National Academy of Sciences of the United States of America, usually referred to as PNAS, is the official journal of the United States National Academy of Sciences (NAS). PNAS is an important scientific journal that printed its first issue in 1915 and continues to publish highly cited research reports, commentaries, reviews, perspectives, feature articles, profiles, letters to the editor, and actions of the Academy. Coverage in PNAS broadly spans the biological, physical, and social sciences. Although most of the papers published in the journal are in the biomedical sciences, PNAS recruits papers and publishes special features in the physical and social sciences and in mathematics. PNAS is published weekly in print, and daily online in PNAS Early Edition. PNAS was established by NAS in 1914, with its first issue published in 1915. The NAS itself had been founded in 1863 as a private institution, but chartered by the US Congress, with the goal to "investigate, examine, experiment, and report upon any subject of science or art." By 1914, the Academy was well established.

Publisher
United States National Academy of Sciences
Country
United States
History
1914 - present
Website
http://www.pnas.org/
Impact factor
9.681 (2011)
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Computer Sciences

This algorithm has opinions about your face

When two people meet, they instantly size each other up, making snap judgments about everything from the other person's age to their intelligence or trustworthiness based solely on the way they look. Those first impressions, ...

Energy & Green Tech

Biden's biofuel: Cheaper at the pump, but high environmental cost

In an effort to ease Americans' pain at the gas pump, President Joe Biden has announced his administration will ease restrictions on the sale of E15—gasoline that includes 15 percent ethanol—and new investments in biofuels ...

Robotics

Soft robotic origami crawlers

Materials scientists aim to develop biomimetic soft robotic crawlers including earthworm-like and inchworm-like crawlers to realize locomotion via in-plane and out-of-plane contractions for a variety of engineering applications. ...

Machine learning & AI

Mathematical paradoxes demonstrate the limits of AI

Humans are usually pretty good at recognizing when they get things wrong, but artificial intelligence systems are not. According to a new study, AI generally suffers from inherent limitations due to a century-old mathematical ...

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