Department Homepage
The College of Arts & Sciences
Physicist Charles Kane will explain how mysterious features of quantum mechanics can be harnessed for future technologies on Oct. 19, 7:30 p.m.
/news/2022-bethe-lectures-harnessing-quantum-matter-future-technologies
Electronic “brains” on solar-powered robots that are smaller than an ant’s head allow them to walk by themselves.
/news/brains-board-smart-microrobots-walk-autonomously
Gottfried was also the author of a classic text on quantum mechanics and numerous scholarly articles on missile defense, space weapons, nuclear weapons and cooperative security.
/news/eminent-physicist-kurt-gottfried-co-founder-union-concerned-scientists-dies-93
The award allows the center to continue its work developing advanced fuel cell technologies in alkaline media.
/news/energy-center-receives-126-million-renewed-funding
Klarman Fellows pursue research in any discipline in the College, including natural sciences, social sciences, humanities and the creative arts as well as cross-disciplinary fields. The application deadline is October 14.
/news/opens-application-portal-klarman-postdoc-fellowships
An article from Physics World remembered Cornell Physics alum, Helen Edwards, for her many contributions to the field of particle physics.
/news/physics-alum-helen-edwards-acknowledged-contributions-particle-physics
Professors in physics and classics contributed to the Warrior-Scholar Project (WSP) hosted at Cornell for military veterans July 23 to Aug. 6.
/news/academic-boot-camp-boosts-veterans-higher-ed-mission
The grant from the National Science Foundation will support a team of Cornell physicists who smash matter into its component parts to learn about elementary particles and their interactions.
/news/38m-nsf-grant-begins-new-era-early-universe-research
A doctoral candidate in physics from Guangdong, China, Yongjian Tang is a recipient of a 2022 Wu Scholarship.
/news/student-spotlight-yongjian-tang
Prof. Eun-Ah Kim's research, using a machine learning technique developed with Cornell computer scientists, sets the stage for insights into new phases of matter.
/news/harnessing-machine-learning-analyze-quantum-material