APS Fellowship

Nominate a Fellow

Nominations may be made at any time during the year, but only those received by the GSNP deadline, posted on this page, will be considered for action in the same year. Nominations are submitted online.

Nominations on which no favorable action is taken are generally reconsidered the following year. Sponsors may, however, resubmit the nomination with updated supporting material prior to the deadline for the following year.

Each year, the GSNP Fellowship Committee will review nominations for APS Fellows and make recommendations to the APS. The total number of APS Fellows who may be elected in a given year is limited to one-half of one percent of the total APS membership. Therefore, the selection process is quite competitive, and sponsors should be aware of this when preparing nominations.

Nominators must ensure that the case they prepare for the Fellowship Committee is well documented, following the guidelines and requirements. In general, the Fellowship Committee looks for sustained contributions to the field over a period of time rather than a single, albeit brilliant, piece of research. Supporting letters which provide specific details about the candidate’s work, its impact, and the breadth of her/his contributions are particularly useful.

Gray arrow GSNP Deadline for APS Fellowship Nomination: Monday, June 1, 2020
Gray arrow APS Fellowship Information

APS Fellows Nominated by GSNP  

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Crooks, Gavin E. [2019]
X, the moonshot factory
Citation: For the discovery of the Crooks Fluctuation Theorem linking nanoscale fluctuations far from equilibrium to thermodynamics.


Fenton, Flavio H [2019]
Georgia Institute of Technology
Citation: For ground-breaking contributions to the nonlinear dynamics of cardiac arrhythmia.


Mendes, José Fernando F [2019]
University of Aveiro
Citation: For important advances in complex network science including preferential attachment, node aging, and modification of network links.


Sethna, James Patarasp [2019]
Cornell University
Citation: For seminal and wide-ranging contributions to information geometry, “sloppy models,” crackling noise, fracture, and emergent self-similarity.