Christopher W. Lynn, Ari E. Kahn, and Danielle S. Bassett. Network effects on human learning arise from errors in temporal resolution. In Preparation.


Christopher W. Lynn, Lia Papadopoulos, Daniel D. Lee, and Danielle S. Bassett. Surges of collective human activity emerge from simple pairwise correlations. In Press. (


Christopher W. Lynn and Daniel D. Lee. Maximizing Activity in Ising Networks via the TAP Approximation. Association for the Advancement of Artificial Intelligence (AAAI). 2018. (

Christopher W. Lynn and Daniel D. Lee. Statistical Mechanics of Influence Maximization with Thermal Noise. EPL (Europhysics Letters) 117.6: 66001. 2017.

Christopher W. Lynn and Daniel D. Lee. Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. Advances in Neural Information Processing Systems (NIPS). 2016. (

Tanaji Sen and Christopher LynnSpectral Brilliance of Channeling Radiation at the ASTA Photoinjector. Journal of Modern Physics A 29.30: 1450179. 2014.

Ben Blomberg, Daniel Mihalcea, Harsha Panuganti, Philippe Piot, Charles Brau, Bo Choi, William Gabella, Borislav Ivanov, Marcus Mendenhall, Christopher Lynn, Tanaji Sen, Wolfgang Wagner. Planned High-brightness Channeling Radiation Experiment at Fermilab’s Advanced Superconducting Test Accelerator. International Particle Accelerator Conference (IPAC). 2014.


Skip to toolbar