**Office Location:** 091 Physics Bldg, Durham, NC 27708**Office Phone:** (919) 660-2559**Email Address:** palmer@phy.duke.edu**Web Page:** http://www.phy.duke.edu/~palmer/

**Specialties:**

Nonlinear dynamics and complex systems

Theoretical condensed matter physics

**Education:**

Theoretical Physics, Cambridge Univ, 1973

Ph.D., University of Cambridge (UK), 1973

**Research Categories:** *Theoretical Condensed Matter Physics*

**Research Description:** Professor Richard G. Palmer is currently working on theories of statistical mechanics. He is interested in the application and development of statistical physics methods for many types of complex systems, including glasses and spin glasses, neural networks, genetic algorithms, and economic markets. The long-term goal of his work is to establish firm theoretical foundations for understanding the emergence of structure, complexity, and computational ability in driven systems of interacting adaptive components. He is also author of two books on the theory of neural networks and on the theory of extinction.

**Recent Publications**
(More Publications)

- RG Palmer,
*Correction*, Physical Review Letters, vol. 54 no. 17 (January, 2013), pp. 1965-1965 [doi] . - GE Hansen and RG Palmer,
*Compact nuclear-power source critical experiments and analysis*, Nuclear Science And Engineering, vol. 103 no. 3 (January, 2013), pp. 237-246 . - RG Palmer,
*Application of coupled reactor theory to explain reactivity slumping effects in heterogeneous lmfbrs*, Transactions Of The American Nuclear Society, vol. 38 no. JUN (January, 2013), pp. 415-416 . - RG Palmer,
*Shielding optimization studies for a space reactor system*, Transactions Of The American Nuclear Society, vol. 39 (January, 2013), pp. 764-765 . - RG Palmer and HL Frisch,
*Low-dimension and high-dimension limits of a phase-separation model*, Journal Of Statistical Physics, vol. 38 no. 5-6 (January, 2013), pp. 867-872 .

**Highlight:**

Professor Richard G. Palmer is currently working on theories of statistical mechanics. He is interested in the application and development of statistical physics methods for many types of complex systems, including glasses and spin glasses, neural networks, genetic algorithms, and economic markets. The long-term goal of his work is to establish firm theoretical foundations for understanding the emergence of structure, complexity, and computational ability in driven systems of interacting adaptive components. He is also author of two books on the theory of neural networks and on the theory of extinction.