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Peter Salamon | |
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| Alma mater | University of Chicago |
| Scientific career | |
| Fields | Mathematics, Chemistry, Physics |
| Institutions | San Diego State University |
| Thesis | The Thermodynamic Legendre Transform or How to Observe the Inside of a Black Box (1978) |
| Website | https://salamon.sdsu.edu/ |
Peter Salamon is an American mathematician and emeritus professor at the Department of Mathematics and Statistics at San Diego State University. [1] [2]
Salamon emigrated with his family from Hungary to the United States at the age of ten. He grew up in Chicago and attended the University of Chicago, where he obtained a PhD in chemistry in the research group of R. Stephen Berry. [3]
Previously, in 1971, he earned a B.A. in mathematics from Lindenwood College and an M.S. in mathematics from Drexel University in 1972. [4]
In 1984, Salamon co-founded the Telluride Science and Innovation Centre, together with R. Stephen Berry. Salamon served as Telluride Science's first chairman of the board and president from 1984 through 1987. [3]
Salamon has been affiliated with San Diego State University since 1980. He has also held visiting positions at Tel Aviv University, the University of Copenhagen, the University of Heidelberg, the Hebrew University and a few other institutions. [3]
Salamon has published mathematical articles related to biomathematics, thermodynamics in finite time, geometrical thermodynamics, optimization and mathematical modeling. [5] He has an Erdős number of one and is also known for founding and doing work on Finite Time Thermodynamics.
Most of Salamon's work deal with optimal control of thermodynamic processes in finite time. [6] [7]
The primary tool for studying such optimal control has been the Riemannian geometric structure of thermodynamic theory, which uses the second derivative of the thermodynamic potential as a Riemannian metric. This, in turn, led to the use of constant thermodynamic speed control for minimizing entropy production in physical, chemical, and computational processes. [8]
Important among such controls has been the optimal design of diabatic distillation columns, which have the potential to severely reduce the energy consumption of refining technologies. [9]
Constant thermodynamic speed control has also proved effective for global optimization algorithms in simulated annealing. More recently, a number of authors have put constant thermodynamic speed controls to use in quantum mechanical heat engines. [10]
Salamon, along with other authors presented the first metagenomic analyses of an uncultured viral community from 200 gallons of seawater using partial shotgun sequencing. This work created a tool for analyzing microbiomes and highlighted the role of viruses in microbial ecology. [11] [12]
A research team at the San Diego State University [13] including Salamon, identified a previously unknown immune system that revolutionizes our understanding of microbial ecology and could revolutionize treatments for various diseases. This immune system involves bacteriophages; viruses that infect bacteria. The study focuses on the mucus layers found in all humans and animals. By analyzing the mucus from sea anemones to mice and humans, the team discovered that bacteriophages consistently attach to the mucus layer, revealing this new form of immune defense. [14]
In 1990, Salamon introduced the idea of using ensembles of neural networks. This created a general tool to boost the performance of essentially all machine learning applications. [15]