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Michael Deem's Research Group

Theoretical methods of statistical mechanics are developed and applied at Rice to study the collective properties of biological systems. Both computational and analytical methods are of interest. Natural systems from our world and engineered systems from biotechnology offer a wide variety of phenomena for study. New field-theoretic techniques, new computer simulation methods, and new random energy models have resulted. Current areas of interest include. Newton's laws of biology. Homepage for ZEFSA II.

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Michael Deem's Research Group | king.rice.edu Reviews

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Theoretical methods of statistical mechanics are developed and applied at Rice to study the collective properties of biological systems. Both computational and analytical methods are of interest. Natural systems from our world and engineered systems from biotechnology offer a wide variety of phenomena for study. New field-theoretic techniques, new computer simulation methods, and new random energy models have resulted. Current areas of interest include. Newton's laws of biology. Homepage for ZEFSA II.

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Michael Deem's Research Group | king.rice.edu Reviews

https://king.rice.edu

Theoretical methods of statistical mechanics are developed and applied at Rice to study the collective properties of biological systems. Both computational and analytical methods are of interest. Natural systems from our world and engineered systems from biotechnology offer a wide variety of phenomena for study. New field-theoretic techniques, new computer simulation methods, and new random energy models have resulted. Current areas of interest include. Newton's laws of biology. Homepage for ZEFSA II.

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king.rice.edu

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Michael Deem's Research

http://king.rice.edu/mwdeem

MICHAEL W. DEEM. John W. Cox Professor. 6100 Main Street - MS 142. Houston, TX 77005-1892. 713) 348-5811 (confidential fax). BS, California Institute of Technology (1991). PhD, University of California at Berkeley (1994). Postdoctoral Fellow, Harvard University (1995-1996). Awards, Honors, and Positions. November 1999) ( Profile. Alfred P. Sloan Research Fellow. 2000); Camille Dreyfus Teacher-Scholar Award. 2002); John W. Cox Professor, Rice University (2002-); Allan P. Colburn Award. 2009); BMES Represe...

2

ZEFSA II: Zeolite framework solution

http://king.rice.edu/zefsaII

ZEFSA is a software package capable of solving framework structures. It is freely distributed under the GNU Public License. Copying, using, and restrictions. Structures solved with the method. Deem Research Group Home Page.

3

Multicanonical MD by a variable-temperature thermostat and variable-pressure barostat

http://king.rice.edu/tbstat

Multicanonical MD by a variable-temperature thermostat or variable-pressure barostat. The code is an enhanced sampling method for a flat-energy-distribution, or a flat-density-distribution, molecular dynamics simulation. It is freely distributed under the Lesser GNU Public License. Source code and usage. As the sampling weight. We here pursue the construction of multicanonical MD by using a variable temperature equal to β. Log Ω( E. We describe several thermostats to set this temperature. The method ...

4

Pepitope Calculator

http://king.rice.edu/pepitope

Calculator is an Excel file that can be used to calculate a specific measure of antigenic distance between two strains of influenza. It is freely distributed under the GNU General Public License. Is a variable that measures the antigenic distance between two influenza strains. P. Shows a better correlation with known vaccine efficacy data than do the variables that are currently being used by the CDC and the WHO. These include ferret assays (P. Described below) and illustrated how this P. Is as follows&#...

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king.rice.edu

Michael Deem's Research Group

Theoretical methods of statistical mechanics are developed and applied at Rice to study the collective properties of biological systems. Both computational and analytical methods are of interest. Natural systems from our world and engineered systems from biotechnology offer a wide variety of phenomena for study. New field-theoretic techniques, new computer simulation methods, and new random energy models have resulted. Current areas of interest include. Newton's laws of biology. Homepage for ZEFSA II.

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