Experimental Validation of the Statistical Thermodynamic Model for Prediction of the Behavior of Autonomous Molecular Computers Based on DNA Hairpin Formation

2006 ◽  
pp. 428-438 ◽  
Author(s):  
Ken Komiya ◽  
Satsuki Yaegashi ◽  
Masami Hagiya ◽  
Akira Suyama ◽  
John A. Rose
Keyword(s):  
Thermodynamic Model ◽  
Experimental Validation ◽  
Statistical Thermodynamic ◽  
Dna Hairpin ◽  
Molecular Computers ◽  
Hairpin Formation

Statistical Thermodynamic Model for Si/Al Ordering in Amorphous Aluminosilicates

2005 ◽  
Vol 17 (11) ◽  
pp. 2976-2986 ◽  
Author(s):  
John L. Provis ◽  
Peter Duxson ◽  
Grant C. Lukey ◽  
Jannie S. J. van Deventer
Keyword(s):  
Thermodynamic Model ◽  
Statistical Thermodynamic

scholarly journals Statistical Thermodynamic Model of Gas Adsorption in a Metal-Organic Framework Harboring a Rotaxane Molecular Shuttle

2019 ◽  
Author(s):  
Jonathan Carney ◽  
David Roundy ◽  
Cory M. Simon
Keyword(s):  
Thermodynamic Model ◽  
Gas Adsorption ◽  
Metal Organic Framework ◽  
Adsorption Properties ◽  
Statistical Thermodynamic ◽  
Temperature Sensitive ◽  
Adsorption Sites ◽  
Metal Organic ◽  
Dynamic Components ◽  
Molecular Shuttle

Metal-organic frameworks (MOFs) are modular and adjustable nano-porous materials with applications in gas storage, separations, and sensing. Flexible/dynamic components that respond to adsorbed gas can give MOFs unique or enhanced adsorption properties. Here, we explore the adsorption properties that could be imparted to a MOF by a rotaxane molecular shuttle (RMS) in its pores. In an RMS-MOF, a macrocyclic wheel is mechanically interlocked with a strut. The wheel shuttles between stations on the strut that are also gas adsorption sites. We pose and analyze a simple statistical thermodynamic model of gas adsorption in an RMS-MOF that accounts for (i) wheel/gas competition for sites on the strut and (ii) the entropy endowed by the shuttling wheel. We determine how the amount of gas adsorbed, position of the wheel, and energy change upon adsorption depend on temperature, pressure, and the interactions of the gas/wheel with the stations. Our model reveals that, compared to an ordinary Langmuir material, the chemistry of the RMS-MOF can be tuned to render adsorption more or less temperature-sensitive and release more or less heat upon adsorption. The model also uncovers a non-monotonic relationship between temperature and the position of the wheel if gas out-competes the wheel for its preferable station.

A Statistical Thermodynamic Model for Cross-Bridge Mediated Condensation of Vesicles†

1998 ◽  
Vol 102 (47) ◽  
pp. 9586-9592 ◽  
Author(s):  
Itzhak Farbman-Yogev ◽  
Yardena Bohbot-Raviv ◽  
Avinoam Ben-Shaul
Keyword(s):  
Thermodynamic Model ◽  
Statistical Thermodynamic ◽  
Cross Bridge

A new model linking elastic properties and ionic conductivity of mixed network former glasses

2018 ◽  
Vol 20 (3) ◽  
pp. 1629-1641 ◽  
Author(s):  
Weimin Wang ◽  
Randilynn Christensen ◽  
Brittany Curtis ◽  
Steve W. Martin ◽  
John Kieffer
Keyword(s):  
Light Scattering ◽  
Ionic Conductivity ◽  
Impedance Spectroscopy ◽  
Elastic Properties ◽  
Thermodynamic Model ◽  
Elastic Moduli ◽  
Statistical Thermodynamic ◽  
Systematic Comparison ◽  
New Model ◽  
Mixed Network

A new statistical thermodynamic model has been developed to describe the activated process of cation hopping in mixed network former glasses based on the systematic comparison between the adiabatic elastic moduli measured using Brillouin light scattering and the ionic conductivity measured using dielectric impedance spectroscopy.

Sign in / Sign up

Export Citation Format

Share Document