scholarly journals Corrigendum to: Biology and conservation of the unique and diverse halophilic macroinvertebrates of Australian salt lakes

2021 ◽  
Vol 72 (11) ◽  
pp. 1695
Author(s):  
Angus D'Arcy Lawrie ◽  
Jennifer Chaplin ◽  
Adrian Pinder
Keyword(s):  
Salt Lakes ◽  
Extreme Conditions ◽  
Secondary Salinisation

This study synthesises information on the biology of the unique and diverse halophilic macroinvertebrates of Australian salt lakes, focusing on gastropods and crustaceans. This information is needed to evaluate and manage the threats posed to these invertebrates by increased periods of drought and secondary salinisation. Most of these species are endemic to Australian salt lakes, and some have adapted to extreme conditions (e.g. salinities >100gL–1 and pH

38. The Attenuation of Hearing Protectors in Extreme Conditions

2002 ◽  
Author(s):  
E. Toppila ◽  
J. Starck ◽  
I. Pyykkö
Keyword(s):  
Extreme Conditions ◽  
Hearing Protectors

Development of the ChIMES Force Field for Reactive Molecular Systems: Carbon Monoxide at Extreme Conditions

2019 ◽  
Author(s):  
Rebecca Lindsey ◽  
Nir Goldman ◽  
Laurence E. Fried ◽  
Sorin Bastea
Keyword(s):  
Carbon Monoxide ◽  
Molecular System ◽  
Interaction Model ◽  
System Size ◽  
Single Atom ◽  
Reactive System ◽  
Extreme Conditions ◽  
Ambient Conditions ◽  
Molecular Systems ◽  
Three Body

<p>The interatomic Chebyshev Interaction Model for Efficient Simulation (ChIMES) is based on linear combinations of Chebyshev polynomials describing explicit two- and three-body interactions. Recently, the ChIMES model has been developed and applied to a molten metallic system of a single atom type (carbon), as well as a non-reactive molecular system of two atom types at ambient conditions (water). Here, we continue application of ChIMES to increasingly complex problems through extension to a reactive system. Specifically, we develop a ChIMES model for carbon monoxide under extreme conditions, with built-in transferability to nearby state points. We demonstrate that the resulting model recovers much of the accuracy of DFT while exhibiting a 10<sup>4</sup>increase in efficiency, linear system size scalability and the ability to overcome the significant system size effects exhibited by DFT.</p>

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