scholarly journals Advancements in sensor technology with innovative and significant research publications: how to write that perfect paper?

Author(s):  
Antje J. Baeumner ◽  
Hua Cui ◽  
Günter Gauglitz ◽  
Maria C. Moreno-Bondi ◽  
Sabine Szunerits ◽  
...  
2019 ◽  
Vol 487 (1) ◽  
pp. 1-6
Author(s):  
Clare E. Bond ◽  
Hermann D. Lebit

AbstractJohn G. Ramsay's book Folding and Fracturing of Rocks was first published in 1967. It set the research agenda for, and the approaches to, modern structural geology. It is recognized as one of the most influential texts in the subject area and was underpinned by significant research publications by the author; its weight added to by later texts and articles. John was also an enthusiastic teacher of structural geology, and many of his tutees have gone on to forge their own careers in structural geology, inspired to do so by John, his teaching and approaches. This Special Publication serves as a golden 50 year celebration of the book, and also of John's life-long work and career as an innovative scientist, inspiring mentor, excellent teacher, and great field structural geologist.


2012 ◽  
Vol 2 (8) ◽  
pp. 222-224
Author(s):  
K Sivasekaran K Sivasekaran ◽  
◽  
S Srinivasaragavan S Srinivasaragavan

1988 ◽  
Vol 74 (3) ◽  
pp. 435-440
Author(s):  
Kazuhiro Sylvester GOTO
Keyword(s):  

2018 ◽  
Author(s):  
Kyle Hall ◽  
Zhengcai Zhang ◽  
Christian Burnham ◽  
Guang-Jun Guo ◽  
Sheelagh Carpendale ◽  
...  

<p>The broad scientific and technological importance of crystallization has led to significant research probing and rationalizing crystallization processes, particularly how nascent</p> <p>crystal phases appear. Previous work has generally neglected the possibility of the molecular-level dynamics of individual nuclei coupling to local structures (e.g., that of the nucleus and its</p> <p>surrounding environment). However, recent experimental work has conjectured that this can occur. Therefore, to address a deficiency in scientific understanding of crystallization, we have</p> <p>probed the nucleation of prototypical single and multi-component crystals (specifically, ice and mixed gas hydrates). Here, we establish that local structures can bias the evolution of nascent</p> <p>crystal phases on a nanosecond timescale by, for example, promoting the appearance or disappearance of specific crystal motifs, and thus reveal a new facet of crystallization behaviour.</p> <p>Analysis of the crystallization literature confirms that structural biases are likely present during crystallization processes beyond ice and gas hydrate formation. Moreover, we demonstrate that</p> <p>structurally-biased dynamics are a lens for understanding existing computational and experimental results while pointing to future opportunities.</p>


2018 ◽  
Author(s):  
Kyle Hall ◽  
Zhengcai Zhang ◽  
Christian Burnham ◽  
Guang-Jun Guo ◽  
Sheelagh Carpendale ◽  
...  

<p>The broad scientific and technological importance of crystallization has led to significant research probing and rationalizing crystallization processes, particularly how nascent</p> <p>crystal phases appear. Previous work has generally neglected the possibility of the molecular-level dynamics of individual nuclei coupling to local structures (e.g., that of the nucleus and its</p> <p>surrounding environment). However, recent experimental work has conjectured that this can occur. Therefore, to address a deficiency in scientific understanding of crystallization, we have</p> <p>probed the nucleation of prototypical single and multi-component crystals (specifically, ice and mixed gas hydrates). Here, we establish that local structures can bias the evolution of nascent</p> <p>crystal phases on a nanosecond timescale by, for example, promoting the appearance or disappearance of specific crystal motifs, and thus reveal a new facet of crystallization behaviour.</p> <p>Analysis of the crystallization literature confirms that structural biases are likely present during crystallization processes beyond ice and gas hydrate formation. Moreover, we demonstrate that</p> <p>structurally-biased dynamics are a lens for understanding existing computational and experimental results while pointing to future opportunities.</p>


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