scholarly journals The Surface-Vacancy Model—A General Theory of the Dissolution of Minerals and Salts

Minerals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 521
Author(s):  
Frank K. Crundwell

The kinetics of the dissolution of salts and minerals remains a field of active research because these reactions are important to many fields, such as geochemistry, extractive metallurgy, corrosion, biomaterials, dentistry, and dietary uptake. A novel model, referred to as the surface-vacancy model, has been proposed by the author as a general mechanism for the primary events in dissolution. This paper expands on the underlying physical model while serving as an update on current progress with the application of the model. This underlying physical model envisages that cations and anions depart separately from the surface leaving a surface vacancy of charge opposite to that of the departing ion on the surface. This results in an excess surface charge, which in turn affects the rate of departing ions. Thus, a feedback mechanism is established in which the departing of ions creates excess surface charge, and this net surface charge, in turn, affects the rate of departure. This model accounts for the orders of reaction, the equilibrium conditions, the acceleration or deceleration of rate in the initial phase and the surface charge. The surface-vacancy model can also account for the effect of impurities in the solution, while it predicts phenomena, such as ‘partial equilibrium’, that are not contemplated by other models. The underlying physical model can be independently verified, for example, by measurements of the surface charge. This underlying physical model has implications for fields beyond dissolution studies.

2020 ◽  
Author(s):  
Haruyuki Nomura ◽  
Noriaki Nakayamada ◽  
Takehiko Katsumata ◽  
Rumi Ito ◽  
Yoshinori Kojima

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Zan Hua ◽  
Joseph R. Jones ◽  
Marjolaine Thomas ◽  
Maria C. Arno ◽  
Anton Souslov ◽  
...  

AbstractUnderstanding and controlling self-assembly processes at multiple length scales is vital if we are to design and create advanced materials. In particular, our ability to organise matter on the nanoscale has advanced considerably, but still lags far behind our skill in manipulating individual molecules. New tools allowing controlled nanoscale assembly are sorely needed, as well as the physical understanding of how they work. Here, we report such a method for the production of highly anisotropic nanoparticles with controlled dimensions based on a morphological transformation process (MORPH, for short) driven by the formation of supramolecular bonds. We present a minimal physical model for MORPH that suggests a general mechanism which is potentially applicable to a large number of polymer/nanoparticle systems. We envision MORPH becoming a valuable tool for controlling nanoscale self-assembly, and for the production of functional nanostructures for diverse applications.


2021 ◽  
Author(s):  
Yabin Gou ◽  
Haonan Chen

<p>It is well known that the performance of radar-derived quantitative precipitation estimates greatly relies on the physical model of the raindrop size distribution (DSD) and the relation between the physical model and radar parameters. However, incorporating changing precipitation microphysics to dynamically adjust the radar reflectivity (Z) and rain rate (R) relations can be challenging for real-time applications. In this study, two adaptive radar rainfall approaches are developed based on the radar-gauge feedback mechanism using 16 S-band Doppler weather radars and 4579 surface rain gauges deployed over the Eastern JiangHuai River Basin (EJRB) in China. Although the Z–R relations in both approaches are dynamically adjusted within a single precipitation system, one is using a single global optimal (SGO) Z–R relation, whereas the other is using different Z–R relations for different storm cells identified by a storm cell identification and tracking (SCIT) algorithm. Four precipitation events featured by different rainfall microphysical characteristics are investigated to demonstrate the performances of these two rainfall mapping methodologies. In addition, the short-term vertical profile of reflectivity (VPR) clusters are extensively analyzed to resolve the storm-scale characteristics of different storm cells. The verification results based on independent gauge observations show that both rainfall estimation approaches with dynamic Z–R relations perform much better than fixed Z–R relations. The adaptive approach incorporating the SCIT algorithm and real-time gauge measurements performs best since it can better capture the spatial variability and temporal evolution of precipitation.</p>


Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7078
Author(s):  
Linhan Du ◽  
Xiaoyu Hu ◽  
Diannan Lu ◽  
Zheng Liu

Ionic transport and ion sieving are important in the field of separation science and engineering. Based on the rapid development of nanomaterials and nano-devices, more and more phenomena occur on the nanoscale devices in the field of thermology, optics, mechanics, etc. Recently, we experimentally observed a novel ion transport phenomenon in nanostructured graphene oxide membrane (GOM) under asymmetric illumination. We first build a light-induced carriers’ diffusion model based on our previous experimental results. This model can reveal the light-induced ion transport mechanism and predict the carriers’ diffusion behavior under different operational situations and material characters. The voltage difference increases with the rise of illuminate asymmetry, photoresponsivity, recombination coefficient, and carriers’ diffusion coefficient ratio. Finally, we discuss the ion transport behavior with different surface charge densities using MD simulation. Moderate surface charge decreases the ion transport with the same type of charge due to the electrostatic repulsion; however, excess surface charge blocks both cation and anion because a thicker electrical double layer decreases effective channel height. Research here provides referenced operational and material conditions to obtain a greater voltage difference between the membrane sides. Also, the mechanism of ion transport and ion sieving can guide us to modify membrane material according to different aims.


Langmuir ◽  
2014 ◽  
Vol 30 (10) ◽  
pp. 2632-2638 ◽  
Author(s):  
Yuwen Shen ◽  
Zhong-can Ou-Yang ◽  
Yufeng Zhang ◽  
Jingcheng Hao ◽  
Zhaohui Liu

Author(s):  
Haruyuki Nomura ◽  
Noriaki Nakayamada ◽  
Hayato Kimura ◽  
Keisuke Yamaguchi ◽  
Takanao Touya ◽  
...  

1998 ◽  
Vol 1 (2) ◽  
pp. 96-97 ◽  
Author(s):  
ROBERT SCHREUDER ◽  
DAAN HERMANS

A surprisingly large part of the population of the world is at least bilingual. The question as to how people are able to control their language system is an important one and has been a topic for highly active research in recent years. Until now, models have been quite simplistic, but Green places his model in a wider framework of attention and control, drawing our attention to the fact that the mechanisms involved in language control share basic properties with the systems in other cognitive domains. Green introduces the (not language-specific) supervisory attentional system in combination with language task schemas which make it possible to adapt to the situation in which the bilingual system is functioning. Models of bilingual processing should be able to explain how lexical processing is affected by, among others, task demands (see also Dijkstra, van Jaarsveld, and ten Brinke, 1998). By adding a general mechanism of attentional control that is independently motivated by general cognitive mechanisms, Green has enriched his previous model considerably. In what follows we will first make some general remarks about the model Green proposes. In the second part we will discuss some recent results from our group that nicely tie in with some of the basic properties of the model outlined by Green.


2018 ◽  
Vol 232 ◽  
pp. 04032
Author(s):  
Siqing Wang ◽  
Yongjun Qiao

In order to solve the problem of CGF formation avoiding obstacles, avoiding collisions and reach the target point in the simulated battlefield environment, combined with the behaviour-based method, the following algorithm will be improved to control the CGF formation. In this paper, the motion of CGF formation is decomposed into moving to target, maintaining formation, avoiding obstacles, restoring formation, reaching target, and a linear feedback mechanism based on the relative position of leader and follower is introduced to prevent the occurrence of the team. The tangent obstacle avoidance algorithm evades obstacles. The simulation experiment applies the upper-layer behavioural reasoning to guide the structure of the underlying physical model, and the SOAR agent makes the choice of the state of the environment and the behaviour, and the underlying physical model implements the behaviour. The results show that the strategy can keep the CGF formation in the desired formation, avoid internal collisions while avoiding obstacles, and quickly restore the formation after reaching obstacles, reach the target location and achieve good results.


Author(s):  
N.J. Tao ◽  
J.A. DeRose ◽  
P.I. Oden ◽  
S.M. Lindsay

Clemmer and Beebe have pointed out that surface structures on graphite substrates can be misinterpreted as biopolymer images in STM experiments. We have been using electrochemical methods to react DNA fragments onto gold electrodes for STM and AFM imaging. The adsorbates produced in this way are only homogeneous in special circumstances. Searching an inhomogeneous substrate for ‘desired’ images limits the value of the data. Here, we report on a reversible method for imaging adsorbates. The molecules can be lifted onto and off the substrate during imaging. This leaves no doubt about the validity or statistical significance of the images. Furthermore, environmental effects (such as changes in electrolyte or surface charge) can be investigated easily.


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