Diffusion in Ceramics

Atkinson, A.

doi:10.1002/9783527603978.mst0122

Cited by 2 publications

(3 citation statements)

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“…Tyto vznikající technologické firmy jsou základní myšlenkou pojmu "New Economy" (OECD, 2004), který je spojován s nárůstem high-tech a internetových technologií a inovací, které změnily (mění) způsob podnikání. Začínající firmystart-upy -přitahují obrovské množství investorů předtím, než začnou dosahovat zisku (Atkinson, 2006). Proto poptávka po službách oceňování start-upů je vysoká, protože samotní rizikoví investoři nebo fondy rizikového kapitálu vidí budoucnost v technologií a v nich příležitost zhodnotit peněžní prostředky.…”

Section: úVodunclassified

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Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Novák

2021

Ocenovani

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This article describes approaches and methods related to venture capital valuation namely, start-up valuation. New venture value concepts have emerged within venture transactions. The pre-money valuation shows the value of the start-up before new capital infusion, while the post-money valuation shows the value of the start-up including a new capital infusion. Approaches of venture capital valuation (VCV) are, in principle, coincident with approaches of public equity valuation. Four approaches of VCV can predict the start-up value in two directions of future expected earnings, the first directionpost-money value including a new capital infusion and the second directionpre-money value excluding capital investment/infusion. In the extreme scenario where a start-up without capital infusion ceases to exist because there are no venture capital providers, the expected profit will be zero, which means zero pre-money valuation. Ultimately, it is very difficult to determine whether the start-up value is before or after the new capital infusion and, thus, the start-up valuation becomes a matter of negotiation process between the founder and the venture investor as it depends on a new capital infusion, to what extent, it affects the enterprise value of a start-up or it has an impact on its future exit.

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Section: úVodunclassified

“…Post-money ocenění v prvním kole financování je 5.000 = (1 / 10 %) * 500.0003 Post-money ocenění v druhém kole financování je 2.000 = (1 / 15 %) * 300.000 4 podíl investora A ve výši 8,5 % = 10 % * (1 -15 %)5 podíl zakladatele ve výši 76,5 % = 90 % *(1 -15 %) …”

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Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Novák

2021

Ocenovani

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“…Historically, an important goal in the solid state ionics community has been to understand how diffusion proceeds at the atomistic level and thereby gain the ability to predict the macroscale ionic conductivity [5]. There are two ways of doing this.…”

Section: Introductionmentioning

confidence: 99%

Mesoscale understanding of ionic conduction in yttria stabilized zirconia: the nanoscale percolation network and its effect on O²⁻ ion movement

Jaipal¹,

Chatterjee²

2019

Modelling Simul. Mater. Sci. Eng.

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Yttria-stabilized zirconia (YSZ) is widely used as a fast oxygen ion conductor in solid oxide fuel cells. Over the years several studies have probed the effect of different cation arrangements on the O 2− ion hopping behavior at the atomistic scale. However, an analytical model that can predict the macroscopic ionic conductivity using both the atomic scale hopping behavior as well as the spatial arrangement of cations at the mesoscopic length scale is lacking. A novel mesoscale model is constructed as a step towards addressing this gap. First, using a kinetic Monte Carlo (KMC) model for YSZ we find evidence of a fast ion conducting percolation network being present. The tortuous network, which consists of connected regions spanning the material structure, mainly contributes to the ionic conduction as O 2− ion movement in other regions is relatively slow. The topology, composition and O 2− ion movement in the network are analyzed. Next, the shortest path lengths in the network are identified with the help of the Dijsktra algorithm. Finally, a diffusion model is developed that relates the atomic scale hopping rates and shortest path lengths (a mesoscale feature) to the macroscale ionic conductivity. Estimates for ionic conductivity from the diffusion model are in excellent agreement with the KMC model. Changes within the percolation network with increasing Y 2 O 3 content can describe the maximum observed in ionic conductivity.

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Diffusion in Ceramics

Cited by 2 publications

References 71 publications

Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Mesoscale understanding of ionic conduction in yttria stabilized zirconia: the nanoscale percolation network and its effect on O²⁻ ion movement

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Diffusion in Ceramics

Cited by 2 publications

References 71 publications

Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Start-up valuation: an overview of valuation approaches and the effect of a new capital infusion on an enterprise value of a start-up

Mesoscale understanding of ionic conduction in yttria stabilized zirconia: the nanoscale percolation network and its effect on O2− ion movement

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Mesoscale understanding of ionic conduction in yttria stabilized zirconia: the nanoscale percolation network and its effect on O²⁻ ion movement