Effects of Disorder State and Interfacial Layer on Thermal Transport in Copper/Diamond System

The characterization of Cu/diamond interface thermal conductance (hc) along with an improved understanding of factors affecting it are becoming increasingly important, as Cu-diamond composites are being considered for electronic packaging applications. In this study, ∼90 nm thick Cu layers weredeposited on synthetic and natural single crystal diamond substrates. In several specimens, a Ti-interface layer of thickness ≤3.5 nm was sputtered between the diamond substrate and the Cu top layer. The hc across Cu/diamond interfaces for specimens with and without a Ti-interface layer was determined usingtime-domain thermoreflectance. The hc is ∼2× higher for similar interfacial layers on synthetic versus natural diamond substrate. The nitrogen concentration of synthetic diamond substrate is four orders of magnitude lower than natural diamond. The difference in nitrogen concentration can lead to variations in disorder state, with a higher nitrogen content resulting in a higher level of disorder. This difference in disorder state potentially can explain the variations in hc. Furthermore, hc was observed to increase with an increase of Ti-interface layer thickness. This was attributed to an increased adhesion of Cu top layer with increasing Ti-interface layer thickness, as observed qualitatively in the current study

Limited Thermal Conductance of Metal-Carbon Interfaces

The thermal conductance for a series of metal-graphite interfaces has been experimentally measured with time-domain thermoreflectance (TDTR). For metals with Debye temperatures up to ∼400 K, a linear relationship exists with the thermal conductance values. For metals with Debye temperatures in excess of ∼400 K, the measured metal-graphite thermal conductance values remain constant near 60 MW m−2 K−1. Titanium showed slightly higher conductance than aluminum, despite the closeness of atomic mass and Debye temperature for the two metals. Surface analysis was used to identify the presence of titaniumcarbide at the interface in contrast to the aluminum and gold-carbon interfaces (with no detectablecarbide phases). It was also observed that air-cleaved graphite surfaces in contact with metals yielded slightly higher thermal conductance than graphite surfaces cleaved in vacuo. Examination of samples with scanning electron microscopy revealed that the lack of absorbed molecules on the graphite surfaceresulted in differences in transducer film morphology, thereby altering the interface conductance.Classical molecular dynamic simulations of metal-carbon nanotube thermal conductance values were calculated and compared to the TDTR results. The upper limit of metal-graphite thermal conductance is attributed to the decreased coupling at higher frequencies of the lighter metals studied, and to the decreased heat capacity for higher vibrational frequency modes

Molecular Dynamics Studies of Thermal Boundary Resistance in Carbon-Metal Interfaces

Molecular dynamics is used to study the interfacial thermal conductance between graphitic structures and metals. It is shown that with different metals, the conductance can vary by ∼4-fold, allowing the control of thermal transport in nanocomposites and nanoelectronic devices. The experimental values of conductance are higher by 10–20 MW m−2 K−1 compared to simulations. We suggest that in addition to lattice vibrations, an electromagnetic coupling between Johnson–Nyquist electric currents in the metal and graphite may contribute to the interfacial thermal conductance

Molecular dynamics studies of thermal boundary resistance at carbon–metal interfaces

Molecular dynamics is used to study the interfacial thermal conductance between graphitic structures and metals. It is shown that with different metals, the conductance can vary by ∼4-fold, allowing the control of thermal transport in nanocomposites and nanoelectronic devices. The experimental values of conductance are higher by 10–20 MW m−2 K−1 compared to simulations. We suggest that in addition to lattice vibrations, an electromagnetic coupling between Johnson–Nyquist electric currents in the metal and graphite may contribute to the interfacial thermal conductance

Yttria-Stabilized Zirconia-Based Composites with Adaptive Thermal Conductivity

Thermal conductivity trends in a “chameleon coating” thin film were characterized with a time-domain thermoreflectance (TDTR) technique. A yttria-stabilized zirconia (YSZ)-based nanocomposite material containing ∼21 vol.% silver (Ag) was employed for this study. The thermal conductivity (k) of the as-deposited composite film was measured with TDTR and found to have a value of 7.4 ± 1.4 W m−1 K−1. The film was then annealed at 500 °C for 1 h to stimulate Ag flow from within the composite to the surface via diffusion. The Ag that coalesced on the surface during annealing was removed to expose the underlying porous YSZ matrix, and the sample was reexamined with the TDTR technique. The thermal conductivity of the porous nanocomposite YSZ material was then measured to be 1.6 ± 0.2 W m−1 K−1, which is significantly lower than a fully dense control sample of pure nanocrystalline YSZ (2.0 ± 0.1 W m−1 K−1). The annealed film displayed a 20% reduction in thermal conductivity as compared to the control sample and a 4–5-fold reduction in thermal conductivity as compared to the as-deposited material. The experiments demonstrate temperature triggering of a composite material, resulting in self-modifying thermal conductivity and diffusion-controlled porosity. These aspects can be used to enhance or restrict thermal transport (i.e., a thermal switch). The applicability of the TDTR technique to measurements of thin, nanoporous film materials is also demonstrated

Thermal Anisotropy in Nano-Crystalline MoS2 Thin Films

In this work, we grow thin MoS2 films (50–150 nm) uniformly over large areas (\u3e1 cm2) with strong basal plane (002) or edge plane (100) orientations to characterize thermal anisotropy. Measurement results are correlated with molecular dynamics simulations of thermal transport for perfect and defective MoS2 crystals. The correlation between predicted (simulations) and measured (experimental) thermal conductivity are attributed to factors such as crystalline domain orientation and size, thereby demonstrating the importance of thermal boundary scattering in limiting thermal conductivity in nano-crystalline MoS2 thin films. Furthermore, we demonstrate that the cross-plane thermal conductivity of the films is strongly impacted by exposure to ambient humidity

Análises da persistência na lactação de vacas da raça Holandesa, usando produção no dia do controle e modelo de regressão aleatória Analysis of persistency in the lactation of Holstein cows using test-day yield and random regression model

Foram utilizados 87.045 registros de produção de leite, na primeira lactação, de 11.023 vacas da raça Holandesa, obtidos nos anos de 1997 a 2001, em diferentes rebanhos distribuídos em dez núcleos do Estado de Minas Gerais. Foram avaliados seis tipos de mensuração da persistência na lactação utilizando-se os valores genéticos da produção de leite, obtidos por meio do modelo de regressão aleatória - MRA. Utilizou-se a função de Wilmink na descrição dos efeitos aleatórios e fixos, pelo MRA. As estimativas de herdabilidade e de correlação genética, para as várias mensurações da persistência na lactação, variaram em decorrência da definição da persistência. As estimativas de herdabilidade para persistência na lactação variaram de 0,11 a 0,27 e as estimativas de correlação genética entre as mensurações da persistência na lactação e produção de leite até 305 dias, de -0,31 a 0,55, indicando que a persistência na lactação é uma característica de moderada herdabilidade e pouco correlacionada com a produção de leite até 305 dias. A seleção de animais para persistência na lactação, com o objetivo de alterar a forma da curva de lactação, pode ser eficiente.<br>A total of 87,045 milk yield records of 11,023 first-parity Holstein cows was utilized, obtained from 1997 to 2001 from different herds of 10 Minas Gerais locations. Six types of persistency measures in lactation were evaluated using milk yield breeding values, obtained by means of Random Regression Model - RRM. The Wilmink function was used to describe the random and fixed effects by RRM. Heritability estimates and genetic correlations for various persistency measures in lactation were dependent on the definition of persistency. The heritability estimates for persistency in lactation ranged from 0.11 to 0.27 and the genetic variations among persistency measures in lactation and milk yield up to d 305 ranged from -0.31 to 0.55, showing that persistency in lactation is a trait of moderate heritability showing little correlation with milk yield up to d 305. The selection of animals for persistency in lactation aiming to alter the lactation curve may be effective