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Journal articles on the topic 'Carbon transfer'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Sun, Licheng, and Sui Fang. "Irrational Carbon Emission Transfers in Supply Chains under Environmental Regulation: Identification and Optimization." Sustainability 14, no. 3 (January 18, 2022): 1099. http://dx.doi.org/10.3390/su14031099.

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Irrational transfer of carbon emissions in the supply chain refers to the phenomenon that after the transfer of carbon emissions occurs, the profits of any party in the supply chain are reduced compared to before the transfer. Identifying and optimizing irrational transfers of carbon emissions in supply chains under environmental regulation are the bases for establishing green supply chains. By constructing a manufacturer-led Steinberg model, we obtained identification intervals for such transfers, then analyzed the influences of the changes in various coefficients. Finally, we designed a carbon emission transfer cost-sharing contract to obtain optimized intervals for shifts from irrational to rational transfers and used a Nash bargaining model to obtain the optimal share rates within the intervals. The results indicated irrational transfer intervals existed in supply chains. When a supplier has a low ability to receive transfers, the range of the irrational transfer intervals increases as the supplier’s capacity coefficient for receiving carbon emission transfers, the transfer investment cost coefficient, the emission reduction investment cost coefficient, and the consumer’s low-carbon awareness intensity increase. Otherwise, the range decreases as these coefficients increase when the supplier’s ability to receive transfers has a large coefficient. In this range, a cost-sharing contract can effectively shift the transfers from irrational to rational and an optimal cost-sharing ratio can help the transfers reach the optimal level, which is beneficial in terms of constructing a green supply chain.

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2

Zhao, Biying, Licheng Sun, and Siying Gao. "Effects of Government Regulations on Under-Reporting of Carbon Emission Transfers by Enterprises in Supply Chains." Sustainability 14, no. 15 (July 28, 2022): 9269. http://dx.doi.org/10.3390/su14159269.

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In low-carbon environments, asymmetric carbon information causes the enterprises in a supply chain to face the risk of misstatements about carbon emissions. Such misstatements could affect the decisions about carbon emission transfers in the supply chain. To optimize carbon emission transfers among supply chain enterprises, this study formulates a supplier-led Stackelberg game model incorporating the government’s initial carbon emission allowances and fines. The study also examines the mechanism of the behaviors of enterprises in low-carbon supply chains, the proportions of initial quotas, the impact of government fines on carbon transfers, and the influence of the supply chain and carbon emission transfers on related supply chain decisions and profits. The main findings are as follows. First, the proportion of the government’s initial quota has a positive effect on the carbon emission transfer quantity of the supplier, while government fines and misstatement factors have a negative effect. Second, the carbon emissions of the unit product of the supplier decrease as the under-reporting factor and carbon emission transfer quantity of the supplier increase. The under-reporting factor has a stronger effect on the carbon emissions of the unit product. Third, in a carbon-free market, carbon emission transfers negatively affect the disclosed profits of the supply chain, whereas in a perfect carbon market, the carbon trading price has a certain endogenous regulation mechanism for the suppliers’ operational decisions. Fourth, the supplier’s wholesale price order quantity is negatively correlated with the supplier’s carbon emission transfer quantity, but positively correlated with the initial carbon quota ratio.

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3

Richard, John P., and Tina L. Amyes. "Proton transfer at carbon." Current Opinion in Chemical Biology 5, no. 6 (December 2001): 626–33. http://dx.doi.org/10.1016/s1367-5931(01)00258-7.

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4

Han, Yawen, Wanli Xing, Hongchang Hao, Xin Du, and Chongyang Liu. "Interprovincial Metal and GHG Transfers Embodied in Electricity Transmission across China: Trends and Driving Factors." Sustainability 14, no. 14 (July 20, 2022): 8898. http://dx.doi.org/10.3390/su14148898.

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With the increasing proportion of low-carbon power in electricity generation mix, power generation will be transformed from carbon-intensive to metal-intensive. In this context, metal and GHG transfers embodied in electricity transmission of China from 2015 to 2019 are quantified by the Quasi-Input-Output model. Combined with complex network theory, we have distinguished whether metal and GHG transfers show different trends as electricity trade changes. Driving factors contributing to forming the metal and GHG transfers are also explored based on the Quadratic Assignment Procedure. The results show that the electricity trade change has strengthened the metal transfer network significantly, while several key links in the GHG transfer network have weakened. Moreover, we find provincial differences in low-carbon electricity investment contributing to the metal transfer while affecting the GHG transfer little. The above facts imply an expanding embodied metal transfer in the future and shed light on policy making for power system decarbonization.

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5

Hu, Yabei, and Yang Tao. "Interregional Transfer of Carbon Emissions and Shared Responsibility: A Review of Theory and Evidence." International Journal of Business and Management 13, no. 8 (June 30, 2018): 236. http://dx.doi.org/10.5539/ijbm.v13n8p236.

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Addressing global climate change through obligation assignment of region-specific emissions reduction needs to measure not only direct carbon emissions of a particular region but also indirect carbon emissions, which are increasingly raised by interregional transfer of carbon emissions. With the literature on carbon emissions expanding substantially, emission transfers at both international and national levels have attracted a growing attention in the past years. This study provides an overview of the theoretical basis for, and empirical evidence on interregional emission transfers from three perspectives: transfer levels, transfer drivers and shared responsibility. We emphasize the contribution of such research to our understanding of global carbon emissions and regional responsibilities of emissions reduction. The discrepancies with previous studies are discussed in relation to the various theoretical arguments and empirical methods. Finally, based on the literature review, the study discusses theoretical and practical implications for scholars and practitioners, and highlights possible new directions for future research.

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6

Persichini III, P. "Carbon-Carbon Bond Formation via Boron Mediated Transfer." Current Organic Chemistry 7, no. 17 (November 1, 2003): 1725–36. http://dx.doi.org/10.2174/1385272033486198.

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7

Gribenchenko, A. V., A. S. Ovchinnikov, D. S. Gapich, V. A. Motorin, A. E. Novikov, V. S. Bocharnikov, and S. D. Fomim. "Structuring carbon alloys due to carbon mass transfer." IOP Conference Series: Earth and Environmental Science 341 (November 15, 2019): 012137. http://dx.doi.org/10.1088/1755-1315/341/1/012137.

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8

Ho, Chester S., John F. Shanahan, and Duen-Gang Mou. "Carbon Dioxide Transfer in Bioreactors." Critical Reviews in Biotechnology 4, no. 2 (January 1986): 185–252. http://dx.doi.org/10.3109/07388558609150794.

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9

Barton, Derek H. R., Joseph C. Jaszberenyi, and Emmanouil A. Theodorakis. "Nitrogen transfer to carbon radicals." Journal of the American Chemical Society 114, no. 14 (July 1992): 5904–5. http://dx.doi.org/10.1021/ja00040a088.

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10

QI, Yawei, and Zhiqin XU. "Research on China’s Regional Economic Linkages: Based on the Analyses of Carbon Emission Transfers and Labor Mobility." Chinese Journal of Urban and Environmental Studies 07, no. 02 (June 2019): 1950002. http://dx.doi.org/10.1142/s2345748119500027.

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In the face of the dual challenges of coordinated development of regional economy and sustainable development, strengthening the regional economic linkages is critical to realizing the coordinated development of the regional economy based on the reasonable transfer of carbon emissions. Under the background of industrial transfer, the authors used the inter-regional input–output model to measure the carbon emissions and labor transfers among 30 provinces in 2002, 2007 and 2010, analyzed the relationship between labor mobility and the spatial transfer of carbon emissions and introduced their scales and directions into a gravity model to measure the economic relations among regions. The results show that the embodied carbon emission tends to transfer from western and northeastern China to central and eastern China, which is consistent with the direction of labor mobility, and both of them show the feature of spatial clustering. Under the effects of carbon emission transfers and labor mobility, the radiation effects of the central node provinces in China such as Guangdong, Zhejiang, Hebei, Beijing, Henan and Gansu have given rise to the integrated regional spatial organizations of Beijing–Tianjin–Hebei, Yangtze River Delta Pan-Pearl River Delta and northwestern China, among which Yangtze River Delta and Pan-Pearl River Delta enjoy a relatively stable structure.

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11

Haddad, Lester M. "Carbon monoxide poisoning: To transfer or not to transfer?" Annals of Emergency Medicine 15, no. 11 (November 1986): 1375. http://dx.doi.org/10.1016/s0196-0644(86)80646-1.

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12

Chen, Hao, Erdan Wang, Nuo Wang, and Tao Song. "Research on Embodied Carbon Transfer Measurement and Carbon Compensation among Regions in China." International Journal of Environmental Research and Public Health 20, no. 3 (February 3, 2023): 2761. http://dx.doi.org/10.3390/ijerph20032761.

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The existence of interprovincial embodied carbon transfer not only makes it difficult to achieve carbon emission reductions but also exacerbates the inequity, inefficiency, and high costs of interprovincial carbon emission reduction rights and responsibilities. This paper uses multi-regional input–output analysis (MRIOA) to measure the interprovincial embodied carbon transfer in 2017, obtains the net carbon transfer between 30 provinces (municipalities and autonomous regions) and eight regions in 2017, and accounts for the interprovincial carbon compensation amount based on the carbon price in the national carbon market. This study finds that carbon transfer from economically developed provinces to less developed provinces still exists in China, and the overall distribution shows a spatial transfer pattern from south to north and from east to west, with the northwestern region bearing most of the carbon emission pressure for which it should receive corresponding financial compensation. As part of the process to achieve the “dual carbon” target, appropriate emission reduction policies should be formulated according to the characteristics of provincial carbon transfer and the principle of “who benefits, who compensates”, and economically developed regions should give corresponding financial or technical compensation to less developed regions based on net carbon transfer. Compensation and support should be given to less developed regions based on net carbon transfer to prevent further regional development imbalances.

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13

Habu, Ryuichi, and Wataru Yamada. "Heat of Transfer for Carbon in Iron-Carbon System." Materials Transactions, JIM 39, no. 3 (1998): 351–56. http://dx.doi.org/10.2320/matertrans1989.39.351.

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14

Schäfer, Hans J. "Carbon-Carbon Bond Formation via Electron Transfer: Anodic Coupling." ChemCatChem 6, no. 10 (September 1, 2014): 2792–95. http://dx.doi.org/10.1002/cctc.201402366.

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15

Doretti, Luca, Giovanni A. Longo, Simone Mancin, Giulia Righetti, and Claudio Zilio. "Flow boiling heat transfer on a Carbon/Carbon surface." International Journal of Heat and Mass Transfer 109 (June 2017): 938–48. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2017.02.066.

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16

Inagaki, Makoto, Kazuhiko Ninomiya, Akihiro Nambu, Takuto Kudo, Kentaro Terada, Akira Sato, Yoshitaka Kawashima, Dai Tomono, and Atsushi Shinohara. "Chemical effect on muonic atom formation through muon transfer reaction in benzene and cyclohexane samples." Radiochimica Acta 109, no. 4 (February 11, 2021): 319–26. http://dx.doi.org/10.1515/ract-2020-0112.

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Abstract To investigate the chemical effect on the muon capture process through a muon transfer reaction from a muonic hydrogen atom, the formation rate of muonic carbon atoms is measured for benzene and cyclohexane molecules in liquid samples. The muon transfer rate to carbon atoms of the benzene molecule is higher than that to the carbon atoms of the cyclohexane molecule. Such a deviation has never been observed among those molecules for gas samples. This may be because the transfers occur from the excited states of muonic hydrogen atoms in the liquid system, whereas in the gas system, all the transfers occur from the 1s (ground) state of muon hydrogen atoms. The muonic hydrogen atoms in the excited states have a larger radius than those in the 1s state and are therefore considered to be affected by the steric hindrance of the molecular structure. This indicates that the excited states of muonic hydrogen atoms contribute significantly to the chemical effects on the muon transfer reaction.

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17

Yang Bo, 杨波, 王姣 Wang Jiao, and 刘军 Liu Jun. "Heat transfer enhancement of carbon nanofluids." High Power Laser and Particle Beams 26, no. 5 (2014): 51003. http://dx.doi.org/10.3788/hplpb20142605.51003.

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18

Lacquet, L. M., J. E. Cotes, D. J. Chinn, Ph H. Quanjer, J. Roca, and J. C. Yernault. "Carbon monoxide transfer in the lungs." European Respiratory Journal 7, no. 3 (March 1, 1994): 620–21. http://dx.doi.org/10.1183/09031936.94.07030620.

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19

Crapo, Robert. "Carbon Monoxide Diffusing Capacity (Transfer Factor)." Seminars in Respiratory and Critical Care Medicine 19, no. 04 (July 1998): 335–47. http://dx.doi.org/10.1055/s-2007-1009411.

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20

Singh, Harjit, and Kamaljit Singh. "Carbon transfer reactions with heterocycles-IV." Tetrahedron 44, no. 18 (January 1988): 5897–904. http://dx.doi.org/10.1016/s0040-4020(01)81447-2.

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21

Cadranel, Alejandro, Johannes T. Margraf, Volker Strauss, Timothy Clark, and Dirk M. Guldi. "Carbon Nanodots for Charge-Transfer Processes." Accounts of Chemical Research 52, no. 4 (March 18, 2019): 955–63. http://dx.doi.org/10.1021/acs.accounts.8b00673.

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22

Schmal, D., J. Van Erkel, and P. J. Van Duin. "Mass transfer at carbon fibre electrodes." Journal of Applied Electrochemistry 16, no. 3 (May 1986): 422–30. http://dx.doi.org/10.1007/bf01008853.

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23

Gu, Huan, Yuan Guo, and Zhen Shi. "Covert Mannich Reaction via Carbon Transfer." Synthetic Communications 36, no. 22 (November 1, 2006): 3335–38. http://dx.doi.org/10.1080/00397910600941299.

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24

Yang, Xin-She. "Modelling heat transfer of carbon nanotubes." Modelling and Simulation in Materials Science and Engineering 13, no. 6 (July 29, 2005): 893–902. http://dx.doi.org/10.1088/0965-0393/13/6/008.

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25

Oestreich, Martin. "Chirality Transfer from Silicon to Carbon." Chemistry - A European Journal 12, no. 1 (January 2006): 30–37. http://dx.doi.org/10.1002/chem.200500782.

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26

Magadur, Gurvan, Jean-Sébastien Lauret, Valérie Alain-Rizzo, Christophe Voisin, Philippe Roussignol, Emmanuelle Deleporte, and Jacques A. Delaire. "Excitation Transfer in Functionalized Carbon Nanotubes." ChemPhysChem 9, no. 9 (June 23, 2008): 1250–53. http://dx.doi.org/10.1002/cphc.200800104.

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27

Klett, J. "Finite-element modeling of heat transfer in carbon/carbon composites." Composites Science and Technology 59, no. 4 (March 1999): 593–607. http://dx.doi.org/10.1016/s0266-3538(98)00099-2.

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28

Okamoto, Akio, Miles S. Snow, and Donald R. Arnold. "Photosensitized (electron transfer) carbon-carbon bond cleavage of radical cations." Tetrahedron 42, no. 22 (January 1986): 6175–87. http://dx.doi.org/10.1016/s0040-4020(01)88078-9.

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29

Qi, Yawei, Guangping Rao, Lei Zha, Lu Chen, and Yuping Niu. "Carbon Transfer Decision Model Based on LMDI Method." Computational Intelligence and Neuroscience 2022 (March 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/3970880.

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Establishing a coordinated governance mechanism for regional carbon emissions is an essential way to achieve carbon peak and carbon neutrality, while the study of interprovincial carbon emissions transfer is one of the important foundations of regional carbon emissions coordinated governance research. Based on the multiregional input-output (MRIO) model, this study calculated the carbon emissions from both the producers’ perspective and the consumers’ perspective and analyzed the interprovincial net carbon emissions transfer decision. Furthermore, the logarithmic mean Divisia index (LMDI) method was adopted to decompose the factors that affect the province’s net carbon emissions into technological effect, structural effect, input-output effect, and scale effect. It was revealed that the input-output effect was the primary influencing factor of the net carbon transfer at the provincial level.

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30

Meng, Xianwen, Yuan Li, and Ling Shen. "A controllable water transfer rate across a tandem carbon nanotube." International Journal of Modern Physics B 33, no. 27 (October 30, 2019): 1950324. http://dx.doi.org/10.1142/s0217979219503247.

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Water permeation across a carbon nanotube is important in carbon-based nanodevices. Water transfer rate is closely related to the radius of a carbon nanotube. It is hard to change water transfer rate by interior methods once the radius of the entrance of a carbon nanotube is chosen. In this paper, water transfer across a tandem carbon nanotube with a separation is investigated by molecular dynamics simulations. We find that water transfer rate experiences two different transfer behaviors: an increasing behavior and a decreasing behavior by changing the separation length. The result is important in designing a controllable carbon-based nanodevice.

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31

Kumar, Rahul, Hari Mahalingam, and Krishna K. Tiwari. "Theoretical Analysis of Mass Transfer in a Droplet Moving Down in Supercritical Carbon Dioxide Environment." International Journal of Chemical Engineering and Applications 6, no. 3 (June 2015): 190–94. http://dx.doi.org/10.7763/ijcea.2015.v6.479.

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32

Hosoda, Shogo, Kosuke Hayashi, and Akio Tomiyama. "OS21-1-2 Mass transfer from a dissolving carbon dioxide bubble in glycerol-water solution." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2011.10 (2011): _OS21–1–2—. http://dx.doi.org/10.1299/jsmeatem.2011.10._os21-1-2-.

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33

Samaras, Peter, Evan Diamadopoulos, and George P. Sakellaropoulos. "Relationship between the Activated Carbon Surface Area and Adsorption Model Coefficients for Removal of Phenol from Water." Water Quality Research Journal 30, no. 2 (May 1, 1995): 325–38. http://dx.doi.org/10.2166/wqrj.1995.030.

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Abstract The present study investigated the relationship between the activated carbon surface area, as measured by the BET nitrogen adsorption method, and its adsorptive capacity. Aqueous solutions of phenol at pH 7 were used. The activated carbons were produced in the laboratory from raw and demineralized lignite. Adsorption experiments took place under equilibrium or kinetic conditions and the results were simulated by mathematical modelling. Freundlich and Langmuir models were used to describe equilibrium, while the Peel-Benedek non-equilibrium model was applied for the kinetic study. The results showed that for activated carbons produced from different starting materials, the adsorptive capacities could not be solely explained by their BET surface area. While laboratory-made activated carbons with a surface area of 300 m2/g demonstrated similar capacities under equilibrium, their kinetic behaviour was different. Activated carbon produced from raw lignite showed faster kinetics, due to wider porosity, which was facilitated by the mineral matter during activation. These results were in agreement with the mass transfer coefficients in macropores and micropores estimated by the Peel-Benedek model. Comparison of a laboratory-made activated carbon, with a surface area of 500m2/g, with a commercial activated carbon having twice the surface area showed that the maximum adsorptive capacity under equilibrium of the commercial carbon was only 35% higher than that of the lab-made carbon. Yet, the mass transfer coefficients of the commercial carbon were one to two orders of magnitude higher than those of the laboratory-produced carbon. Finally, the use of the qualitative D-R plots has been suggested to elucidate the porous structure of the activated carbons.

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34

Ito, Osamu. "Photosensitizing Electron Transfer Processes of Fullerenes, Carbon Nanotubes, and Carbon Nanohorns." Chemical Record 17, no. 3 (October 4, 2016): 326–62. http://dx.doi.org/10.1002/tcr.201600066.

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35

Huang, Min, Yimin Chen, and Yuanying Zhang. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model." Sustainability 10, no. 12 (December 6, 2018): 4626. http://dx.doi.org/10.3390/su10124626.

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China has been the largest carbon emitter in the world since 2007 and is thus confronted with huge emission reduction pressures. The regional differences in socio-economic development lead to complex inter-provincial carbon transfer in China, which hinders the determination of the emission reduction responsibilities for the various provinces. Based on the latest multi-regional input-output data, this study analyzes the carbon footprint, inter-provincial carbon transfer, and the corresponding variations of 30 provinces in China from 2007 to 2010. The results show that the domestic carbon footprint increased from 4578 Mt in 2007 to 6252 Mt in 2010. Provinces with high carbon footprints were mainly found in central China, such as Shandong, Jiangsu, and Henan. Carbon footprints of the developed coastal provinces were greater than those of less developed provinces in Northwestern China. Per capita GDP (Gross Domestic Product) was positively correlated to the per capita carbon footprint, indicating a positive relationship between the economic development level and corresponding carbon emissions. Provincial carbon inflows were found to have increased steadily (ranging between 32% and 41%) from 2007 to 2010. The increases in direct carbon emissions varied largely among different provinces, ranging from below 30% in the developed provinces to more than 60% in the moderately developed provinces (e.g., Sichuan and Chongqing). The embodied carbon transferred from moderately developed or remote provinces to those developed ones. In other words, the carbon emission pressures of the developed provinces were shifted to the less developed provinces. The major paths of carbon flow include the transfers from Hebei to Jiangsu (32.07 Mt), Hebei to Beijing (26.78 Mt), Hebei to Zhejiang (25.60 Mt), and Liaoning to Jilin (27.60 Mt).

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36

May Lin, Ting, Then Siew Ping, Agus Saptoro, and Panau Freddie. "Mass Transfer Coefficients and Correlation of Supercritical Carbon Dioxide Extraction of Sarawak Black Pepper." International Journal of Food Engineering 10, no. 1 (December 5, 2013): 1–15. http://dx.doi.org/10.1515/ijfe-2012-0219.

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Abstract Bioactive compound, namely piperine, was extracted from Sarawak black pepper using supercritical carbon dioxide extraction. Experiments were carried outin the range of 3,000–5,000 psi (20.7–34.4 MPa) pressures, 318–328 K temperatures, 0.4–1 mm mean particle sizes and5–10 ml/min carbon dioxide flow rates. Experimental data analysis shows that extraction yield ismainly influenced by pressure, particle size and coupled-interactions between these two variables. Extraction process was modeled accounting for intraparticle diffusion and external mass transfer. The kinetics parameters for the internal and external mass transfers were evaluated and estimated. Mass transfer correlation was also developed. From simulation results, good agreement between experimental and simulated data has been found.

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37

Tang, Ying, and Menghan Chen. "Impact Mechanism and Effect of Agricultural Land Transfer on Agricultural Carbon Emissions in China: Evidence from Mediating Effect Test and Panel Threshold Regression Model." Sustainability 14, no. 20 (October 11, 2022): 13014. http://dx.doi.org/10.3390/su142013014.

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In order to identify the mechanism and effect of agricultural land transfer on agricultural carbon emissions, a study was conducted by analyzing the panel data of 30 provincial-level administrative regions from 2005 to 2019. Both the intermediary effect model and panel threshold regression model are applied to test the correlation between agricultural land transfer and agricultural carbon emissions, which provides some clarity on the mechanism of agricultural land transfer affecting agricultural carbon emissions and its future trends. The research results are as follows. Firstly, agricultural land transfer has a positive effect on agricultural carbon emissions, and agricultural factor input plays a mediating role between agricultural land transfer and agricultural carbon emissions. More specifically, the input of agricultural chemical elements has a positive impact on agricultural carbon emissions, while the input of agricultural machinery elements has a negative impact on agricultural carbon emissions. Secondly, under the threshold constraint of the urbanization level, the relationship between agricultural land transfer and agricultural carbon emissions is characterized by an inverted “U” shape, with a threshold value of 0.73. In view of these findings, more attention should be directed to addressing the negative impact of agricultural land transfer on the ecological environment. Furthermore, various targeted measures should be taken to reduce the ecological risk carried by agricultural land transfer, to increase the effort made on achieving the goals of agricultural carbon emission reduction, and to promote the green and sustainable development of the agricultural industry.

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38

Park, Minsuk, and Sang‐Yong Ju. "Deterministic transfer of thin carbon nanotube film." Bulletin of the Korean Chemical Society 43, no. 2 (December 28, 2021): 196–200. http://dx.doi.org/10.1002/bkcs.12462.

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39

Schadler, L. S., S. C. Giannaris, and P. M. Ajayan. "Load transfer in carbon nanotube epoxy composites." Applied Physics Letters 73, no. 26 (December 28, 1998): 3842–44. http://dx.doi.org/10.1063/1.122911.

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40

Fedyaev, V. L., E. R. Galimov, N. Ya Galimova, A. V. Belyaev, and V. M. Samoylov. "Heat transfer in syntactyc carbon porous materials." IOP Conference Series: Materials Science and Engineering 412 (October 23, 2018): 012014. http://dx.doi.org/10.1088/1757-899x/412/1/012014.

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41

Araujo, Karolline A. S., Ana P. M. Barboza, Thales F. D. Fernandes, Nitzan Shadmi, Ernesto Joselevich, Mario S. C. Mazzoni, and Bernardo R. A. Neves. "Charge transfer between carbon nanotubes on surfaces." Nanoscale 7, no. 39 (2015): 16175–81. http://dx.doi.org/10.1039/c5nr03547c.

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42

Her, Shiuh-Chuan, and Shou-Jan Liu. "Stress Transfer in Single-Walled Carbon Nanotubes." Advanced Science Letters 13, no. 1 (June 30, 2012): 431–35. http://dx.doi.org/10.1166/asl.2012.3836.

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43

Lloyd-Jones, G., S. Rendler, M. Oestreich, and C. Butts. "Intermolecular Chirality Transfer from Silicon to Carbon." Synfacts 2007, no. 4 (April 2007): 0409. http://dx.doi.org/10.1055/s-2007-968362.

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44

Hong, Haiping, Jesse Wensel, Feng Liang, W. Edward Billups, and Walter Roy. "Heat Transfer Nanofluids Based on Carbon Nanotubes." Journal of Thermophysics and Heat Transfer 21, no. 1 (January 2007): 234–36. http://dx.doi.org/10.2514/1.25659.

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45

Wei, Haoming, Yang Wei, Xiaoyang Lin, Peng Liu, Shoushan Fan, and Kaili Jiang. "Ice-Assisted Transfer of Carbon Nanotube Arrays." Nano Letters 15, no. 3 (February 27, 2015): 1843–48. http://dx.doi.org/10.1021/nl504614m.

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46

Sangwan, V. K., A. Southard, T. L. Moore, V. W. Ballarotto, D. R. Hines, M. S. Fuhrer, and E. D. Williams. "Transfer printing approach to all-carbon nanoelectronics." Microelectronic Engineering 88, no. 10 (October 2011): 3150–54. http://dx.doi.org/10.1016/j.mee.2011.06.017.

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47

Qian, D. "Load transfer mechanism in carbon nanotube ropes." Composites Science and Technology 63, no. 11 (August 2003): 1561–69. http://dx.doi.org/10.1016/s0266-3538(03)00064-2.

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48

Zalamea, Luis, Hyonny Kim, and R. Byron Pipes. "Stress transfer in multi-walled carbon nanotubes." Composites Science and Technology 67, no. 15-16 (December 2007): 3425–33. http://dx.doi.org/10.1016/j.compscitech.2007.03.011.

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Wirz, J. "Kinetics of proton transfer reactions involving carbon." Pure and Applied Chemistry 70, no. 11 (November 30, 1998): 2221–32. http://dx.doi.org/10.1351/pac199870112221.

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Wu, Wei, Luqi Liu, Yong Li, Zhi‐Xin Guo, Liming Dai, and Daoben Zhu. "Charge Transfer Complex of TTF‐Carbon Nanotubes." Fullerenes, Nanotubes and Carbon Nanostructures 11, no. 2 (June 2003): 89–93. http://dx.doi.org/10.1081/fst-120021135.

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