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20 results for “catalytic reaction”
Dataset of Scanning Tunneling Microscopy (STM) images of model surfaces for elementary steps in catalytic reactions
<p>STM images presented in the dataset were recorded by the STRAS research group using a Omicron Variable Temperature STM (VT-STM) microscope, in the TASC laboratory of the CNR-IOM in Trieste.</p> <p>This work has been done within the NFFA-DI project funded by the European Union – NextGenerationEU - Missione 4, “Istruzione e Ricerca” – Componente 2, “Dalla ricerca all'impresa” – Linea di investimento 3.1,“Fondo per la realizzazione di un sistema integrato di infrastrutture di ricerca e innovazione” – Azione 3.1.1, “Creazione di nuove IR o potenziamento di quelle esistenti che concorrono agli obiettivi di Eccellenza Scientifica di Horizon Europe e costituzione di reti”.</p>
Catalytic Rules and Validation Results for "EzMechanism: An Automated Tool to Propose Catalytic Mechanisms of Enzyme Reactions"
<p>Dataset containing the "Rules of Enzyme Catalysis" as created during the development of EzMechanism and the validation results of the software. For more information see https://www.biorxiv.org/content/10.1101/2022.09.05.506575v1, and the M-CSA website in https://www.ebi.ac.uk/thornton-srv/m-csa/</p>
Raw Data for the Article "Zwitterionic Halido Cyclopentadienone Iron Complexes and Their Catalytic Performance in Hydrogenation Reactions"
<p>This data set contains the raw data (NMR, ESI-MS, LC-MS, Elemental Analysis, VT-NMR) for the article "Zwitterionic Halido Cyclopentadienone Iron Complexes and Their Catalytic Performance in Hydrogenation Reactions" published in <em>Inorganic Chemistry</em>, DOI:</p> <p><a href="https://doi.org/10.1021/acs.inorgchem.2c04298">https://doi.org/10.1021/acs.inorgchem.2c04298</a></p> <p> </p>
Data deposit accompanying Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields
<p>Dataset accompanying the paper: <em>"Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields"</em>. Contains the training sets curated during active learning as well as .xyz files used for creating the Figures. <br> <br> The paper highlights that the computational efficiency of ML force fields not only results in decreased computational costs for routine catalytic investigations but also facilitates more comprehensive exploration of catalytic pathways.</p> <p><strong>Published in NPJ Computational Materials</strong>: <a href="https://www.nature.com/articles/s41524-023-01124-2">https://www.nature.com/articles/s41524-023-01124-2</a><br> Formerly on Arxiv: <a href="https://arxiv.org/abs/2301.09931">https://arxiv.org/abs/2301.09931</a></p>
Machine learning the quantum flux-flux correlation function for catalytic surface reactions
<p>This dataset contains information on each of the 14 reactions used in the paper, the geometries for these reactions, the product of the quantum reaction rate constant and canonical reactant partition function and the flux-flux correlation function time series values for each reaction-temperature combination.</p> <p><strong>reaction_details.csv</strong></p> <p>This is a .csv file containing additional details on the reactions used in this paper. Each row contains one reaction/temperature combination, of which there are 55.</p> <p> </p> <p>Column descriptions:</p> <ul> <li>reaction_number: Reaction identifier number used in this work</li> <li>reaction: The chemical reaction equation</li> <li>metal_surface: atomic symbol of metal surface</li> <li>facet_number: Miller indices of surface</li> <li>reactants: Python dictionary object of reactants and their quantities</li> <li>products: Python dictionary object of products and their quantities</li> <li>reaction_energy [eV]: reaction energy in electron-volts</li> <li>activation_energy [eV]: activation energy of reaction in electron-volts</li> <li>temperature [K]: The randomly assigned temperature a calculation was run for</li> <li>kQ_Cff [1/au]: The calculated integrated reaction rate product at corresponding temperature {1,2,3,4} in units 1/(au time).</li> <li>reaction_split: Train/test placement of that reaction/temperature combination for reaction split</li> <li>temperature_split:<strong> </strong>Trian/test placement of that reaction/temperature combination for temperature split</li> <li>catalysishub_reactionID: Catalysis Hub reaction ID identifier for referencing catalysis hub database</li> <li>doi:<strong> </strong>digital object identifier of original publication for which DFT calculations were performed</li> </ul> <p> </p> <p> </p> <p><strong>Flux_flux_correlation_functions:</strong></p> <p>Directory containing flux-flux correlation function time series values for each reaction temperature combination. Values are organized in subdirectories, one for each of the 14 reaction. In each subdirectory .csv files are labeled by reaction number and temperature in Kelvin. Each csv file contains a column with time points [au of time] and the corresponding flux-flux correlation function value in units [1/(au of time)<sup>2</sup>].</p> <p> </p> <p><strong>Geometries:</strong></p> <p>Directory containing geometry files for each reaction. Geometries of reactants on the surface were shifted respect to those supplied by catalysis hub to create continuous reaction pathways where necessary. Geometry files are organized in subdirectories for each reaction. When complete nudged elastic band (NEB) minimum energy paths (MEP) were not available ,subdirectories contain a products.xyz, reactants.xyz, and TSstar.xyz file (reactions 1 to 11) otherwise the complete set of NEB MEP images labeled neb{n}.xyz is given (reactions 12, 13, 14).</p> <p> </p> <p> </p>
Lanthanum modulated reaction pacemakers on a single catalytic nanoparticle - Database
<p><strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-43026-3) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong></p><p>FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at constant pressures of pH2 = 5.0 x 10-6 and pO2 = 4.4 x 10-6 mbar on a clean Rh tip (Data 1) and Lanthanum modulated surface (Data 2).</p>
Encapsulation Enhances the Catalytic Activity of C-N Coupling: Reaction Mechanism of a Cu(I)/Calix[8]arene Supramolecular Catalyst - XYZ Structure files
<p>XYZ Structures corresponding to DOI: 10.1002/cctc.202200662</p>
Dataset for the numerical simulation in the article "Catalytically biased self-assembly by hybridization of reversibility and irreversibility in a reaction network"
<p>This dataset includes the essential source code and the corresponding numerical data for the self-assembly of a M6L4 square-based pyramid (SP) complex. </p> <p>The associated study is described in </p> <p><strong>"Catalytically biased self-assembly by hybridization of reversibility and irreversibility in a reaction network"</strong>, by T. Abe, S. Takahashi, H. Sato, and S. Hiraoka.</p>
Clustering of Catalytic Nanocompartments for Enhancing an Extracellular Non-Native Cascade Reaction
<p>Data underlying the figures in the publication “Clustering of Catalytic Nanocompartments for Enhancing an Extracellular Non-Native Cascade Reaction”, published in <em>Chemical Science</em> <strong>2021</strong>.</p> <p>Table of contents:</p> <p><strong>1. Figure 2</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 2</em>.</p> <p><strong>2. Figure 3</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 3</em>.</p> <p><strong>3. Figure 4</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 4</em>.</p> <p><strong>4. Figure 5</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 5</em>.</p> <p><strong>5. Figure 7</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 7</em>.</p>
Catalytic reaction processes using microchannel technology for hydrogen production by steam reforming
<p><strong>Catalytic reaction processes using microchannel technology for hydrogen production by steam reforming</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Two competing proposals have been made concerning the mechanism of catalytic reactions at surfaces, and it has not been possible to choose between them. Originally, Irving Langmuir, an American physical chemist, proposed chemisorption of both reacting species at the surface, followed by interaction between adjacent species and evaporation of the products. An alternative proposal involves interaction between an impinging molecule and species already adsorbed on the surface. Subsequent developments have suggested various modes of attachment of the adsorbed and adsorbing species. A major advance in the science of surface catalysis was the development of a method for determining the surface area of catalysts (and other materials) by measuring the multimolecular adsorption of nitrogen at liquid nitrogen temperatures or the adsorption of other gases close to their boiling points. It then became possible to calculate a quantity that represents the volume of gas necessary to form a monolayer on the accessible surface; furthermore, the area of the surface can be determined from the known dimensions of the adsorbed molecules. It has also been found possible to titrate (measure quantitatively) the area of surfaces by chemisorption of gases. Since heterogeneously catalyzed reactions occur on the surface of the catalyst, the rates of such reactions are proportional to the accessible surface area of the catalyst. Active catalysts are thus usually highly porous solids with total surface areas as high as several hundred square metres per gram. When measurements of surface areas became possible, it was seen at once that many constituents present in minor quantities in the main catalyst material, known as promoters, could act by extending the effective surface area of the catalyst. It also was shown, however, that a promoter might produce an increase in the quality of the surface for the given reaction. Acting in a reverse direction are minor constituents of the reacting system or unwanted products of the reaction, which by preferential adsorption on the reaction sites. Poisoning of a catalyst may also result from the poison adversely modifying the electronic properties of the catalyst.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 12.5259</p> <p>0.00025 12.5249</p> <p>0.0005 12.4628</p> <p>0.00075 12.2996</p> <p>0.001 12.0712</p> <p>0.00125 11.8221</p> <p>0.0015 11.596</p> <p>0.00175 11.4118</p> <p>0.002 11.2616</p> <p>0.00225 11.1177</p> <p>0.0025 10.9536</p> <p>0.00275 10.759</p> <p>0.003 10.5398</p> <p>0.00325 10.3175</p> <p>0.0035 10.1169</p> <p>0.00375 9.94876</p> <p>0.004 9.80787</p> <p>0.00425 9.67857</p> <p>0.0045 9.54646</p> <p>0.00475 9.40536</p> <p>0.005 9.25748</p> <p>0.00525 9.11421</p> <p>0.0055 8.98858</p> <p>0.00575 8.88572</p> <p>0.006 8.80178</p> <p>0.00625 8.72615</p> <p>0.0065 8.64819</p> <p>0.00675 8.5635</p> <p>0.007 8.47426</p> <p>0.00725 8.38872</p> <p>0.0075 8.31553</p> <p>0.00775 8.2578</p> <p>0.008 8.21239</p> <p>0.00825 8.17077</p> <p>0.0085 8.1251</p> <p>0.00875 8.07247</p> <p>0.009 8.01529</p> <p>0.00925 7.9603</p> <p>0.0095 7.91452</p> <p>0.00975 7.88049</p> <p>0.01 7.85474</p> <p>0.01025 7.83035</p> <p>0.0105 7.80092</p> <p>0.01075 7.76453</p> <p>0.011 7.72333</p> <p>0.01125 7.68313</p> <p>0.0115 7.65017</p> <p>0.01175 7.62633</p> <p>0.012 7.60882</p> <p>0.01225 7.59146</p> <p>0.0125 7.5688</p> <p>0.01275 7.53904</p> <p>0.013 7.50421</p> <p>0.01325 7.4698</p> <p>0.0135 7.4414</p> <p>0.01375 7.42087</p> <p>0.014 7.40548</p> <p>0.01425 7.38911</p> <p>0.0145 7.36723</p> <p>0.01475 7.33882</p> <p>0.015 7.30582</p> <p>0.01525 7.27313</p> <p>0.0155 7.24519</p> <p>0.01575 7.22352</p> <p>0.016 7.20619</p> <p>0.01625 7.18805</p> <p>0.0165 7.16393</p> <p>0.01675 7.13321</p> <p>0.017 7.09884</p> <p>0.01725 7.06502</p> <p>0.0175 7.03546</p> <p>0.01775 7.01145</p> <p>0.018 6.99108</p> <p>0.01825 6.96922</p> <p>0.0185 6.94195</p> <p>0.01875 6.90861</p> <p>0.019 6.8712</p> <p>0.01925 6.83338</p> <p>0.0195 6.79882</p> <p>0.01975 6.76887</p> <p>0.02 6.74161</p> <p>0.02025 6.71249</p> <p>0.0205 6.67791</p> <p>0.02075 6.63756</p> <p>0.021 6.59338</p> <p>0.02125 6.54862</p> <p>0.0215 6.50642</p> <p>0.02175 6.46809</p> <p>0.022 6.43121</p> <p>0.02225 6.39171</p> <p>0.0225 6.34695</p> <p>0.02275 6.29666</p> <p>0.023 6.24214</p> <p>0.02325 6.18634</p> <p>0.0235 6.13241</p> <p>0.02375 6.0807</p> <p>0.024 6.02879</p> <p>0.02425 5.9737</p> <p>0.0245 5.9136</p> <p>0.02475 5.84831</p> <p>0.025 5.779</p> <p>0.02525 5.70789</p> <p>0.0255 5.63732</p> <p>0.02575 5.56765</p> <p>0.026 5.49729</p> <p>0.02625 5.42368</p> <p>0.0265 5.34518</p> <p>0.02675 5.26167</p> <p>0.027 5.17445</p> <p>0.02725 5.08554</p> <p>0.0275 4.99626</p> <p>0.02775 4.90677</p> <p>0.028 4.81571</p> <p>0.02825 4.7225</p> <p>0.0285 4.62433</p> <p>0.02875 4.52329</p> <p>0.029 4.40952</p> <p>0.02925 4.30083</p> <p>0.0295 4.20122</p> <p>0.02975 4.10465</p> <p>0.03 4.05785</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Catalytic reactors with enhanced chemical conversion behavior for conducting simultaneous endothermic and exothermic reactions
<p><strong>Catalytic reactors with enhanced chemical conversion behavior for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>It has been taught methods which may be used to transform a monolithic structure into a co-current or countercurrent flow heat exchanger. The monolith is transformed by cutting or grinding the uppermost section of diving walls from rows of channels contained in the honeycomb. The top end of the newly formed groove is then sealed with suitable cement. The depth of the sealant is such that an opening still exists in the side wall of the structure. A manifold is attached to this inlet. A similar exercise is performed at the opposing end to produce an outlet section. Hot gas is passed through the inlet whilst cold coolant is passed through the open end. Efficient heat transfer occurs between the two streams. However, the possibility of using such an arrangement for coupling endothermic and exothermic catalytic processes on opposing sides of each dividing wall is not taught. It has been taught a method to efficiently transfer energy through a divider by contacting a catalyst to the wall and performing an exothermic reaction there. The energy is conducted through the wall and used to heat a gas stream on the opposing side of the wall. An apparatus is described where multiple layers are formed with alternating hot and cold channels to produce a gas heater. However, the method does not discuss the possibility of utilizing this concept for thermally coupling endothermic and exothermic reactions within a monolith reactor.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 1.88478</p> <p>0.00025 1.92635</p> <p>0.0005 2.0243</p> <p>0.00075 2.14121</p> <p>0.001 2.26285</p> <p>0.00125 2.38391</p> <p>0.0015 2.5016</p> <p>0.00175 2.61386</p> <p>0.002 2.71933</p> <p>0.00225 2.81695</p> <p>0.0025 2.9061</p> <p>0.00275 2.98659</p> <p>0.003 3.05831</p> <p>0.00325 3.12146</p> <p>0.0035 3.17647</p> <p>0.00375 3.22385</p> <p>0.004 3.26403</p> <p>0.00425 3.29778</p> <p>0.0045 3.32579</p> <p>0.00475 3.34828</p> <p>0.005 3.36585</p> <p>0.00525 3.37923</p> <p>0.0055 3.38901</p> <p>0.00575 3.39569</p> <p>0.006 3.39964</p> <p>0.00625 3.40142</p> <p>0.0065 3.40139</p> <p>0.00675 3.39974</p> <p>0.007 3.39685</p> <p>0.00725 3.39304</p> <p>0.0075 3.38846</p> <p>0.00775 3.38332</p> <p>0.008 3.37786</p> <p>0.00825 3.37216</p> <p>0.0085 3.36657</p> <p>0.00875 3.36135</p> <p>0.009 3.35646</p> <p>0.00925 3.35185</p> <p>0.0095 3.34767</p> <p>0.00975 3.34403</p> <p>0.01 3.3408</p> <p>0.01025 3.33803</p> <p>0.0105 3.33572</p> <p>0.01075 3.33405</p> <p>0.011 3.33301</p> <p>0.01125 3.33242</p> <p>0.0115 3.33227</p> <p>0.01175 3.33256</p> <p>0.012 3.33329</p> <p>0.01225 3.33451</p> <p>0.0125 3.33619</p> <p>0.01275 3.33825</p> <p>0.013 3.34069</p> <p>0.01325 3.34347</p> <p>0.0135 3.34647</p> <p>0.01375 3.34978</p> <p>0.014 3.35347</p> <p>0.01425 3.35729</p> <p>0.0145 3.36123</p> <p>0.01475 3.36531</p> <p>0.015 3.36946</p> <p>0.01525 3.37365</p> <p>0.0155 3.37777</p> <p>0.01575 3.38195</p> <p>0.016 3.38636</p> <p>0.01625 3.39101</p> <p>0.0165 3.3956</p> <p>0.01675 3.40005</p> <p>0.017 3.40456</p> <p>0.01725 3.40915</p> <p>0.0175 3.41362</p> <p>0.01775 3.41806</p> <p>0.018 3.42267</p> <p>0.01825 3.42714</p> <p>0.0185 3.43145</p> <p>0.01875 3.43582</p> <p>0.019 3.44022</p> <p>0.01925 3.44451</p> <p>0.0195 3.44872</p> <p>0.01975 3.45302</p> <p>0.02 3.45739</p> <p>0.02025 3.46153</p> <p>0.0205 3.46548</p> <p>0.02075 3.4695</p> <p>0.021 3.47355</p> <p>0.02125 3.47744</p> <p>0.0215 3.4811</p> <p>0.02175 3.48467</p> <p>0.022 3.48808</p> <p>0.02225 3.49137</p> <p>0.0225 3.49463</p> <p>0.02275 3.49784</p> <p>0.023 3.50085</p> <p>0.02325 3.50358</p> <p>0.0235 3.50617</p> <p>0.02375 3.50872</p> <p>0.024 3.51116</p> <p>0.02425 3.51353</p> <p>0.0245 3.51592</p> <p>0.02475 3.51817</p> <p>0.025 3.52004</p> <p>0.02525 3.52161</p> <p>0.0255 3.52305</p> <p>0.02575 3.52439</p> <p>0.026 3.52547</p> <p>0.02625 3.52614</p> <p>0.0265 3.52658</p> <p>0.02675 3.5265</p> <p>0.027 3.52593</p> <p>0.02725 3.5252</p> <p>0.0275 3.52428</p> <p>0.02775 3.52285</p> <p>0.028 3.52091</p> <p>0.02825 3.51866</p> <p>0.0285 3.51596</p> <p>0.02875 3.51277</p> <p>0.029 3.50899</p> <p>0.02925 3.5048</p> <p>0.0295 3.4992</p> <p>0.02975 3.4806</p> <p>0.03 3.46548</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Emergence of chaos in a compartmentalized catalytic reaction nanosystem - Database
<p><strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-36434-y) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong></p> <p>FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at pressures of p<sub>H2</sub> = 7.0 x 10<sup>-6</sup>, p<sub>H2</sub> = 8.5 x 10<sup>-6</sup> and p<sub>H2</sub> = 11.5 x 10<sup>-6</sup> mbar and constant p<sub>O2</sub> = 4.4 x 10<sup>-6</sup> mbar and data of the calculated surface coverages from the microkinetic simulations.</p>
Dataset: Dissecting reaction mechanisms and catalytic contributions in flavoprotein fumarate reductases
<p>Dataset with all stationary points (in xyz file format) and videos of the reactions discussed in the work: Dissecting reaction mechanisms and catalytic contributions in flavoprotein fumarate reductases.</p>
Supplementary data as part of the article "Comparing the reaction profiles of single-iron catalytic sites in enzymes and in reticular frameworks for methane-to-methanol oxidation" (https://doi.org/10.1016/j.xcrp.2023.101422)
<p>Cartesian coordinates in the *.XYZ format for all the structures optimized at the M06-L/def2-TZVP in the reactivity study as part of the article "Comparing the reaction profiles of single-iron catalytic sites in enzymes and in reticular frameworks for methane-to-methanol oxidation" (<a href="https://doi.org/10.1016/j.xcrp.2023.101422">https://doi.org/10.1016/j.xcrp.2023.101422</a>)</p>
Consequences of adsorbate-adsorbate interactions for modelled reaction kinetics of surface catalytic reactions
<p>A repository that contains Zacros input files and python scripts for postprocessing simulation results. </p>
Chemical Vapor Deposition Strategy towards CuNiNC Films with Catalytic Activity for the Oxygen Evolution Reaction
<p>Data associated with the manuscript submitted for publication with the same title</p>
Data from: Catalytic self-folding of 2D structures through cascading magnet reactions
While thousands of proteins involved in development of the human body are capable of self-assembling in a distributed manner from merely 20 types of amino acid, macroscopic products that can be assembled spontaneously from `alive' components remains an aspiration in engineering. To attain such a mechanism, a major challenge lies in understanding which attributes from the bio-molecular realm must be leveraged at the macro-scale. Inspired by protein folding, we present a centimetre-size 1D tile chain whose self-folding processes are directed by structure-embedded magnetic interactions, which can theoretically self-assemble into convex 2D structures of any size or shape without the aid of a global `controller'. Each tile holds two magnets contained in paths designed to control their interactions. Once initiated by a magnetic unit (termed Catalyst), the chain self-reconfigures by consuming magnetic potential energy stored between magnet pairs, until the final 2D structure is reached at an energetic minimum. Both simulation and experimental results are presented to illustrate the method's efficacy on chains of arbitrary length. Results demonstrate the promise of a physically implemented, bottom-up, and scalable self-assembly method for novel 2D structure manufacturing, bridging the bio-molecular and mechanical realms.
Influence of reaction parameters on the catalytic upgrading of an acetone, butanol and ethanol (ABE) mixture: exploring new routes for modern biorefineries
<p>Here we present a comprehensive study on the effect of reaction parameters on the upgrade of an acetone, butanol and ethanol mixture – key molecules and platform products of great interest within the chemical sector. Using a selected high performing catalyst, Fe/MgO-Al<sub>2</sub>O<sub>3</sub>, the variation of temperature, reaction time, catalytic loading and reactant molar ratio have been examined in this reaction. This work is aiming to not only optimise the reaction conditions previously used, but to step towards using less energy, time and material by testing those conditions and analysing the sufficiency of the results. Herein we demonstrate that this reaction is favored at higher temperatures and longer reaction time. Also, we observe that increasing the catalyst loading had a positive effect on the product yields, while reactant ratios have shown to produce varied results due to the role of each reactant in the complex reaction network. In line with the aim of reducing energy and costs, this work showcases that the products from the upgrading route have significantly higher market value than the reactants, highlighting this process represents an appealing route to be implemented in modern biorefineries.</p>
Data from: Catalytic self-folding of 2D structures through cascading magnet reactions
Open the record for dataset details and reuse information.
Influence of reaction parameters on the catalytic upgrading of an acetone, butanol and ethanol (ABE) mixture: exploring new routes for modern biorefineries
Open the record for dataset details and reuse information.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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OpenNeuro
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