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Practically Achievable Process Performance Limits for Pressure-Vacuum Swing Adsorption-Based Postcombustion CO <sub>2</sub> Capture
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
3 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 33 checked references that resolve
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Do adsorbent screening metrics predict process performance? A process optimisation based study for post-combustion capture of CO2
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Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO<sub>2</sub> Capture Based on Integrated Molecular Simulations, Process Optimizations, and Machine Learning Models
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Development of a General Evaluation Metric for Rapid Screening of Adsorbent Materials for Postcombustion CO<sub>2</sub> Capture
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From Crystal to Adsorption Column: Challenges in Multiscale Computational Screening of Materials for Adsorption Separation Processes
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How Well Do Approximate Models of Adsorption-Based CO<sub>2</sub> Capture Processes Predict Results of Detailed Process Models?
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Process Optimization-Based Screening of Zeolites for Post-Combustion CO<sub>2</sub> Capture by Vacuum Swing Adsorption
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Adsorbent Screening for Postcombustion CO<sub>2</sub> Capture: A Method Relating Equilibrium Isotherm Characteristics to an Optimum Vacuum Swing Adsorption Process Performance
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The effect of nitrogen adsorption on vacuum swing adsorption based post-combustion CO2 capture
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Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes
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<i>110th Anniversary</i>: Surrogate Models Based on Artificial Neural Networks To Simulate and Optimize Pressure Swing Adsorption Cycles for CO<sub>2</sub> Capture
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Generalized, Adsorbent-Agnostic, Artificial Neural Network Framework for Rapid Simulation, Optimization, and Adsorbent Screening of Adsorption Processes
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Techno-economic assessment of optimised vacuum swing adsorption for post-combustion CO2 capture from steam-methane reformer flue gas
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CO<sub>2</sub> capture from dry flue gas by vacuum swing adsorption: A pilot plant study
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Experimental validation of multi-objective optimization techniques for design of vacuum swing adsorption processes
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Cycle synthesis and optimization of a VSA process for postcombustion CO<sub>2</sub> capture
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On the Use of the Dual-Process Langmuir Model for Correlating Unary Equilibria and Predicting Mixed-Gas Adsorption Equilibria
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Exploring new sources of efficiency in process-driven materials screening for post-combustion carbon capture
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Evaluation of diamine-appended metal-organic frameworks for post-combustion CO2 capture by vacuum swing adsorption
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An Integrated Two-Stage P/VSA Process for Postcombustion CO<sub>2</sub> Capture Using Combinations of Adsorbents Zeolite 13X and Mg-MOF-74
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The 3 references without a DOI — listed, not checked
no DOI — not checkedGlobal Warming of 1.5 °C. An IPCC Special Report on the Impacts of Global Warming of 1.5 °C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty
no DOI — not checkedBrandani, S.; Farmahini, A. H.; Friedrich, D.; Krishnamurthy, S.; Sarkisov, L. Performance-based screening of porous materials for carbon capture. 2020, arXiv:2009.12289. arXiv Preprint. https://arxiv.org/abs/2009.12289.
no DOI — not checkedPrinciples of adsorption and adsorption processes
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