David Sholl Executive Director and Vice Provost, University of Tennessee-Oak Ridge Innovation Institute Contact SHOLLDS@ORNL.GOV All Publications Biphasic solvents for post-combustion CO2 capture from natural gas flue Gas Effect of Viscosity of a Deep Eutectic Solvent on CO2 Capture Performance in an Energy-Efficient Membrane Contactor-Based Pro... Assessment of Long-Term Degradation of Adsorbents for Direct Air Capture by Ozonolysis... Kinetic Separation of Siloxanes in Metal–Organic Frameworks... Incorporating Diurnal and Meter-scale Variations of Ambient CO2 Concentrations in Development of Direct Air Capture Technologies Sub-Ambient Performance of Potassium Sarcosinate for Direct Air Capture Applications: CO2 Flux and Viscosity Measurements Exploitation of Pore Structure for Increased CO2 Selectivity in Type 3 Porous Liquids Magnetic nanoparticle-induced sorbent regeneration for direct air capture Experiences with enhancing data sharing in a large disciplinary engineering journal... A US perspective on closing the carbon cycle to defossilize difficult-to-electrify segments of our economy Investigating the Effect of Trace Levels of Manganese Ions During Solvothermal Synthesis of Massey University Framework-16 on CO2 Uptake Capacity Assessing Impacts of Atmospheric Conditions on Efficiency and Siting of Large-Scale Direct Air Capture Facilities The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture Machine Learning and IAST-Aided High-Throughput Screening of Cationic and Silica Zeolites for Alkane Capture, Storage, and Se... Probing Structural Defects in MOFs Using Water Stability Discovering Dinuclear Dioxygen-Bridged Cobalt(III) Complexes for Selective Binding of O2 from Air Structural and Adsorption Properties of ZIF-8-7 Hybrid Materials Synthesized by Acid Gas-Assisted and De Novo Routes Computational Screening of Cationic Zeolites for n-Butane/Methane Separations Using Quantitatively Accurate First-Principles-Derived Force Fields Machine Learning Models for Predicting Molecular Diffusion in Metal–Organic Frameworks Accounting for the Impact of Framework Flexibility Does Mixed Linker-Induced Surface Heterogeneity Impact the Accuracy of IAST Predictions in UiO-66-NH 2? Quantum Chemical Simulations of CO2 and N2 Capture in Reline, a Prototypical Deep Eutectic Solvent Efficient Exploration of Adsorption Space for Separations in Metal–Organic Frameworks Combining the Use of Molecular Simulations, Machine Learning, and Ideal Adsorbed Solution Theory Hierarchical ZIF-8 Materials via Acid Gas-Induced Defect Sites: Synthesis, Characterization, and Functional Properties Efficient Generation of Large Collections of Metal–Organic Framework Structures Containing Well-Defined Point Defects... Quantitative Simulations of Siloxane Adsorption in Metal–Organic Frameworks Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae
