Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia +4 more
wiley +1 more source
Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst
Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia +5 more
wiley +1 more source
Abstract Mixed‐conducting ceramic hollow fiber membranes are a versatile platform for oxygen separation, value‐added chemical production, and oxy‐combustion. Because oxygen permeation is thermally activated, these systems typically rely on bulky, energy‐intensive furnaces that suffer from low efficiency and large thermal inertia.
Gang Wang +2 more
wiley +1 more source
Characterization of Hydrocarbon Molecular Signatures across Sedimentary Subbasins and Stratigraphic Units: Insights into Source Rock Attributes in Kansas. [PDF]
Omoyemi OV +4 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
A Bibliometric Analysis of Redox Species and Bio-Derived Electrodes for the Conversion of Petroleum-Contaminated Sediments into Bioelectricity. [PDF]
Rojas-Flores S +7 more
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Development of Organic Pores in the Gufeng and Longmaxi Formation Shale, Sichuan Basin: Combined Effects of Bioprecursor, Pore Filling, and Mineral-Organic Interactions. [PDF]
Wang Z, Hu G, Pang Q.
europepmc +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
Quantitative Characterization and Evolution of Nanopores Hosted in the Secondary Organic Matter of Shale Reservoirs Based on the Improved U‑Net Approach. [PDF]
Liu S, Zhou Q, Gao P, Liu W, Qian Y.
europepmc +1 more source

