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Abstract The sublimation enthalpy, , is a key thermodynamic parameter governing the phase transformation of a substance between its solid and gas phases. This transformation is at the core of many important materials' purification, deposition, and etching processes. While can be measured experimentally and estimated computationally, these approaches have their own different challenges. Here, we develop a machine learning (ML) approach to rapidly predict from data generated using density functional theory (DFT). We further demonstrate how combining ML and DFT methods with active learning can be efficient in exploring the materials space, expanding the coverage of the computed dataset, and systematically improving the ML predictive model of . With an error of kJ/mol in instantaneous predictions of , the ML model developed in this work will be useful for the community. 

Abstract A Bayesian optimization procedure is presented for calibrating a multi-mechanism micromechanical model for creep to experimental data of F82H steel. Reduced activation ferritic martensitic (RAFM) steels based on Fe(8-9)%Cr are the most promising candidates for some fusion reactor structures. Although there are indications that RAFM steel could be viable for fusion applications at temperatures up to 600 °C, the maximum operating temperature will be determined by the creep properties of the structural material and the breeder material compatibility with the structural material. Due to the relative paucity of available creep data on F82H steel compared to other alloys such as Grade 91 steel, micromechanical models are sought for simulating creep based on relevant deformation mechanisms. As a point of departure, this work recalibrates a model form that was previously proposed for Grade 91 steel to match creep curves for F82H steel. Due to the large number of parameters (9) and cost of the nonlinear simulations, an automated approach for tuning the parameters is pursued using a recently developed Bayesian optimization for functional output (BOFO) framework [1]. Incorporating extensions such as batch sequencing and weighted experimental load cases into BOFO, a reasonably small error between experimental and simulated creep curves at two load levels is achieved in a reasonable number of iterations. Validation with an additional creep curve provides confidence in the fitted parameters obtained from the automated calibration procedure to describe the creep behavior of F82H steel. 

Vapor phase infiltration (VPI) is a vapor processing technique that converts polymers into organic–inorganic hybrid materials with modified properties. VPI of polymer membranes stabilizes against dissolution and swelling in organic liquids, opening up new opportunities for use in organic solvent reverse osmosis (OSRO) separations. However, the precise chemical structure of the infiltrated inorganic components remains poorly understood, limiting the potential to fully exploit process–structure–property relations for materials design and slowing the development of new hybrid membranes. This study explores the structural characteristics contributing to the chemical stability of PIM-1/ZnOxHy hybrid membranes through advanced spectroscopic techniques to clarify the chemistry and inorganic cluster formation in these materials that lead to enhanced stability in solvents that otherwise swell or dissolve the pure polymer. X-ray photoelectron spectroscopy (XPS) indicates a predominantly zinc hydroxide chemistry with higher proportions of oxide forming only at increasing cycle counts. Extended X-ray absorption fine structure (EXAFS) spectroscopy provides new understanding of the first and second coordination shells. These results indicate that the size of the clusters increases with prolonged VPI precursor exposure and additional VPI cycles, leading to improvements in membrane solvent stability. These findings offer a new understanding for how the physicochemical structure of these hybrid membranes can be characterized and then used to design for a desired performance. 

Vapor-phase infiltration (VPI) presents a promising approach to enhancing the stability of organic membranes in organic solvents while maintaining critical properties, such as membrane permeance and selectivity. However, the precise chemical structure of the infiltrated inorganics and their impact on solvent stability remain poorly understood, limiting efforts to improve VPI treated hybrid membrane technology for organic solvent reverse osmosis (OSRO). This study uses X-ray absorption spectroscopy alongside X-ray photoelectron spectroscopy (XPS) to elucidate the inorganic cluster structure within PIM-1/AlOxHy. By analyzing the H2O ratio via XPS and assessing the first and second shell Al coordination numbers from Al K-edge extended X-ray absorption fine structure (EXAFS) spectroscopy, we propose that aluminum oxyhydroxide tends to form nonlinear networked structures. X-ray absorption near-edge spectroscopy (XANES) analysis confirms a predominantly six-coordinate structure in the first shell, while EXAFS analysis of the second shell reveals the presence of three aluminum atoms, suggesting clusters significantly larger than simple dimers or trimers, similar to larger aluminum hydroxide and oxyhydroxide crystal structures. Furthermore, we demonstrate that postprocessing techniques, such as dehydration and rehydration, can be utilized to control this network structure and membrane permeance and selectivity without compromising solvent stability. 

We explored the potential for membrane materials to reduce energy and carbon requirements for the separation of aliphatic hydrocarbon feedstocks and products. We developed a series of fluorine-rich poly(arylene amine) polymer membranes that feature rigid polymer backbones with segregated perfluoroalkyl side chains. This combination imbues the polymers with resistance to dilation induced by hydrocarbon immersion without the loss of solution-based membrane fabrication techniques. These materials exhibit good separation of liquid-phase alkane isomers at ambient temperatures. The integration of these polymeric membranes into fuel and chemical feedstock separation processes was investigated in a series of experiments. Technoeconomic analyses based on these experiments indicate that the best-performing membrane materials can substantially reduce the energy costs and associated carbon emissions of hydrocarbon separations (two to 10 times, depending on product specifications). 

Vapor phase infiltration (VPI) enables the fabrication of novel organic–inorganic hybrid materials with distinctive properties by infiltrating polymers with inorganic species through a top-down approach. However, understanding the process kinetics is challenging due to the complex interplay of sorption, diffusion and reaction processes. This study examines how polymer network flexibility affects the kinetics of diethylzinc (DEZ) infiltration into a highly crosslinked polyacrylate copolymer system composed of two monomers: trimethylolpropane triacrylate (TMPTA) and ethoxylated trimethylolpropane triacrylate (ETPTA). The findings show that increasing the ratio of ETPTA, which enhances network flexibility, facilitates precursor diffusion, resulting in deeper infiltration and faster saturation. A reaction–diffusion transport model is employed to qualitatively interpret the experimental results and gain insights into the underlying process mechanisms, thus contributing to a better understanding of VPI kinetics. 

This study investigates the use of TiCl4 vapor phase infiltration (VPI) to cleave ester groups in the main chain of a polymer and drive depolymerization and film etching. Prior investigations have demonstrated that the infiltration of TiCl4 into PMMA results in dealkylation of its ester bond, cleaving its side groups. This study investigates the VPI of TiCl4 into poly(lactic acid), which is a prototypical polymer with an ester group in its main chain. Utilizing in situ quartz crystal microbalance (QCM) measurements and spectroscopic ellipsometry, PLA is observed to depolymerize readily at 135 °C with extended TiCl4 precursor exposure, resulting in significant thickness and mass reduction, whereas at 90 °C, depolymerization is significantly slower and etching is negligible. Utilizing Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and a residual gas analyzer (RGA), dealkylation is shown to be the primary depolymerization mechanism. FTIR and XPS analyses reveal the consumption of carbonyl and methoxy groups and the emergence of hydroxyl, chlorine, and titanium moieties. In situ RGA measurements provide further insights into the byproducts formed during the TiCl4 and water exposure steps, indicating that the depolymerized components undergo further breakdown into other substances. Residuals left after 135 °C TiCl4 VPI are easily removed with a 0.1 M HCl aqueous solution. These findings highlight the expanding functionality of VPI, revealing its capability as both an additive and subtractive process and suggesting its broader applications. 

Photopatterning of polymers enables the microfabrication of numerous microelectronic, micromechanical, and microchemical systems. The incorporation of inorganics into a patterned polymer material can generate many new interesting properties such as enhanced stability, optical performance, or electrical properties. Vapor phase infiltration (VPI) allows for the creation of hybrid organic–inorganic materials by infiltrating polymers with gaseous metalorganic precursors. This study seeks to explore the potential of integrating VPI with existing photopatterning techniques to achieve top-down hybridization and property modification of polymer structures of different complexity. For this, VPI of diethylzinc (DEZ) is studied for four highly crosslinked acrylate networks that can be patterned by photolithography and two-photon polymerization (2PP): pentaerythritol triacrylate (PETA), pentaerythritol tetraacrylate (PETeA), trimethylolpropane triacrylate (TMPTA) and ethoxylated trimethylolpropane triacrylate (ETPTA). The findings show that for highly crosslinked polymer networks, VPI can be limited by slow precursor diffusion. However, by introducing flexible segments (e.g., ethoxylated chains), the polymer's free volume can be increased, and infiltration is accelerated, leading to faster infiltration times and higher and more uniform inorganic loading. Finally, selective infiltration of ZnO into photolithographically patterned copolymer networks of TMPTA and ETPTA on non-infiltrating poly(methyl methacrylate) (PMMA) is demonstrated illustrating the potential of VPI for advanced maskless patterning strategies.