Preface: Polymerisation and depolymerisation chemistry: the second century
On the use of advanced scanning transmission electron microscopy and machine learning for studying multi-component materials
The nanoscale distribution of elements in two multi-component materials is assessed by unsupervised machine learning methods. These are compared to elemental maps to highlight the potential shortcomings of simplistic compositional analyses. Quantification of the resulting microstructure components provides insight into the evolution of the microstructure and the possible reasons for misinterpretation of the traditional element maps.
Amorphization of laser-fabricated ignoble high-entropy alloy nanoparticles and its impact on surface composition and electrochemistry
High-entropy alloy nanoparticles (HEA NPs) constitute an interesting material class with high potential as heterogeneous catalysts due to their exceptional compositional and structural tunability and the complex interplay of different element-specific surface sites. Laser ablation in liquids (LAL) is a kinetically controlled synthesis method that allows the generation of colloidal HEA NPs. With CrFeCoNi-NPs, a facile control of the NP phase structure, switching between crystalline and amorphous applied laser pulse duration, has been previously reported, attributed to the different particle solidification times and metalloidic carbon incorporation pathways. However, neither the replacement of the oxygen-affine Mn by the sp-carbon coupling element Cu, nor the transferability of the pulsed laser fabrication process from bulk target to micropowder feedstock processing, has been studied. In the present work, we use scanning transmission electron microscopy, equipped with energy-dispersive X-ray spectroscopy (STEM-EDX), high-resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SAED), and X-ray diffraction (XRD) to demonstrate the transferability of internal phase structure tunability to the CrFeCoNi alloy and confirm ns- and ps-pulsed LAL yielding amorphous and crystalline HEA NPs, respectively, with diameters of 10-40 nm. Furthermore, we examine the generation of CrFeCoNi and CrFeCoNi nanoparticles by scalable, fully continuous ns-pulsed microparticle laser fragmentation in liquid (MP-LFL) using a high-power UV-laser and find the emergence of amorphous phase structures only in the Cu-containing nanoparticles, a phenomenon we attribute to copper-catalyzed carbon incorporation into the HEA NPs. These studies are complemented by a detailed characterization of the surface electrochemistry of the HEA NPs alkaline cyclic voltammetry (CV) and elemental compositions in surface-near volumes, quantified by X-ray photoelectron spectroscopy (XPS). We elucidate that primarily the chemical composition (Mn Cu) and, only to a lower extent, the phase structure (amorphous crystalline) determine the surface potential, electrochemical stability upon multiple CV cycling, and surface element distribution of the particles. Finally, the activity of the HEA NPs in the oxygen evolution reaction (OER) is evaluated linear sweep voltammetry (LSV), where we find amorphous CrFeCoNi HEA NPs to be more active (lower overpotential, higher current density) than their crystalline counterparts, motivating future application-focused work and transfer to other material systems and relevant reactions.
Elucidating the reversible exsolution-dissolution behaviour of high-entropy oxides in crystalline and amorphous phases
High-entropy oxides (HEOs), as a subclass of high-entropy materials (HEMs), offer a versatile platform for catalysis by leveraging entropy-stabilized solid solutions with tunable compositions, lattice structures, and electronic properties. While exsolution-dissolution of metal species in crystalline HEOs has emerged as a promising strategy for reversible active sites regeneration, the dynamic behaviour of HEOs possessing amorphous nature remains under-explored, particularly the difference with crystalline counterparts. In this work, we systematically investigate the architecture-dependent exsolution-dissolution behavior of HEOs by comparing a crystalline-phase HEO (c-HEO) and an amorphous-phase HEO (a-HEO), both comprising Ni, Mg, Cu, Zn, and Co as principal metal elements. Using a combination of variable-temperature X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), electron microscopy, and CO diffuse reflectance infrared Fourier transform spectroscopy (CO-DRIFTS), the structural evolution of the two HEO phases under redox conditions was elucidated. Both materials exhibit reversible exsolution of metallic species or alloys in reducing environments, followed by re-incorporation into the host lattice upon oxidation. Remarkably, the a-HEO demonstrates more facile and dynamic self-healing behavior, with alloy exsolution and dissolution occurring under milder conditions because of its enhanced reducibility and structural disorder. This study provides critical insights into the design of next-generation regenerable catalysts based on amorphous HEOs, highlighting the role of phase structure in governing reversible metal-site formation dynamics and catalytic performance.
Morphological, structural and compositional evolution of PtPdFeCoNi high-entropy alloy nanoparticles towards bifunctional oxygen electrocatalysis
Developing active and stable bifunctional electrocatalysts for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is essential for a wide range of applications of rechargeable air batteries, water electrolysers, and fuel cells. Here, we report that single-phase face-centred cubic structured PtPdFeCoNi high-entropy alloy (HEA) nanoparticles, synthesized a facile colloidal synthesis approach, possess a good combination of activity and stability toward OER and ORR. Specifically, pristine PtPdFeCoNi HEA nanoparticles exhibit an overpotential of 306 mV at 10 mA cm for OER and a half-wave potential of 0.82 V RHE for ORR, with a narrow overvoltage (Δ) of 0.71 V in alkaline media, outperforming commercial Pt/C and RuO benchmark electrocatalysts. The OER and ORR activity of the HEA nanoparticles do not change significantly after prolonged electrochemical cycling (3000 cycles). Using X-ray photoelectron spectroscopy and transmission electron microscopy, we found no evident structural, morphological and compositional changes on the HEA nanoparticle surfaces after ORR cycling, explaining its high activity and stability. In contrast, after extended OER cycling, the PtPdFeCoNi nanoparticle surfaces transform into an amorphous layer embedded with Fe-, Co-, and Ni-rich oxyhydroxides, as well as Co-rich oxides, which likely promote activity. Additionally, the shell oxyhydroxide and oxide layer could prevent the continuous dissolution of Pt and Pd, providing long-term stability. Overall, this work underscores the importance of correlating morphological, structural, and compositional changes of HEA nanocatalysts with electrocatalytic performance, for understanding how individual elements behave toward bifunctional oxygen electrocatalysis.
Harnessing data and control with AI/ML-driven polymerization and copolymerization
Creating and curating new data to augment heuristics is a forthcoming approach to materials science in the future. Highly improved properties are advantageous even with "commodity polymers" that do not need to undergo new synthesis, high-temperature processes, or extensive reformulation. With artificial intelligence and machine learning (AI/ML), optimizing synthesis and manufacturing methods will enable higher throughput and innovative directed experiments. Simulation and modeling to create digital twins with statistical and logic-derived design, such as the design of experiments (DOE), will be superior to trial-and-error approaches when working with polymer materials. This paper describes and demonstrates protocols for understanding hierarchical approaches in optimizing the polymerization and copolymerization process AI/ML to target specific properties, using model monomers such as styrene and acrylate. The key is self-driving continuous flow chemistry reactors with sensors (instruments) and real-time ML with an online monitoring set-up that allows a feedback loop mechanism. We provide initial results using ML refinement of the classical Mayo-Lewis equation (MLE), time-series data, and an autonomous flow reactor system build-up as a future data-generating station. More importantly, it lays the ground for precision control of the copolymerization process. In the future, it should be possible to undertake collaborative human-AI-guided protocols for the autonomous fabrication of new polymers guided by literature and available data sources targeting new properties.
Stabilisation of FeCoNiCuPt high-entropy alloy nanoparticles by surface capping
High-entropy alloys (HEA) are a distinct class of materials made up of multiple principal components (≥5) in near-equimolar ratios, resulting in extraordinary properties, including high catalytic activity, corrosion and oxidation resistance, and tunable magnetic properties. In nanoparticle form, these alloys are highly promising for a variety of advanced applications, such as catalysis, magnetic storage, and biomedical technology [Zoubi , , 2023, , 108362]. This study used an isolating-medium-assisted solid-state reaction to synthesise FeCoNiCuPt HEA nanoparticles with ultrafine NaCl particles as the isolating medium [Meng , , 2024, , 719]. The nanoparticles were stabilised with a range of hydrophobic and hydrophilic capping agents, such as polyethylenimine, polyvinylpyrrolidone, stearic acid, octadecylamine, , introduced before or after the removal of the isolating medium. The formation of single-phase nanoparticles and the chemical composition of FeCoNiCuPt was validated using X-ray diffraction and energy-dispersive X-ray spectroscopy. Transmission electron microscopy and dynamic light scattering were used to determine particle sizes, effective capping agent thickness, and particle stability. The results highlight the successful synthesis of the FeCoNiCuPt nanoparticles, the effect of capping agents on the control of particle size, and the stability of capped-nanoparticle suspensions in water and organic solvents. The study emphasises the importance of selecting the appropriate capping agent to maintain nanoparticle stability and prevent agglomeration.
Tailoring Pd content for optimal stability in FeCoNiCu multielement alloy electrocatalysts for oxygen evolution reaction
Multielemental alloys (MEAs) based on Earth-abundant 3d transition metals hold significant promise as low-cost electrocatalysts for the oxygen evolution reaction (OER), but their long-term stability under oxidative conditions remains a major challenge. In this study, we investigate the effect of palladium incorporation on the electrochemical performance and structural durability of FeCoNiCu MEA nanoparticles. Building upon our previous findings that trace Pd addition significantly enhances catalyst durability, an accelerated durability test (ADT) performed at 100 mA cm reveals that the degradation rate (0.356 mV h) decreased dramatically to approximately 1/350th that of Pd-free FeCoNiCu (125 mV h). In this study, we systematically synthesized a series of Pd-FeCoNiCu alloys with Pd contents ranging from 0.177 to 1.97 at%. Advanced characterization techniques including inductively coupled plasma optical emission spectroscopy (ICP-OES), electron microscopy, synchrotron-based spectroscopy, and electrochemical measurements, were employed to elucidate the correlation between composition, structure, and performance. Our findings reveal a highly non-linear dependence of catalyst performance on Pd content: an optimal range (0.336-0.389 at%) enables long-range d-d/sp orbital hybridization that delocalizes the local density of states (LDOS) of surrounding 3d metals, thereby suppressing oxidative dissolution. In contrast, higher Pd concentrations lead to Pd-Pd interactions, localize electronic perturbation, and accelerate degradation. This volcano-type correlation between Pd content and durability, highlights a general strategy for engineering catalyst longevity minimal noble-metal doping and spatially cooperative electronic modulation.
Spiers Memorial Lecture: Multicomponent and high-entropy materials: an overview
Multicomponent phase space is enormous and contains a vast number of complex new materials. Despite intensive investigation in the last decade and a half however, we are only slowly making progress towards understanding these new materials. This paper attempts to summarise some of the fundamental discoveries we have made about the geography of multicomponent phase space and the wide range of complex new materials that we have found within it. This paper discusses briefly the following topics: the size and shape of multicomponent phase space and the range of single- and multiple-phase fields that it contains; the (initially) surprising presence of many large near-ideal single-phase solid-solution phases, stabilised by a high configurational entropy of mixing; the extensive and wide-ranging variation of local nanostructure and associated mechanical and electronic lattice strain that permeates throughout high-entropy solid-solution phases; and some of the unusual, exciting and valuable properties that are then produced within multicomponent and high-entropy materials. Many of the results discussed have been obtained from the fcc Cantor alloys (based on the original Cantor alloy, equiatomic fcc CrMnFeCoNi) and the bcc Senkov alloys (based on the original Senkov alloy, equiatomic VNbMoTaW), two groups of multicomponent high-entropy single-phase materials that have been particularly widely studied. Similar behaviour is also found in other multicomponent high-entropy single-phase materials, though these have not been studied so intensively. In comparison with multicomponent high-entropy single-phase materials, rather little is known about multicomponent multiphase materials that have also not been studied so intensively.
Spiers Memorial Lecture: Compostable plastics: promise and pitfalls
Plastics have enabled modern innovations through their unique attributes, which include a combination of light weight, durability, and cost-effectiveness. These characteristics, while central to their utility, have paradoxically contributed to the escalating plastic pollution crisis. No single approach can resolve this challenge; rather, it requires coordinated efforts with a diversity of strategies. Among them, compostable plastics have emerged as a particularly promising avenue. Under controlled conditions, such ephemeral plastics can degrade and transform into compost, offering environmental benefits that extend to soil, water, and agriculture. Nevertheless, substantial challenges remain before compostable plastics can achieve broad adoption and deliver their full promise. In this perspective, we (i) make the case for more widespread use of compostable plastics in the food packaging market, (ii) review labeling, infrastructure, and regulatory hurdles facing compostable-plastic adoption, and (iii) discuss the future of compostable-polymer research and development.
Evaluation of microstructure and phase formation in nanocrystalline FeCoCuNbMo high-entropy alloy synthesised by mechanical alloying
High entropy alloys (HEAs) have gained significant attention in materials science and engineering due to their stable phases. These alloys are made up of five or more major elements in equimolar or near-equimolar proportions, enabling them to harness the properties of multiple elements rather than depending on a single one. In this study, nanocrystalline FeCoCuNbMo high-entropy alloy powders were synthesised the mechanical alloying method with high-energy SPEX ball milling. The microstructures and crystal properties of the milled powders at regular intervals of milling were investigated through X-Ray Diffraction (XRD) and Field Emission Scanning Electron Microscopy (FESEM). XRD analysis revealed the BCC phase formation after 20 hours of milling. A study of diffraction patterns was conducted to find out the average crystallite size and internal strains, utilising Scherrer's formula and Williamson-Hall analysis, based on a uniform deformation model. Additionally, changes in particle size as a function of milling time were studied using nano zeta potential analysis. As milling time increased, the crystallite sizes decreased due to dislocations and stacking faults in the crystals, and nano-crystalline structure formations were observed after 20 h of milling.
Spectro-electrochemistry of guaiacol oxidation: tracking intermediates in a membrane-separated cell with attenuated total reflectance-infrared spectroscopy
Lignin, a structurally complex biopolymer, represents a promising renewable feedstock for the production of platform chemicals, including functionalized aromatic molecules. However, efficient lignin valorization remains a major challenge due to its chemical stability, structural heterogeneity, and the propensity of reactive intermediates to undergo recondensation. To overcome these barriers and gain mechanistic insight into lignin oxidation pathways, we have developed a membrane-separated, two-compartment attenuated total reflectance infrared (ATR-IR) spectro-electrochemical cell for the monitoring of the electrochemical oxidation of lignin model compounds. Using guaiacol as a representative model compound of the β-O-4 linkage monomer, we tracked real-time spectral changes during electrochemical oxidation. Characteristic vibrational signatures revealed the depletion of guaiacol and the formation of oxidized species, including quinones, catechols, and dimers and oligomers. In contrast, control experiments conducted without membrane separation exhibited additional spectral features, suggesting the occurrence of competing side reactions under conditions of unrestricted mass transport. These results highlight the importance of proper cell design for providing mechanistic insights and demonstrate the value of ATR-IR spectroscopy in tracking the complex electrochemical transformation of lignin-derived molecules, to offer insights critical for advancing lignin valorization strategies under mild and tunable reaction conditions.
High-throughput synthesis of multi-element alloy nanoparticles using solvothermal continuous-flow reactor
High-throughput synthesis of multi-element alloy nanoparticles (MEA NPs) is essential for accelerating the discovery of advanced materials with complex compositions. Herein, we developed an automated continuous-flow reactor system capable of synthesising a wide variety of MEA NPs under controlled solvothermal conditions (up to 400 °C and 35 MPa). The system demonstrates a high screening throughput, capable of preparing up to 20 distinct samples in a single, automated run, with each synthesis requiring only 30 minutes. A key throughput optimising feature is the parallel process execution, whereby precursor preparation and system cleaning are performed concurrently the reactor heating, synthesis, and cooling cycles. All washing procedures, for both the precursor preparation module and reactor unit, are fully automated, further minimising downtime. We demonstrated its versatility by successfully synthesising a wide range of MEA NPs, including high-entropy alloys, composed of various combinations of d- and p-block metals. The synthesized materials, ranging from bimetallic RuPd to ten-element CoNiCuRuRhPdInSnIrPt alloys, were all crystalline, single-phase face-centred cubic solid solutions. Furthermore, the platform enables the direct one-step synthesis of supported MEA catalysts, such as RuRhPdIrPt/CeO. For this supported catalyst, we achieved a practical mass throughput with a theoretical production rate of 0.5 g h for the MEA NPs (corresponding to 27 g h for the total catalyst including the support). The final product yield was approximately 56% under the current protocol, which is designed to prevent cross-contamination by automatically discarding the initial and final portions of the product slurry. We anticipate this yield can be readily improved in a system configuration optimized for mass throughput rather than for high-throughput screening. This study presents a scalable and versatile system for high-throughput MEA NPs synthesis and offers a practical solution for bridging the gap between computational predictions and experimental materials development.
Optical responses from high-entropy alloys: experimental results and perspectives
High-entropy alloys (HEAs) combine five or more elements in near-equiatomic ratios, opening an immense compositional space whose optical behaviour is still largely unknown. Phase-modulated ellipsometry on bulk CrMnFeCoNi (Cantor) shows that its intrinsic optical constants, , , and , deviate strongly from the arithmetic means of the constituent elements-by up to a factor of two beyond 1 μm-yet the derived functional responses, reflectance and absorption coefficient , are reproduced to within ∼20%. Cantor nanoparticles have been produced by nanosecond electric discharges in liquid nitrogen. Dark-field spectroscopy and Mie calculations reveal a dominant scattering mode near 100 nm that red-shifts and broadens with increasing size; the steady-state photothermal rise calculated from the absorption cross-section falls between those of the constituent pure metals. Generalising the averaging rule, we compute proxy values of and for 10 994 density-functional-theory-predicted HEAs. Successive optical, thermal and resource filters condense the space to 58 candidates at 355 nm and eight refractory alloys at 1064 nm, illustrating a "sustainable-by-design" route for future HEA photonics.
Nanocrystalline CoMnFeNiGa high entropy alloys: room temperature ferromagnetism bridging the gap from bulk to nano
Nanocrystalline CoMnFeNiGa high entropy alloys (HEAs) were successfully synthesized and characterized across different length scales. Compositionally homogeneous single-phase FCC HEA micropowder particles with a nanocrystalline structure (∼8 nm) were produced by short-term (190 min) high energy ball milling (HEBM). These powders were subsequently used as precursors for fabricating dense HEA bulk by spark plasma sintering (SPS) and HEA nanoparticles (NPs) by laser fragmentation in liquids (LFL)-both synthesis routes are not achievable by direct processing of elemental powder blends. We show that the single-phase FCC CoMnFeNiGa HEA micropowder partially transforms into a BCC phase upon consolidation by SPS at 1073 K. As a result, the HEA bulk consists of a mixture of FCC and BCC phases. In addition, Mn-rich BCC precipitates (10-50 nm) were formed in both HEA phases. The LFL of HEA micropowder leads to a formation of HEA NPs with two morphologies (spheres and quasi-2D platelets with 5-10 nm thickness and 40-150 nm lengths) with FCC, BCC, and hexagonal structures (birnessite-type layered δ-MnO structure). All three nanocrystalline CoMnFeNiGa HEAs exhibit soft ferromagnetic behavior at RT with a saturation magnetization () of 19.5-33.5 A m kg for the micropowder and NPs, while the of HEA bulk is 2-4 times larger (88.8 A m kg). A short thermal treatment (1000 K, 30 s) significantly enhanced and increased the Curie temperature of the micropowder to 105.6 A m kg and 785 K, of the NPs to 46.9 A m kg and 850 K, and of the bulk material to 106 A m kg and 793 K. The coercivity increased threefold to 1.8 kA m only in NPs. Structure-property relationships in CoMnFeNiGa HEAs are herein systematically compared across all length scales, demonstrating that magnetic behavior can be effectively tuned by nanoscale structural control and rapid thermal treatment.
Optimising descriptors to correlate stability of C- or N-doped high-entropy alloys: a combined DFT and machine-learning regression study
Interstitial doping is a common approach to improve the mechanical or functional properties of high-entropy alloys (HEAs); their stability is usually predicted by a specific single descriptor. Herein, we consider six types of microstructure-based descriptor, seven types of electronic-structure-based local-environment descriptor and their combinations to predict the stability of the C- or N-doped VNbMoTaWTiAl (BCC) HEA, mainly using density functional theory (DFT) calculations. A machine-learning interatomic potential and Monte Carlo simulations were employed to verify the short-range order in the HEA. The microstructure-based descriptors include the composition of the first-, second-, and third-nearest neighbour shells (1NN, 2NN and 3NN), OctaDist distortion parameters (, , , ), the Voronoi volume () of the dopant, and the volume change of the unit cell after doping (Δ); the electronic-structure-based local-environment descriptors include the local potential (LP), the electrostatic potential (EP), the charge density (CHG), the electron localization function (ELF) at the vacant doping site, the d-band center (), the mean electronegativity (EN) of the 1NN shell around the dopant, and the Bader charge of the C or N dopants. For a single descriptor, the best correlation between the descriptor and the doping energy (indication of HEA stability) is found for 1NN with coefficient of determination () values of ∼51 or ∼61% obtained using the LOOCV (leave-one-out cross-validation) approach for C or N doping, respectively. After adding volume descriptor(s) into the linear regression model with the 1NN descriptor, increases to 72 and 76% for C and N doping, respectively. After further adding the electronic-structure-based EP descriptor, further increases to 75 and 80% for C and N doping, respectively, despite the poor correlation using a single volume descriptor. This study quantitatively combined and compared the independent contributions of different types of local-environment descriptors to the stability of the C- or N-doped HEA, demonstrating the importance of considering both key microstructure-based and electronic-structure-based local-environment descriptors using the regression models to achieve more accurate correlation of dopant stability in HEA; these combined approaches could be further applied to other materials systems, research fields and applications.
Hot-drawing ionic liquid-spun lignin-poly(vinyl alcohol) fibres increases strength and polymer alignment
Lignin is an attractive raw material for low-cost sustainable carbon fibres, however, the resulting mechanical properties require improvement before they can be implemented in composite applications. The mechanical properties of conventional polyacrylonitrile-derived carbon fibres depend critically on the molecular alignment induced in the polymer fibres by fibre drawing and on retention of the alignment during subsequent thermal treatments. In this study, alignment was induced in high lignin content fibres wet-spun from a low-cost ionic liquid water mixture by employing similar hot-drawing methods. 75/25 wt/wt% lignin-poly(vinyl alcohol) (lignin-PVA) fibres were continuously wet-spun from a 60/40 wt/wt% ,-dimethylbutylammonium hydrogen sulfate, [DMBA][HSO] water mixture, using deionised water used as the coagulant. Hot-drawn fibres with high draw ratios of up to 20 were generated at 180 °C. By careful selection of the initial extrusion diameter and the subsequent draw ratio, the influence of fibre diameter and draw ratio was systematically distinguished. The draw ratio was found to dominate the mechanical properties of the ductile precursor fibres, while the fibre diameter was more significant after stabilisation. The precursor fibres that experienced the highest draw ratios had tensile strengths of 235-249 MPa (up to four times higher than the undrawn lignin-PVA fibres) and tensile modulus of 7.5-8.2 GPa, while the fibre diameter was reduced from 64-106 μm to 15-23 μm. Wide-Angle X-ray Scattering (WAXS) studies showed that hot-drawing induced orientation and crystallisation of PVA at high draw ratios. The crystallisation and orientation of PVA was lost during the slow oxidative stabilisation at 250 °C, associated with a plateau at around 110 MPa tensile strength and 4 GPa tensile modulus for the stabilised lignin-PVA fibres, regardless of draw ratio. Improvements to the stabilisation aimed at retaining alignment are proposed.
Blending PHBV with P(3HB--4HB) for superior thermal stability, mechanical strength, and environmental degradation
Polyhydroxyalkanoates (PHAs) hold significant potential as sustainable alternatives to fossil-based plastics because of their bio-based origin and inherent biodegradability. Poly-3-hydroxybutyrate--3-hydroxyvalerate (PHBV) is a well-known commercial member of the PHA family characterized by good mechanical resistance and thermal behavior similar to that of some conventional polymers, such as polypropylene. However, its high crystallinity and fragility limit its application. Poly3-hydroxybutyrate--4-hydroxybutyrate (P(3HB--4HB)) is a new commercial copolymer containing a 4-hydroxybutyrate (4HB) segment that provides increased flexibility because of its amorphous phase. In this study, PHBV and P(3HB--4HB) were blended by extrusion, varying the percentage of P(3HB--4HB) to improve the PHBV properties without losing the PHA assets and potentializing the insertion of this biopolymer in the market. The results indicate that the impact energy required for fracture was increased in the polymer blends. These blends exhibited greater thermal stability than pure PHBV, with no significant changes observed in the melting and crystallization temperatures. Furthermore, blending was found to reduce shrinkage in injection-molded samples. The degradation in the soil increased with the highest P(3HB--4HB) content. Through 3D printing, it was observed that the blends led to an increase in the melt flow index and a reduction in warpage in the printed objects, thereby facilitating the processing of these materials. Consequently, incorporating P(3HB--4HB) into PHBV has emerged as a promising strategy to address the inherent limitations of PHBV. This approach not only enhances the mechanical properties and thermal stability but also improves the overall processability, thereby expanding the potential applications of this biopolymer blend.
Organosolv processing of Sitka spruce sawdust: large scale preparation of native-like lignin and lignin for valorisation
Sitka Spruce (SiS) dominates wood production in Scotland and represents an important source of wood in the UK. A systematic analysis of the lignin obtained from SiS sawdust using methano-, ethano-, butano- and isobutano-solv pretreatments was carried out. Detailed analysis of the resulting lignin using a range of methods (GPC, P after phosphitylation and HSQC NMR) and assessment of solvent costs enabled a comparison of the 4 pretreatment methods. The high quality of the lignin obtained reflects its stabilisation through alcohol incorporation at the α-position of the β-O-4 units. Scale up of the butanosolv pretreatment led to the controlled synthesis of a selectively oxidised form of the lignin (SiS lignin) on a relatively large scale. Additional insights into the detailed structure of lignin are presented. It is argued that this interesting, modified biopolymer may have significant potential for enhanced lignin valorisation.
Exploration of nanostructured high-entropy alloys for key electrochemical reactions: a comparative study for the solid solution systems Cu-Pd-Pt-Ru, Ir-Pd-Pt-Ru and Ni-Pd-Pt-Ru
Electrocatalysis is critical for mitigating climate change by providing green energy solutions, for hydrogen production by electrolysis of water implying high catalytic activity not only for hydrogen evolution but also for oxygen evolution as the counter reaction. Moreover, reactions such as oxygen reduction and nitrate reduction are of high importance in fuel cells or for environmental remediation. This study focuses on the exploration of electrocatalysts in the enormous composition spaces encountered in multinary materials like high-entropy alloys in the form of compositionally complex solid solutions. These provide paradigm-changing design principles for new electrocatalysts based on their tuneable surface atom arrangements resulting from their multinary composition. However, to master the combinatorial explosion problem of polyelemental catalysts, efficient exploration approaches need to be adapted. For this purpose, we present a comprehensive strategy to compare the electrocatalytic activity for different reactions in alkaline media, namely the oxygen evolution reaction (OER), oxygen reduction reaction (ORR), hydrogen evolution reaction (HER) and nitrate reduction reaction (NORR) over large compositional spaces in three multinary systems: Cu-Pd-Pt-Ru, Ir-Pd-Pt-Ru and Ni-Pd-Pt-Ru. To generate the necessary large and multidimensional experimental dataset, thin-film materials libraries were synthesised and analysed using high-throughput characterisation methods. This allows for a comparative overview over correlations between composition and electrocatalytic activity, considering also relevant information on crystal structure and surface morphology. Similarities and differences, trends, maxima and minima in electrocatalytic activity are revealed and discussed. Main findings include that for the OER IrPdPtRu exhibits the highest activity, exceeding any alloy of the other two systems by 51% (Ni-Pd-Pt-Ru) and 74% (Cu-Pd-Pt-Ru). For HER, IrPdPtRu surpasses any of its elemental constituents by 26% and maxima in other systems by 5% (Ni-Pd-Pt-Ru) and 23% (Cu-Pd-Pt-Ru). For the NORR, only a marginal increase of 4% was found between the most active measured alloy and the elemental constituent Cu. By comparing activity across systems, we demonstrate the tunability of electrochemical activity on compositionally complex solid solutions, achievable through variations in composition both within and across different material systems for four different reactions.
Computational insights into the corrosion behavior of NbTaMoW and NbTaMoWV high-entropy alloys in molten fluoride salts
Molten salt reactors (MSRs) expose structural materials to harsh conditions, such as elevated temperatures, corrosive fluoride salts, and substantial neutron irradiation. These factors contribute to intricate degradation processes, including radiation-induced defect development, void swelling, and corrosion. Refractory high-entropy alloys with a body-centered cubic structure provide noteworthy thermal stability and mechanical strength, making them excellent candidates for MSR application. This study explores the corrosion properties of NbTaMoW and NbTaMoWV in FLiBe molten salt density functional theory and molecular dynamics simulations. Analyses of electronic structure, including density of states and crystal orbital Hamilton population, shed light on interfacial bonding and charge distribution. NbTaMoW shows minimal d-band shifts and weak fluorine interaction, indicating enhanced oxidation resistance. Adding vanadium to form NbTaMoWV further diminishes oxidative vulnerability and stabilizes the electronic structure at the salt interface, suggesting superior corrosion resistance in molten salt conditions.
