Innovative Materials Research Articles

Synthesis of biobased poly(ether-ester) from potentially bioproduced betulin and p-coumaric acid

For a more sustainable future, innovative polymer materials synthesized from biobased molecules are currently a key trend, in the frame of the bioeconomy. In this study, new renewable macromolecular architectures poly(ether-esters) has been synthesized from betulin and para-coumaric acid, two plant-based building blocks, poorly valorized till now, and potentially bioproduced by white biotechnologies. To date, these are the first synthesized polymers with such a reported architecture. In a first step, different chemical modifications were carried out on these biomolecules to increase their reactivities. Betulin hydroxyl groups were esterified with aliphatic acids of carbon chain lengths C6, C8 and C10 terminated by a bromine, with good yields (79–85%). P-coumaric acid was dimerized by [2 + 2] cycloaddition, and then esterified with ethanol, butanol or isobutanol with excellent yields (92–96%). These modified building blocks were finally copolymerized by Williamson polyetherification reaction, leading to various analogous materials with molar masses ranging from 9700 to 15500 g mol−1. Different thermal characterizations have been then performed. TGA results show that these poly(ether-esters) displayed high thermal stabilities (up to 336 °C). Besides, DSC analyses revealed Tg ranging from 38 to 81 °C, depending on the length of the aliphatic carbon chain and the nature of the pendant ester groups for a large range of potential applications.

The Research About Anode Material for Sodium-Ion Batteries

Sodium-ion batteries are replacing lithium-ion batteries due to their lower cost and more abundant resources. The sodium-ion battery anode, including carbon-based materials, alloy materials, and organic materials, plays a key role in improving battery performance but also faces problems such as poor conductivity, which limits sodium storage capacity attenuation and irreversible volume expansion. To solve these problems, researchers have proposed a variety of solutions, such as chemical activation, element doping, micro-nanostructure design, composite material preparation, surface coating application, and buffer medium introduction. This article summarizes these strategies and points out the direction of future research, including the development of innovative anode materials with better conductivity and sodium storage capacity, and improved manufacturing processes. Further research and development of sodium-ion batteries anode is expected to make important contributions to the new energy field.

The Role of Hydrogen in Achieving Sustainable Energy Systems: Challenges and Opportunities

Hydrogen has emerged as a crucial element in the pursuit of sustainable energy solutions due to its versatility and its ability to combust without emitting greenhouse gases. This research examines hydrogen's multifaceted role as an energy carrier, emphasizing its methods of production, storage, and utilization. Recent technological advancements, such as enhanced electrolysis efficiency and innovative storage materials, are explored to tackle existing challenges such as high production costs and energy inefficiencies. Case studies in transportation, industrial applications, and power generation illustrate hydrogen's potential to significantly reduce carbon emissions, supporting global decarbonization endeavors. Strategic investments and supportive policies are identified as an essential to fully capitalize on hydrogen's capabilities, emphasizing the necessity for ongoing innovation and cross-sector collaboration to achieve a sustainable, decarbonized energy future. With the increasing attention of the whole society to climate change, hydrogen energy will play an increasingly important role in creating a green and low-carbon world.

Exploring alternative polymer materials for joint liners: a software-guided material selection

This study explores the alternative polymer materials and selection process for joint implant liners, focusing on applying CES Selector software to identify suitable polymer materials. CES Selector provides an easy-to-use interface. It offers multiple selection methods, including boundary values and property constraints. Seven materials were excluded from the analysis, resulting in 19 potential candidates, including unconventional options like EVOH, PCTA, PESU, PI, PPA, PPC, PPSU, and PSU. The materials underwent evaluation based on key criteria, including tensile strength, Young’s modulus, compressive strength, fatigue strength, and fracture toughness. Overall, TPU exhibited a remarkable combination of high mechanical strength and adaptable Young’s modulus, making it a top contender. However, in other evaluation criteria, PI surpassed TPU, solidifying its potential as a superior choice. This systematic approach provides valuable insights for engineers and designers seeking innovative materials for joint implant liners. The study results broaden the range of materials used in implant manufacturing, providing potential alternatives that offer better long-term durability and performance.

Smart Dental Materials: Unravelling the Exciting Future of Dentistry

Dental materials have changed significantly over the years, with new materials being developed and introduced at a rapid pace. Smart materials are used in dentistry because of their excellent biocompatibility and ability to respond to physiological changes and local environmental stimuli to protect the teeth and promote oral health. Smart dental materials change one or more of their characteristics in response to inputs. They actively contribute to the functionality of the structure or apparatus. Smart materials are an answer to the requirement of environment-friendly and responsive materials. Smart materials are a new generation of materials which hold a good promise for the future in the field of bio‑smart dentistry. They offer significant possibilities, but considerable research is required in this field of material science. It is the need of the hour that all dentists should be aware of these innovative materials to enable their use and utilize their optimal properties in day-to-day practice to provide quality and effective holistic treatment. The objective of this article is to shed light and improve understanding on the various bioactive and smart materials being used in dentistry today and to provide a perspective on the exciting future of these smart dental biomaterials.

Tailoring Natural and Fly Ash-Based Zeolites Surfaces for Efficient 2,4-D Herbicide Adsorption: The Role of Hexadecyltrimethylammonium Bromide Modification

Global development has led to the generation of substantial levels of hazardous contaminants, including pesticides, which pose significant environmental risks. Effective elimination of these pollutants is essential, and innovative materials and techniques offer promising solutions. This study examines the modification of natural zeolite (clinoptilolite) and fly ash-based NaA and NaX zeolites with hexadecyltrimethylammonium bromide (CTAB) to create inexpensive adsorbents for removing 2,4-dichlorophenoxyacetic acid (2,4-D) herbicide from water. Detailed characterization of these materials was performed, along with an evaluation of the effects of pH, contact time, temperature, and initial 2,4-D concentration on their sorption capacities. The modified samples exhibited significant changes in elemental composition (e.g., reduced SiO2 and Al2O3 content, presence of Br) and textural properties. The adsorption of the pesticide was found to be an exothermic, spontaneous process of pseudo-second-order kinetics and was consistent with the Langmuir model. The highest sorption capacities were observed for samples modified with 0.05 mol L−1 CTAB, particularly for CliCTAB-0.05.

Historical Evolution and Current Developments in Building Thermal Insulation Materials—A Review

The European Climate Law mandates a 55% reduction in CO2 emissions by 2030, intending to achieve climate neutrality by 2050. To meet these targets, there is a strong focus on reducing energy consumption in buildings, particularly for heating and cooling, which are the primary drivers of energy use and greenhouse gas emissions. As a result, the demand for energy-efficient and sustainable buildings is increasing, and thermal insulation plays a crucial role in minimizing energy consumption for both winter heating and summer cooling. This review explores the historical development of thermal insulation materials, beginning with natural options such as straw, wool, and clay, progressing to materials like cork, asbestos, and mineral wool, and culminating in synthetic insulators such as fiberglass and polystyrene. The review also examines innovative materials like polyurethane foam, vacuum insulation panels, and cement foams enhanced with phase change materials. Additionally, it highlights the renewed interest in environmentally friendly materials like cellulose, hemp, and sheep wool. The current challenges in developing sustainable, high-performance building solutions are discussed, including the implementation of the 6R principles for insulating materials. Finally, the review not only traces the historical evolution of insulation materials but also provides various classifications and summarizes emerging aspects in the field.

Performance of uncertainty-based active learning for efficient approximation of black-box functions in materials science.

Obtaining a fine approximation of a black-box function is important for understanding and evaluating innovative materials. Active learning aims to improve the approximation of black-box functions with fewer training data. In this study, we investigate whether active learning based on uncertainty sampling enables the efficient approximation of black-box functions in regression tasks using various material databases. In cases where the inputs are provided uniformly and defined in a relatively low-dimensional space, the liquidus surfaces of the ternary systems are the focus. The results show that uncertainty-based active learning can produce a better black-box function with higher prediction accuracy than that by random sampling. Furthermore, in cases in which the inputs are distributed discretely and unbalanced in a high-dimensional feature space, datasets extracted from materials databases for inorganic materials, small molecules, and polymers are addressed, and uncertainty-based active learning is occasionally inefficient. Based on the dependency on the material descriptors, active learning tends to produce a better black-box functions than random sampling when the dimensions of the descriptor are small. The results indicate that active learning is occasionally inefficient in obtaining a better black-box function in materials science.

Shrinking Cancer Research Barriers: Crafting Accessible Tumor‐on‐Chip Device for Gene Silencing Assays

Tumor‐on‐chip (ToC) is crucial to bridge the gap between traditional cell culture experiments and in vivo models, allowing to recreate an in vivo‐like microenvironment in cancer research. ToC use microfluidics to provide fine‐tune control over environmental factors, high‐throughput screening, and reduce requirements of samples and reagents. However, creating these microfluidic devices requires skilled researchers and dedicated manufacturing equipment, making widespread adoption cumbersome and difficult. To address some bottlenecks and improve accessibility to ToC technology, innovative materials and fabrication processes are required. Polystyrene (PS) is a promising material for microfluidics due to its biocompatibility, affordability, and optical transparency. Herein, a fabrication process based on direct laser writing on thermosensitive PS, allowing the swift and economical crafting of devices with easy pattern alterations, is presented. For the first time, a device for cell culture fabricated only by PS is presented, allowing customizing and optimization for efficient cell culture approaches. These biochips support 2D and 3D cultures with comparable viability and proliferation kinetics to traditional 96‐well plates. The data show that gene and protein silencing efficiencies remain consistent across both chip and plate‐based cultures, either 2D culture or 3D spheroid format. Although simple, this approach might facilitate the use of customized chip‐based cancer models.

Exploratory Analysis on the Physical and Microstructural Properties of Aluminum/Fly-Ash Composite

Metal Matrix Composite (MMC) is an innovative material that has the ability to address demands in a number of industries, including mining, automotive, and aerospace. Stir casting is a well-known technique for making MMC. With weight fractions of 10%, 20%, 30%, and 40%, this study aims to analyze the impact of fly ash addition on the physical properties of aluminum (matrix) - FA (reinforcing phase) composites.The test for water absorbent was carried for each samples at 25°C immersed in water at different time interval of 24hrs, 48hrs, 72hrs, and 96hrs. The density test was carried out on the AL/FA composite samples. The water absorption test results showed that at 20wt% of fly ash composite, the optimum water absorption (0.4%) result was obtained at 24hrs, and also at 48hrs for 10wt%. The density of the composites increased with increasing amount of fly ash, and attained optimum of 4.08g/cm3 at 30wt%. The surface morphology of the samples was observed using digital metallurgical microscope. The scope of this study is to determine the physical and morphological properties of Al/FA reinforced composites.

Insights From the ISASS Webinar Series on Current and Emerging Techniques in Endoscopic Spine Surgery | Part 1: Polytomous Rasch Analysis of Surgeon Endorsement of Endoscopic Discectomy/Foraminotomy, Interbody Fusion, and Importance of Patient Feedback During Surgery.

The International Society for the Advancement of Spine Surgery hosted the first of a series of 4 webinars on endoscopic spine surgery techniques, focusing on end§oscopic discectomy, foraminotomy, instrumented endoscopic fusion, standalone lumbar interbody fusion with innovative materials, and the role of patient feedback in awake procedures. This series aims to share knowledge and discuss the complexities and clinical evidence of modern endoscopic spine surgery. To analyze the level of surgeon endorsement for the presented endoscopic spine surgery techniques before and after the webinar, utilizing polytomous Rasch analysis, and to evaluate the potential for these insights to inform clinical guideline recommendations. A survey was available to 1311 potential respondents during the Zoom webinar, collecting data on surgeon endorsements using a Likert scale. The polytomous Rasch model was employed to analyze responses, considering the complexity of decisions against surgeon expertise, developing a logarithmic measurement scale, allowing objective statistical analysis of categorical variables, highlighting incongruent or out-of-order items vs congruent and in-order items, and driving improvement in clinical guidelines. All 4 topics received higher confidence ratings demonstrated by descriptive statistics, highlighting the webinar's effective role in surgeon education and in identifying ongoing trends in spine surgery. The logarithmic transformation of these data during Rasch analysis showed noticeable shifts in surgeon confidence levels postwebinar, with increased endorsement for transforaminal full-endoscopic thoracolumbar interbody fusion for hard disc herniation and standalone endoscopic lumbar interbody fusion. The Wright plot and person-item map analyses demonstrated that the webinar effectively targeted areas of initial low confidence, significantly impacting surgeons' perceptions. Disordered endorsement thresholds remained in the topics of uniportal transforaminal discectomy/foraminotomy and patient feedback during endoscopic spine surgery, indicating issues in response category discrimination or confounding factors not captured by the survey. Ongoing controversies were highlighted by the influence of confounding factors, stemming from preconceived notions and limited familiarity with high-grade evidence. The first in the 4-part webinar series effectively shifted professional confidence and acceptance of innovative surgical approaches among spine surgeons. Observations indicated a high level of interest in applying the endoscopic surgery platform with other advanced technologies. The polytomous Rasch analysis provided nuanced insights into ongoing trends and areas in need of further clarification. Assessing surgeon confidence and acceptance of endoscopic spinal surgeries using polytomous Rasch analysis. Level 2 (inferential) and 3 (observational) evidence because Rasch analysis provides statistical validation of instruments rather than direct clinical outcomes.

Nanomaterials for Flexible Neuromorphics.

The quest to imbue machines with intelligence akin to that of humans, through the development of adaptable neuromorphic devices and the creation of artificial neural systems, has long stood as a pivotal goal in both scientific inquiry and industrial advancement. Recent advancements in flexible neuromorphic electronics primarily rely on nanomaterials and polymers owing to their inherent uniformity, superior mechanical and electrical capabilities, and versatile functionalities. However, this field is still in its nascent stage, necessitating continuous efforts in materials innovation and device/system design. Therefore, it is imperative to conduct an extensive and comprehensive analysis to summarize current progress. This review highlights the advancements and applications of flexible neuromorphics, involving inorganic nanomaterials (zero-/one-/two-dimensional, and heterostructure), carbon-based nanomaterials such as carbon nanotubes (CNTs) and graphene, and polymers. Additionally, a comprehensive comparison and summary of the structural compositions, design strategies, key performance, and significant applications of these devices are provided. Furthermore, the challenges and future directions pertaining to materials/devices/systems associated with flexible neuromorphics are also addressed. The aim of this review is to shed light on the rapidly growing field of flexible neuromorphics, attract experts from diverse disciplines (e.g., electronics, materials science, neurobiology), and foster further innovation for its accelerated development.

Hymenoptera and biomimetic surfaces: insights and innovations.

The extraordinary adaptations that Hymenoptera (sawflies, wasps, ants, and bees) exhibit on their body surfaces has long intrigued biologists. These adaptations, which enabled the immense success of these insects in a wide range of environments and habitats, include an amazing array of specialized structures facilitating attachment, penetration of substrates, production of sound, perception of volatiles, and delivery of venoms, among others. These morphological features offer valuable insights for biomimetic and bioinspired technological advancements. Here, we explore the biomimetic potential of hymenopteran body surfaces. We highlight recent advancements and outline potential strategic pathways, evaluating their current functions and applications while suggesting promising avenues for further investigations. By studying these fascinating and biologically diverse insects, researchers could develop innovative materials and devices that replicate the efficiency and functionality of insect body structures, driving progress in medical technology, robotics, environmental monitoring, and beyond.

Research Progress in Enhancing Proton Conductivity of Sulfonated Aromatic Polymers with ZIFs for Fuel Cell Applications

The escalating global temperatures and their adverse effects underscore the growing imperative for the widespread adoption of clean fuels, notably hydrogen. Proton Exchange Membrane Fuel Cells (PEMFC) emerge as a pivotal green energy technology, facilitating electricity and water generation. The optimization of PEMFC efficiency hinges on the judicious selection and fabrication of polymer membranes. Within innovative materials, Zeolitic Imidazolate Frameworks (ZIFs) represent a novel subclass within the expansive family of Metal-Organic Frameworks (MOFs). ZIFs exhibit promising potential in PEMFCs, owing to their distinctive properties such as a substantial contact surface, inherent porosity, and a sizable pore volume. This comprehensive review delves into composite membranes featuring ZIFs, shedding light on their chemical and thermal attributes. Additionally, the exploration extends to elucidating the diverse applications of ZIF compounds, accompanied by an in-depth discussion of selected chemical and thermal properties inherent to ZIF compounds. Incorporating ZIFs into various polymers yielded intriguing outcomes, demonstrating a notable enhancement in proton conductivity. The compilation of this review aims to provide researchers with foundational insights into the realm of ZIFs, serving as a valuable resource for future investigations and advancements in the field.

Designing the next generation of polymers with machine learning and physics-based models

Abstract The development of next-generation polymers necessitates optimizing several key properties simultaneously, a task that is expensive and infeasible using traditional trial-and-error experimental approaches. A promising alternative is employing a combination of machine learning and physics-based tools to rapidly screen the polymer design space and provide suggestions of new polymers that meet the critical properties required for industrial applications. In this study, we introduce a comprehensive workflow that utilizes machine learning and molecular modeling approaches to design new polymers with the focus on improving five polymer properties: (1) glass transition temperature, (2) dielectric constant, (3) refractive index, (4) stress optic coefficient, and (5) linear coefficient of thermal expansion. Using a small dataset ( < 200 unique polymers), we developed quantitative structure-property relationships (QSPRs) models to accurately predict the experimental polymer properties for both homo- and co-polymer systems. We tested several ML algorithms and identified the best models for predicting these polymer properties, achieving test set R 2 greater than 0.77 across all properties. We then explored new polymers by creating a library of over ∼10 000 homopolymers using R-group enumeration tools and applied the trained QSPR models to rapidly predict the five polymer properties. The predictions of QSPR models were used to create a multi-parameter optimization score, which helped downselect the large polymer space to ∼10 promising candidates. The properties of these selected polymer candidates were subsequently validated with classical molecular dynamics simulations and density functional theory, revealing a strong correlation with the QSPR model predictions. Finally, one of the top candidates was validated by experiments, which showed good agreement against QSPR and physics-based models. Our workflow underscores the power of combining data-driven and theoretical methods in the polymer design process given a small dataset size, offering a valuable resource for experimentalists looking to leverage computer-aided strategies in materials innovation.

Reversible Zn and Mn deposition in NiFeMn-LDH cathodes for aqueous Zn-Mn batteries.

Introducing NiFeMn-Layered Double Hydroxide (LDH) as an innovative cathode material for Zn-Mn batteries, this study focuses on bolstering the electrochemical efficiency and stability of the system. We explored the effect of varying Zn/Mn molar ratio in the electrolyte on the battery's electrochemical performance and investigated the underlying reaction mechanism. Our results show that an electrolyte Zn/Mn molar ratio of 4 : 1 achieves a balance between capacity and stability, with an areal capacity of 0.20 mA h cm-2 at a current of 0.2 mA and a capacity retention rate of 53.35% after 50 cycles. The mechanism study reveals that during the initial charge-discharge cycle, NiFeMn-CO3 LDH transforms into NiFeMn-SO4 LDH, which then absorbs Zn2+, Mn2+, and SO4 2- ions to form a stable composite substrate. This substrate enables the reversible deposition-dissolution of Mn ions, while Zn ions participate in the reaction continuously, with most Mn- and Zn-containing compounds depositing in an amorphous phase. Although further optimization is needed, our findings provide valuable insights for developing Zn-Mn aqueous batteries, highlighting the potential of LDHs as cathode substrates and the pivotal role of amorphous compounds in the reversible deposition-dissolution process.

A multifunctional and tough lotus root starch-based bio-photonic hydrogel for stretchable fabric pattern color change and water rewriting.

Photonic crystal hydrogels (PCHs) are innovative materials that translate imperceptible deformations and humidity changes into visible colors, broadening the applications of photonics in bioengineering and smart materials. To overcome poor mechanical properties of traditional PCHs limited by weak intermolecular forces, we designed a PCH with a dual-network framework comprising N-isopropylacrylamide-co-acrylamide (NIPAM-co-AM) and biomass lotus root starch (LR). Since LR is rich in hydroxyl groups, it can undergo molecular linkage entanglement with the NIPAM-co-AM hydrogel matrix, forming hydrogen bonds that significantly enhance the mechanical properties of the PCH. We have prepared PCH films capable of conveying multidimensional information about the extent and distribution of transient deformation by encapsulating magnetic photonic crystal microspheres (MPCMs) within a hydrogel matrix. The PCH films were found to have ultrafast response time (< 10 s), full-color tunable range, high spatial resolution, excellent mechanical toughness (tensile up to 0.17 MPa) and sensitivity (2.52 nm %-1), and were able to sense relative humidity (RH) from 11 % to 98 %. Equipped with a dynamically reconfigurable lattice, this dual-responsive (tensile/humidity) PCH not only facilitates the creation of water-rewritable photonic films but also holds promise for integration into structural color elastic fabrics, thereby presenting novel prospects for smart textile applications.

Enhancing the photovoltaic performance of dithienobenzodithiophene based polymer donors through backbone fluorination and radical polymer additives

Unveiling the corresponding relationship between the molecular architecture of organic semiconductor materials and the morphology within the active layer of the organic solar cells (OSCs) is essential for the innovation of novel optical materials and the refinement of device optimization strategies to overcome the bottlenecks in efficiency. In this work, three dithieno[3,2-b]benzo[1,2-b;4,5-b’]dithiophene(DTBDT)-alt-benzothiadiazole (BT) based polymer donors (PDTBDT-F-BT, PDTBDT-F-FBT, and PDTBDT-F-2FBT) with varying fluorine atom content within their acceptor segments were designed and synthesized, and the photovoltaic performances of these polymers when blended with Y6 were meticulously investigated. Incorporating fluorine atoms into the BT segment was observed to not only incrementally increase the optical bandgap, lower the HOMO energy level, and bolster the self-aggregation of the polymer, but also effectively reduce the surface energy of the resulting polymer, thereby altering the donor-acceptor (D-A) interfacial spacing and the phase separation in the blend films as illustrated by molecular dynamic simulations and morphology characterization. As a result, the OSCs fabricated using PDTBDT-F-FBT, which incorporates a single fluorine substitution in the BT unit, demonstrated the highest power conversion efficiency (PCE) of 9.92 %. More importantly, this blend film's morphology is likely to be more conducive to the incorporation of the radical polymer additive, GDTA. This has resulted in a notable reduction in voltage loss, ultimately achieving a higher PCE of 11.55 % for the PDTBDT-F-FBT:Y6 based OSCs. This research uncovered a synergistic impact of backbone fluorination and the incorporation of radical polymer additives, which contributed to reducing the energy loss and enhancing the efficiency of OSCs from DTBDT-based polymer donors.

Unveiling the untapped potential of Hibiscus Rosa-sinensis lignocellulosic fiber: A multifaceted characterization for advancing sustainable biocomposite applications

In the pursuit of sustainable advancements in bio-inspired fiber reinforced polymer composite materials, the exploration of novel natural fibers has become a focal point of research. This experimental study aims to elucidate the unexplored potential of Hibiscus Rosa-sinensis fiber (HRF) as a versatile reinforcement material for high-performance composites. Through an integrated approach, this research offers a meticulous analysis of the HRF's physico-chemical properties, and single fiber tensile strength. The crystalline structure are revealed by X-ray diffraction (XRD), thermal behavior are characterized through thermo-gravimetric analysis (TGA), and surface morphology has been visualized using field emission scanning electron microscopy (FESEM) studies. From the results, it is found that the HRF contains a cellulose content of 79.50 %, positioning it as a prime bast fiber among its counterparts. This composition is complemented by hemicellulose (10.36 %), lignin (4.62 %), wax (0.84 %), and ash (2.96 %). The Fourier-transform infrared spectroscopy (FTIR) spectra unveils the intricate functional groups present in the fibers. XRD analysis highlights a crystallinity index (CI) of 66.93 %, confirming a well-organized and structured crystalline arrangement. The thermal stability established through TGA underscores HRF's resilience up to 284 °C, presenting it is an optimal reinforcement material for bio-inspired green composites operating within 280 °C. The surface morphology of HRF is examined through FESEM and three-dimensional profiling, showcasing its inherent morphological intricacies. The multidimensional characterization provided herein contributes significantly to the evolving landscape of biocomposite research, fostering a platform for future advancements and innovations in HRF-based composite materials.

Influence of silica fume on pore structure, mechanical properties and carbon emission of reactive powder concrete prepared by ice crystal homogenization technology

Under ultra-low water-to-binder ratio conditions, the liquid-bridge effect between powders seriously restricts the development of reactive powder concrete (RPC). Ice crystal homogenization technology fundamentally solves the liquid-bridge problem between powders. However, high carbon emissions still constrain the application of RPC. This paper introduces an innovative RPC material incorporating silica fume (SF) as a supplementary cementitious material to solve environmental concerns and alleviate powder aggregation challenges based on the ice crystal homogenization technology. Experimental results show that there was a significant improvement in compressive and flexural strengths observed, particularly in RPC material containing 15% SF, which exhibited the most notable enhancements: a 19.7% increase in compressive strength to 296.3MPa and a 23.6% increase in flexural strength to 43.8MPa. Moreover, the optimized microstructure was reflected in a substantial reduction in water absorption rate and cumulative pore volume by 44.7% and 54.4%, respectively. Besides, RPC incorporating 15% SF achieved the lowest carbon emissions efficiency, with carbon emissions efficiency could be reduced by 79%~93% compared with conventional UHPC. In conclusion, the use of SF and ice crystal homogenization technology in RPC provides the great potential for developing sustainable construction materials and promoting carbon reduction strategies.