Solution-processed graphene fibers are commonly fabricated by wet spinning of a liquid-crystalline (LC) graphene oxide (GO) dope, owing to the homogeneous aqueous dispersion of GO, strong hydrogen bonding, and nematic self-assembly. A straightforward route has thus been established for the formation of graphene fibers. However, during coagulation and subsequent chemical reduction, GO sheets consolidate into densely stacked fiber architectures, which often develop geometric non-uniformity due to anisotropic shrinkage during solvent exchange and reduction. Following chemical reduction, restacking and structural deformation occur, leading to the formation of large voids and ion-inaccessible volumes that reduce the ion-accessible surface area, thereby limiting their applicability in high-performance supercapacitors. Herein, deformation-free circular graphene fibers (GFs) are introduced via wet spinning using a hybrid ammonia-based graphene oxide (AGO)–reduced graphene oxide (rGO) composite dope. The AGO precursor preserves the intrinsic LC assembly characteristics of GO while offering improved dispersion stability and tunable intersheet interactions. The rGO component is engineered to retain stable aqueous dispersibility, enabling homogeneous co-dispersion with AGO sheets. Incorporation of rGO suppresses excessive LC-driven stacking and moderates solvent–coagulant exchange during extrusion, enabling rapid and homogeneous coagulation. In contrast to the layered architecture derived from conventional GO spinning, the rGO-rich hybrid fibers exhibit uniformly organized porous structures with effective pore sites. The mechanically rigid and chemically stable rGO forms a percolated structural framework that supports homogeneous electrical conductivity and mechanical strength while preserving high circularity with axial and radial uniformity. Consequently, the optimized AGO–rGO fibers exhibit enhanced electrical conductivity (567 S cm–1 after post-drawing) and improved electrochemical capacitance, demonstrating strong potential for high-performance fiber-shaped or wearable supercapacitors.

Graphene-reinforced aluminum (Gr/Al) nanocomposites offer exceptional mechanical properties for aerospace, automotive, and electronics applications. Precise estimation of their characteristics, including ultimate tensile strength (UTS) and Young’s modulus (YM), remains challenging due to complex atomic interactions and computational limitations of traditional methods. This study proposes a novel machine learning framework combining Molecular Dynamics (MD) simulations, Adaptive Fast Desensitized Kalman Filter (AFDKF), Diffusion Variational Graph Neural Network (DV-GNN), and Arctic Tern Optimizer (ATO) for efficient and accurate mechanical property prediction. Important variables such as graphene alignment, volume fraction, chirality, and ambient temperature are captured by the method. DV-GNN achieves a prediction accuracy of 99.9%, significantly outperforming existing ML models. The framework also demonstrates low error rates, fast computation, and scalability, providing a robust computational tool for intelligent design of high-strength, lightweight Gr/Al nanocomposites.

Boron and sulfur codoped graphene exhibits exceptional electrochemical sensing capabilities, representing a transformative advancement in the field of electrochemical detection. This study unveils the synergistic impact of boron and sulfur codoping in graphene (BSG) for pioneering nonenzymatic electrochemical sensing of dopamine (DA) and hydrogen peroxide (H₂O₂). The resulting BSG demonstrated enhanced electrochemical properties, including increased surface area, improved charge transfer kinetics, and abundant electroactive sites, making it highly efficient for electrochemical sensing of pharmaceutical compounds, DA and H₂O₂. BSG5/GCE electrode exhibited the best electrochemical behaviour towards DA and H2O2 with 1.98 nM and 1.06 μM within 0-100 μM and 1–10 mM wide linear detection ranges, respectively. High recovery rates ranging from 96.87% to 104.6% in real pharmaceutical samples of DA and H₂O₂, combined with excellent reproducibility, the sensor proves to be highly suitable for practical detection applications. The interaction between S and B atoms boosts charge transfer, improving the adsorption and sensing efficiency of DA and H2O2. Thus, these findings highlight the potential of BSG-based electrochemical sensors for bioanalytical and pharmaceutical applications.

Graphene oxide frameworks (GOFs) constitute a novel class of three-dimensional porous materials assembled by grafting molecular linkers onto graphene oxide sheets. Through careful selection of linker type, length, and concentration, as well as fine-tuning of reaction conditions, one can precisely modulate GOF porosity, surface area, thermal resilience, and electronic and mechanical performance. These versatile, tunable properties render GOFs highly attractive for a range of applications, including membrane desalination, gas capture, catalytic transformations, and biomedical uses. This review systematically examines contemporary advancements in GOF research, with an emphasis on innovative synthesis strategies, structure–property correlations, and emerging applications across multidisciplinary domains.

One of the primary problems with making a hydrogen economy work is finding a way to store hydrogen. This is especially true because existing materials have a trade-off between storage capacity, stability, and reversibility. Although numerous studies have investigated hydrogen adsorption on carbon-based materials, a comprehensive understanding of how surface functionalization modulates adsorption mechanisms is still lacking. This review addresses this knowledge gap by focusing on current developments in hydrogen storage using functionalized graphene as a model system to elucidate the general behavior of carbon-based materials.Graphene’s high surface area, low mass density, and chemical tunability make it an ideal reference platform compared to other storage media such as metal-organic frameworks (MOFs), which are often structurally fragile, and metal hydrides, which require high desorption temperatures. Insights derived from density functional theory (DFT) and DFT-based ab initio molecular dynamics (AIMD) simulations are emphasized. The effects of metal decoration, heteroatom doping, and defect engineering on hydrogen adsorption behavior are systematically evaluated. Among defect types, single-vacancy graphene shows more favorable hydrogen binding than Stone-Wales or double-vacancy structures. Metal decoration with elements such as lithium, magnesium, calcium, or palladium enhances adsorption capacity, although clustering remains a persistent challenge. Combined strategies, for example, nitrogen doping with lithium decoration, further improve gravimetric capacity and adsorption reversibility. AIMD simulations reveal that thermal stability and desorption dynamics strongly depend on material configuration and temperature. By positioning graphene as a model carbon platform, the review highlights how computational modeling can guide the design of highperformance hydrogen storage materials and identifies dual-functionalized graphene systems as particularly promising candidates for future applications.

The demand for energy storage devices with both high power and energy density has risen significantly because of growing global environmental concerns. Lithium metal capacitors (LMCs) have emerged as promising candidates for nextgeneration energy storage systems by addressing the low energy density limitations of conventional electric double-layer capacitors (EDLCs). However, lithium dendrite formation and volume expansion in lithium metal anodes pose major challenges, leading to performance degradation and safety risks. In this study, a three-dimensional nano-perforated graphene (3-D NPG) with SnO₂ composite as an advanced anode material for LMCs. The 3-D NPG improved electrochemical performance by offering a high surface area, reducing local current density, and mitigating volume expansion. Furthermore, the lithiophilicity of SnO₂ facilitated lithium deposition by effectively reducing the lithium nucleation overpotential. The composite exhibited the lowest lithium nucleation overpotential (39.44 mV), along with a superior rate capability and remarkable cycle stability, retaining 88.5% of its capacity after 10,000 cycles at 2 A/g. The improved lithium-ion transport and lithiophilicity of the composite significantly suppressed dendritic lithium growth, thereby enhancing the electrochemical performance of LMCs. These results demonstrate the potential of 3-D SnO₂/NPG as a next-generation anode material for high-performance energy storage applications.

Mn-based catalysts like hopcalite (Cu–Mn oxide) are widely studied for low-temperature CO oxidation, with efforts focused on enhancing their redox properties. Incorporating defect-free graphene as a support has shown promise in improving both structural and catalytic performance, making the development of scalable graphene-supported Cu–MnOx (Gr/Cu–MnOx) composites highly desirable. In this study, fluid flow control systems were effectively employed to produce exfoliated graphene sheets, which were subsequently utilized for synthesizing Gr/Cu–MnOx composite catalysts. The enhanced shear stress and mass transfer within the fluid flow system improved the textural properties of the composite catalysts, resulting in higher surface areas and pore volumes compared to those of the unmodified Cu–MnOx composite. The Gr/Cu–MnOx composite catalysts exhibited superior toluene removal performance, achieving a T90 value of 200 °C, surpassing the T90 value of 250 °C of the unmodified Cu–MnOx composite. Furthermore, the water resistance was assessed by evaluating the catalytic performance after exposure to 5 vol% water vapor. The presence of hydrophobic graphene in Gr/Cu–MnOx enhanced water resistance compared to that of unmodified Gr/Cu–MnOx.

Incorporating nanotechnology into cement composites significantly improves mechanical properties such as strength, toughness, and durability. Graphene, with high tensile strength and large surface area, shows great promise as a nanofiller, but its hydrophobicity complicates its dispersion in cement matrices. This study used a graphene-cellulose nanofiber (G@ CNF) hybrid filler to ensure a highly uniform dispersion within the cement microstructure. The hybrid filler acts as a bridge and efficiently fills voids within the matrix. The planar structure of graphene also provides nucleation sites for hydrated products, leading to a denser microstructure. The cement composite containing 0.01 wt.% graphene exhibited a compressive strength of 72.7 MPa, representing a 47.5% improvement over the plain cement. Furthermore, the resulting cement demonstrated enhanced water resistance compared to graphene oxide-reinforced-cement. This approach offers a cost-effective and sustainable way of producing high-strength, durable cement composite.

In this study, GNPs/FeCoNiCuAl particles synergistically reinforced aluminum matrix composites are developed by friction stir processing (FSP) to explore the effects of different GNPs contents (1, 3, and 5%) on the microstructure, mechanical performance, and wear resistance of the materials. The results show that the incorporation of GNPs affects the formation of the diffusion layer between the FeCoNiCuAl particles and the aluminum matrix. As the content of GNPs increases, the thickness and integrity of the diffusion layer between FeCoNiCuAl particles and aluminum matrix gradually decrease. In addition, the introduction of GNPs is beneficial in enhancing the proportion of high-angle grain boundaries in the composites, but the grain size of the specimen increases slightly to about 5.5 μm at a content of 5% GNPs. When the content of GNPs is 1%, the composites achieve the highest microhardness and the lowest specific wear rate (0.1459 × 10⁻⁶ mm3/ N·m), with the wear mechanism dominated by abrasive wear. Nonetheless, when the GNPs content in the composite increases to 5%, the thickness and integrity of the diffusion layer are minimal, causing the tensile strength of the composite to be reduced to 250 MPa, and the specific wear rate increased to 0.4244 × 10– 6 ( mm3/N·m), with the wear mechanism transformed to abrasive–adhesive mixed wear. This study demonstrates that the appropriate ratio of GNPs and FeCoNiCuAl particles can effectively enhance the mechanical and wear resistance properties of aluminum matrix composites, providing a theoretical basis for the design and development of high-performance aluminum matrix composites.

This study explores the electrochemical modification of reduced graphene oxide (rGO) by incorporating 1,10-phenanthroline groups prior to the electrodeposition of silver nanoparticles (Ag NPs), aiming to enhance the performance on the oxygen reduction reaction (ORR). The introduction of 1,10-phenanthroline onto the rGO surface significantly improved its ability to coordinate metallic cations, compared to unmodified rGO. This enhanced coordination capacity led to a more efficient deposition of Ag NPs. Notably, increasing the amount of 1,10-phenanthroline groups grafted onto the rGO further boosted the number of deposited Ag NPs, substantially improving ORR performance. These results demonstrate that increasing the number of coordination units on rGO sheets prior to metal incorporation can significantly enhance the electrocatalytic efficiency of the resulting nanocomposites. This work emphasizes the importance of functionalizing rGO surfaces to optimize their catalytic properties for energy conversion and storage applications. This modification of rGO also paves the way for broader potential applications across various fields.

Recent advancements in 2D graphene materials highlight their versatile applications in electronics, clean energy, medicine, and other fields due to their exceptional properties and ease of fabrication. The current study investigates the preparation of reduced graphene oxide (RGO) through the thermal exfoliation of graphite oxide under an air atmosphere at varying temperatures (200–500 °C) and further examines its suitability as an anode for lithium-ion (Li-ion) batteries. The extent of reduction of functional groups, exfoliation, and other physical changes is analyzed by XRD, SEM, XPS, BET, and Raman studies, which show that the reduction of functional groups and surface area increases with increasing exfoliation temperature. The RGO electrodes are subjected to electrochemical studies, including cyclic voltammetry and charge–discharge cycling at various current densities, which demonstrate varying discharge capacities for RGO samples prepared at different temperatures. The RGO exfoliated at 400 °C delivered the maximum capacity, indicating that this temperature is optimal for the thermal preparation of RGO. This material shows potential for use as an anode in Li-ion batteries.

Graphene materials show great potential in the field of supercapacitors, but their tendency to agglomerate leads to a significant decrease in performance. Herein, manganese dioxide intercalated graphene oxide precursor was prepared using the modified Hummer method. During pyrolysis, manganese dioxide can not only act as a separator to prevent graphene aggregation but also undergo redox reactions with graphene to obtain oxygen-rich mesopore graphene (OMG). Benefiting from the mesoporous structure and abundant oxygen-containing functional groups, the OMG-600 electrode shows a specific capacitance of 248.67 F g− 1 at 0.5 A g− 1 and good electrochemical stability (92.25% capacitance retention after 10,000 cycles). Moreover, the assembled OMG-600//OMG-600 symmetric supercapacitor delivers an energy density of 17.69 Wh kg− 1 and superior electrochemical stabilization in 1 M Na2SO4 electrolyte.

With high redox activity, superior conductivity, abundant pores, and large specific surface area, nitrogen-doped graphitic carbon featuring a hierarchically porous structure is regarded as ideal electrode material for supercapacitors. In this work, hierarchically porous nitrogen-doped graphitic carbon (PG-PZC50) was fabricated via non-solvent induced phase separation and high-temperature calcination processes. SEM images showed its three-dimensional network structure, with abundant macro- and mesopores distributed throughout. XRD and Raman spectra confirmed the phase purity and graphitic nature of the as-prepared material, while XPS revealed its surface elemental composition, especially the content and doping states of nitrogen atoms. The graphene oxide-induced three-dimensional network, combined with the mesoporous structure of metalorganic framework-derived N-doped carbon particles, creates abundant migration channels and a large adsorption surface area for the electrolyte ions. Benefiting from its hierarchically porous structure and high nitrogen-doping content, the formed PG-PZC50 reached high specific capacitances of 499.7 F g− 1 at 0.1 A g− 1 and 179.6 F g− 1 at 20 A g− 1. Notably, the material also demonstrated robust cyclic stability with no capacitance loss after 10,000 charge–discharge cycles. The proposed synthetic strategy provides new ideas for the facile and reproducible construction of nitrogen-doped graphitic carbon with 3D hierarchically porous structure and high capacitive performances.

With the increasing demand for flexible electronic devices, smaller and lighter flexible supercapacitors have gained significant research attention. Among the various materials, self-supporting reduced graphene oxide (rGO) paper has emerged as one of the most promising electrode materials for supercapacitors due to its low cost, high chemical/thermal stability, and excellent electrical conductivity. Nevertheless, a major drawback of rGO paper is the limited ion diffusion between stacked rGO layers, hindering the effective formation of electrochemical double-layer at the electrode/electrolyte interface. In this study, we prepared the rGO paper derived from ball-milled followed-by water oxidation process for reducing the sheet size. The smaller-sized rGO sheets facilitated ion transport between graphene layers, promoting efficient electric double-layer formation. Moreover, the increased presence of edge planes in ball-milled rGO sheets achieved high capacitance, further enhancing the performance of rGO as an electrode material. Notably, the 2-BMOX rGO paper obtained from ball-milling and wet-oxidized graphite exhibited a capacitance of 117.9 F/g in cyclic voltammetry (CV) and 128.6 F/g in galvanostatic charge–discharge (GCD) tests, approximately twice that of conventional rGO. Additionally, the capacitance retained 91% of its initial performance after 2,000 cycles, indicating excellent cycling stability.

Improving the oxygen evolution reaction (OER) performance or replacing OER with the value-added conversion of biomass is of great significance for the green hydrogen energy production. In this work, bimetallic species-decorated laser-induced graphene (LIG) was fabricated and demonstrated as the self-supported electrodes towards efficient OER and 5-hydroxymethylfurfural oxidation reaction (HMFOR). Three-dimensional LIG was obtained via one-step irradiation process under ambient conditions, and active metal species were then introduced through electrodeposition, with Ni-based catalyst as the primary catalytic material and Fe and Co as modified metals. Among, LIG-NiFe electrode achieved an extremely low overpotential of 241.7 mV at a current density of 20 mA/cm2 for OER and demonstrated long-term stability. This could be attributed to the promoted formation of Ni3+ active centers by Fe modified and the intrinsic porous structure of LIG providing an enhanced surface area. As for LIG-NiCo, due to the low onset potential of Co for HMF, it could achieve 99.6% HMF conversion and yielded value-added 2, 5-furandicarboxylic acid (FDCA) with a selectivity of 87.1%. Coupled with the merit of facile fabrication of LIG framework, this study demonstrates that LIG-based electrodes assume great practical application value in electrocatalytic reactions.

A flexible heater with high thermal efficiency and mechanical durability was developed by fabricating laser-induced porous graphene (LIPG) electrodes on polyimide films using a 532 nm green laser. Laser power, scan speed, and line distance were precisely optimized based on photothermal simulations to generate uniform porous graphene structures with large surface area and excellent heat dissipation characteristics. Raman, X-ray diffraction, and X-ray photoelectron spectroscopy analyses confirmed that the optimized LIPG exhibited highly graphitized features with low oxygen defects. Scanning electron microscope analysis revealed that porous morphologies formed only within a specific laser scan speed range, whereas excessive or insufficient irradiation resulted in collapsed or absent porosity. The serpentine-patterned LIPG heater maintained stable electrical resistance under repeated multidirectional bending, demonstrating excellent flexibility and mechanical stability. The heater also achieved rapid and uniform heating up to 80 °C within seconds, maintaining consistent temperature distribution even on curved surfaces.

본 논문은 그래핀 혈소판(GPL)으로 보강되고 내부 균열을 가진 원통 복합 구조물에 대한 임계 좌굴하중의 수치적 고찰을 다루고 있다. 임계 좌굴하중을 정확하게 평가하기 위해 이차원 자연요소법(NEM) 기반으로 개발한 효과적인 위상필드 균열모델을 제시하였 다. 그래핀 혈소판은 두께방향으로 특정한 기능적 분포패턴으로 원통형 구조물에 삽입되어 있다. 수치적으로 균열의 존재를 표현하 는 전통적인 절점분리 기법은 모델링의 번거로움은 물론 수치적 불안정성을 야기할 수 있다. 이러한 문제점을 극복하기 위해 본 논문 에서의 위상필드 정식화에서는 수치 그리드의 복잡한 작업 없이 위상 필드를 도입하여 균열을 표현하였다. 개발된 수치기법의 안정 성과 신뢰성은 그리드 밀도에 따른 수렴성과 참고문헌과의 비교를 통해 입증하였으며, 그래핀이 보강된 원통 복합재의 좌굴특성을 관련된 주요 인자들에 따른 파라메트릭 수치실험을 통해 고찰하였다.

본 연구에서는 그래핀 나노플레이트(GNPs)가 혼입된 모르타르의 기계적 및 전기적 특성을 보통 포틀랜드 시멘트(OPC)와 비교하여 체계적으로 분석하였다. 시멘트 대비 0.1 wt.%의 GNPs를 첨가한 결과, 28일 양생 시 압축강도가 약 12% 증가하였으며, 7일 초기 재령에서 휨강도는 약 50% 향상되었다. 또한 GNPs가 혼입된 모르타르는 연속적이고 균일한 전도성 네트워크를 형성하여, OPC에 비해 약 49% 높은 전기전도도를 나타냈다. 열중량-미분열중량(TG–DTG) 분석 결과, GNPs의 도입이 핵생성 부위를 증가시키 고 C–S–H(Calcium Silicate Hydrate) 구조 생성을 촉진함으로써 시멘트의 수화 반응 속도를 향상시키는 것으로 확인되었다. 이러한 결과는 GNPs가 수화 반응 촉진과 미세균열 가교(micro-crack bridging) 역할을 통해 모르타르의 기계적 특성을 개선함과 동시에, 재료를 반도전성 복합체(semi-conductive composite)로 전환시킨다는 것을 보여준다.

본 연구에서는 과불화 알킬 사슬이 도입된 산화 그래핀(perfluoroalkyl-grafted graphene oxide, FGO)을 합성하고, 이를 과불소화계 고분자인 나피온(Nafion)에 복합화하여 바나듐 레독스 흐름 전지(vanadium redox flow battery, VRFB)용 이 온 교환 막을 개발하고자 하였다. FGO는 염기성 촉매 하에서 카르복실산기를 함유한 폴리(헥사플루오로프로필렌 옥사이드) (157 FSL, DuPont)의 카르복실산기와 GO의 에폭시기 간 개환 에스터화 반응을 통해 합성하였다. 합성된 FGO를 Nafion 기 지체에 함량을 달리하여 첨가한 복합막(N/FGO_X)을 제조하고, 함수율, 체적 안정성, 수소 이온 전도도, 바나듐 이온 투과도 및 셀 성능을 평가하였다. N/FGO 복합막은 Nafion 단일막 대비 낮은 함수율과 체적 변화율을 보였으며, FGO의 물리적 차단 효과에 의해 바나듐 이온 투과도가 감소하면서도 수소 이온 전도도를 유지하여 우수한 이온 선택도를 나타내었다. VRFB 단 위 셀 평가 결과, FGO가 도입된 복합막은 Nafion 단일막을 적용한 셀 대비 높은 방전 용량, 쿨롱 효율 및 에너지 효율을 유 지하였다.

Laser-induced graphene (LIG) has emerged as a promising carbon nanomaterial platform owing to its scalability and tunable surface properties. Although its electrical and structural characteristics have been widely explored, the precise modulation of the surface energy remains challenging, particularly in ultrathin configurations. In this study, we investigated the wetting behavior of an ultrathin LIG synthesized from a fluorinated polyimide (F-PI) thin-film precursor using ultraviolet (UV) laser irradiation. Systematic variations in laser exposure induced morphologic transitions from hierarchical porous networks to compact planar structures, accompanied by changes in the chemical composition, including fluorine depletion and oxygen incorporation. These combined effects result in a broad range of wetting behaviors, including superhydrophobicity and hydrophilicity. Remarkably, LIG produced under single irradiation exhibited a rose-petal-like wetting state characterized by a high contact angle and strong droplet adhesion, a phenomenon not previously reported in LIG systems. This work elucidates the interplay between laser-induced nanostructuring and surface chemistry in governing wetting behavior and establishes a controllable strategy for fabricating functional carbon surfaces for applications in microfluidics, selective adhesion, and water-repellent coating technologies.