Breakthrough Chameleon MXene Promises Advanced 6G Communication and Next-Gen Batteries

Abstract Device-level performance in MXenes is dictated by architecture—planar nanosheets are optimal for electromagnetic interference (EMI) shielding, while scrolled structures enhance ion transport for energy storage—particularly when morphology is programmed at synthesis. Whether such architectures can be deterministically encoded through precursor stoichiometry remains unresolved. Here, we demonstrate that precise carbon stoichiometry control in Ti3AlCxO2-x MAX phases tunes internal lattice strain and thereby directs the emergent MXene architecture. Carbon-rich precursors (x = 1.94) yield strain-relieved, high-crystalline nanosheets with metallic conductivity (∼23 300 S cm−1), enabling ultrathin films with record-high EMI shielding performances across 8 µm) and robust W-band retention after 5,000 bending cycles (r = 2.5 mm). In contrast, carbon-deficient precursors (x = 1.71) introduce lattice compression and oxygen substitution, triggering spontaneous scrolling upon delamination. The resulting nanoscrolls offer exceptional ion accessibility, achieving 657 F g−1 at 2 mV s−1 with 99.4% retention over 12 000 cycles. This stoichiometry-programmed approach establishes a synthesis-stage lever linking MAX chemistry to MXene architecture and function, enabling application-specific architecture design within established MAX/MXene synthesis and solution-processing workflows for next-generation electronics and energy storage. Researchers at UNIST have discovered a simple way to control MXene’s structure by adjusting the carbon content in its precursor. This breakthrough enables the creation of tailored MXene materials optimized for high-frequency electromagnetic interference (EMI) shielding and rapid energy storage. MXene, a two-dimensional material composed of metal and carbon layers, is celebrated for its excellent electrical conductivity and adaptability. Its potential spans batteries, sensors, and flexible electronics. With the rise of 6G technology and advanced radar systems, shielding devices against high-frequency interference has become critical. At the same time, the demand for quick, reliable energy storage continues to grow. Led by Professor Soon-Yong Kwon from the Graduate School of Semiconductor Materials and Devices Engineering and Professor EunMi Choi from the Department of Electrical Engineering, the team showed that changing the carbon content in MAX precursors influences how MXene forms during synthesis. This control method results in two distinctly different structures. When using carbon-rich precursors, the process yields flat, highly crystalline nanosheets that exhibit excellent electrical conductivity, effective electromagnetic shielding at 100 GHz, and maintain flexibility and durability under repeated bending. Conversely, employing carbon-deficient precursors induces the spontaneous formation of nanoscrolls, which significantly enhance ion transport. These nanoscroll structures enable high-capacity energy storage, achieving a capacitance of 657 F/g and a cycle life exceeding 12,000 cycles. This work confirms that simple adjustments to precursor composition can produce MXene structures tailored for specific applications—flat sheets for shielding and scrolls for energy storage—within a streamlined process. First author Jaeeun Park explains, “We showed that flat MXene sheets are ideal for electromagnetic shielding, while scroll structures are better suited for energy storage. By controlling the precursor, we can design the material for different functions without changing the synthesis method.” Professor Kwon adds, “Last year, we enhanced MXene’s conductivity and broadband shielding through nitrogen doping. Now, we’ve demonstrated how to design the material’s shape from the start. The ultra-thin, flexible MXene performs well at 100 GHz and withstands bending, making it a promising lightweight, flexible shield for future 6G and radar systems.” Supported by the Ministry of Science and ICT (MSIT) and the National Research Foundation of Korea (NRF), the study was published in Advanced Materials on May 18, 2026. Journal Reference Jaeeun Park, Ju-Hyoung Han, Yujin Chae, et al ., “Stoichiometry-Programmed MXenes via Precursor Engineering for High-Performance EMI Shielding and Energy Storage,” Adv. Mater ., (2026).

2026.06.02

AI-Driven Satellite Detects Methane—84 Times More Potent Than CO2—Faster and More Precise

Abstract Methane (CH4) is a dominant driver of near-term warming, yet global emission monitoring remains constrained by slow processing and large uncertainties. Hyperspectral spectrometers enable sensitive detection of CH4 plumes, but the relative advantages of enhancement-based (ENH) and radiance-based (RAD) approaches have not been systematically evaluated. Here we introduce a dual-path deep-learning framework that systematically compares both approaches using globally distributed, expert-validated CH4 plume datasets from EMIT and Tanager-1. The ENH models exhibit higher segmentation accuracy across plume scales, whereas the RAD models, operating directly on 49 shortwave-infrared channels, avoid computationally expensive preprocessing (eg, matched filtering) and enable rapid screening. Both pathways markedly reduce labor-intensive workflows and latency relative to traditional processing while maintaining competitive performance by utilizing deep learning. Explainable AI analyzes demonstrate that the models learn spatial-spectral features consistent with CH4 absorption structure and plume morphology, providing evidence of scientific validity. Cross-sensor evaluation demonstrates architectural robustness across EMIT and Tanager-1, establishing a physics-grounded framework adaptable across hyperspectral sensors. Methane (CH4) is a powerful greenhouse gas—84 times more potent than carbon dioxide over 20 years. Quickly identifying leaks is crucial, but current methods rely on slow, manual analysis of satellite images. Researchers at UNIST have created an AI-based system that automates methane plume detection, making monitoring faster and more precise. Led by Professor Jungho Im from the Department of Civil, Urban, Earth, and Environmental Engineering, the team built a deep learning model to identify methane leaks in satellite imagery. They tested different data types and modeling techniques to determine the most effective approach for global deployment. Hyperspectral satellites capture reflected sunlight across hundreds of narrow wavelengths, revealing detailed surface information. The team trained their models on data from NASA's EMIT satellite, which orbits the International Space Station. The models detect methane by recognizing specific infrared wavelengths absorbed by the gas—clear indicators of leaks. The system successfully identified methane emissions from diverse sources, including oil and gas facilities, waste sites, and coal mines across regions such as Turkmenistan, Algeria, and the US The analysis revealed that the AI system does not merely recognize visual patterns; It interprets physical signals such as absorption features and plume shapes consistent with real-world physics. They tested three deep learning architectures—CNN-ASPP, Inception U-Net, and SegFormer—using two data types: raw radiance and processed data that highlights methane concentration. Models trained on the enhanced data performed better overall. But models trained on raw data responded faster, making them useful for quick scans. Applying these models to Tanager-1 satellite data—commercial hyperspectral imagery—yield similar results, demonstrating the approach's versatility across different sensors. First authors Seyoung Yang and Yejin Kim played key roles in this work. The models work across various resolutions and conditions, relying on physical principles to quickly flag large leaks for further investigation. Professor Im emphasized the importance, “Fast leak detection is essential for reducing methane emissions. Traditional methods are slow and require experts. By combining hyperspectral data with AI, we can identify potential trouble spots in real time and strengthen global monitoring efforts.” Supported by the Ministry of Environment and the Ministry of Education, this research was published in npj Climate and Atmospheric Science on March 25, 2026. Journal Reference Seyoung Yang, Yejin Kim, Minki Choo, et al ., “Beyond localized methane plume detection: a dual-path deep learning framework for sensor-agnostic global hyperspectral methane plume monitoring,” npj Clim. Atmos. Sci., (2026).

2026.06.01

Matter That Responds: From Materials to Active Systems

《Editor's Note: Across fields ranging from biomedical engineering and organic electronics to photonics, chemistry, and quantum materials, UNIST researchers are rethinking the role of matter itself. Their latest work—rebuilding damaged tissue, making light respond to water and strain, reopening therapeutic pathways for drug-resistant cancer, and engineering sensors that read subtle human signals—points to a new frontier in science: materials are no longer passive building blocks. They are becoming active systems designed to respond. 》 Matter that Heals Healing is no longer only a biological process. It is increasingly becoming a matter of design. In one study, UNIST researchers developed a blood-derived fibrin scaffold that helps regenerate muscle tissue and blood vessels together, offering a promising route for treating severe muscle injuries and volumetric tissue loss. The work shows how patient-derived materials can be engineered to guide the body's own repair mechanisms, creating a more integrated path toward tissue reconstruction. Another team approached healing from a different scale: the molecular defense systems that cancer cells use to survive. By identifying a way to destabilize key DNA repair proteins, researchers demonstrated a strategy to make drug-resistant cancers vulnerable again to PARP inhibitor therapy. Together, these studies show how matter and molecules can be designed not simply to replace what is damaged, but to reshape the conditions for recovery. • Blood-Based Scaffold Enables Vascular-Integrated Muscle Repair (Adv. Mater. | Apr., 2026) • Destabilizing DNA Repair Proteins to Overcome PARP Inhibitor Resistance (Nat. Commun. | Apr., 2026) Matter that Signals Materials gain new functionality when they can sense and interpret their surroundings. This month, UNIST researchers advanced several technologies that turned physical change into meaningful signals. A hydrogel-based photonic material brightens and fades in response to water, enabling hidden patterns and QR codes to appear or disappear with moisture. A flexible nanoscale optical device produces stronger light signals when bent, challenging the long-held assumption that mechanical deformation weakens performance. In another study, researchers showed how electric current can drive spin polarization in chiral nanowires, pointing to future spintronic devices that operate without magnetic fields. The same principle extends to the body. An atomically engineered MXene sensor can detect temperature, pressure, and subtle physiological signals such as coughing, swallowing, blinking, pulse waves, and gait patterns. These breakthroughs suggest a future in which materials do not merely transmit information. They generate, amplify, and interpret it. • Water-Responsive Luminescent Material (Adv. Funct. Mater. | Apr., 2026) • Nanoscale Optical Device Produces Stronger Signals When Bent (Sci. Adv. | May, 2026) • Current-Driven Spin Polarization in Chiral Nanowires (ACS Nano | Apr., 2026) • Wearable MXene Sensor for Real-Time Human–Machine Interfaces (Adv. Funct. Mater. | Apr., 2026) Matter that Builds Before materials can respond, they must first be built with precision. At the molecular level, UNIST researchers are expanding the ways matter can be assembled, organized, and tuned. One team developed high-performance organic solar cells that exceeded conventional AI-based predictions by focusing on how molecules behave in solution before forming thin films. Instead of relying only on molecular descriptors, the study highlights the importance of collective behavior—pre-aggregation, ordering, and interactions that emerge before a device is even made. Another team introduced a new way to reshape the backbone of pentacene-based organic semiconductors, giving researchers finer control over molecules used in flexible displays, sensors, solar cells, and optoelectronic devices. In chemistry, a radical relay strategy enabled multiple molecular components to be connected in a single controlled reaction, offering a more efficient route to complex molecules for pharmaceuticals and advanced materials. Together, these studies reveal the deeper architecture behind responsive matter. The future of technology will not be built only by discovering new substances. It will depend on learning how to program the way molecules assemble, interact, and perform. • Organic Solar Cells Beyond AI Predictions (Adv. Energy Mater. | Apr., 2026) • Rebuilding Organic Semiconductor Backbones (Angew. Chem. Int. Ed. | Apr., 2026) • Radical Relay Strategy Enables One-Step Multi-Component Molecular Assembly (Adv. Sci. | Apr., 2026) Across its laboratories, UNIST is showing that responsiveness is more than a material property. It is a design principle. Whether guiding tissue regeneration, controlling light, sensing the body, directing electron spin, or assembling molecules with greater precision, these studies point toward a common future: one where matter is engineered not just to endure changing conditions, but to read them, adapt to them, and act within them.

2026.06.01

Novel Blood-Based Graft Enables Simultaneous Muscle and Blood Vessel Regeneration

Abstract Volumetric muscle loss (VML), a severe injury involving irreversible loss of both muscle tissue and vasculature, poses a major barrier to the development of clinically viable muscle grafts. Functional restoration requires engineered constructs capable of reconstructing both contractile and vascular components that can functionally integrate with the host vasculature. Here, we introduce SPARC (spatio-chimeric, plasma-based, anisotropic, and shear-responsive construct), a mechanically bimodal fibrin hydrogel engineered via shear-guided assembly of plasma fibrin to recreate the structural and mechanical heterogeneity of native muscle. Controlled microfluidic shear generates aligned fibrillar bundles and a spatially graded bimodal stiffness architecture, establishing stiff, bundle-dense regions that favor myogenic differentiation and compliant regions that promote endothelial morphogenesis. When co-cultured with myoblasts and endothelial cells, the resulting anisotropic matrix directs spatially organized myogenic maturation and endothelial morphogenesis. In vivo evaluation in a murine VML model shows that vascularized muscle SPARC grafts restore muscle architecture and function, promoting neovascularization, myofiber regeneration, and enhanced motor recovery. Through its spatially mechano-programmed design, SPARC enables coordinated myogenic and endothelial organization within a single construct, establishing a scalable biofabrication strategy for functional repair of extensive muscle defects. A research team, affiliated with UNIST has reported a new tissue engineering approach that regenerates muscle and blood vessels at the same time, using only the patient's blood. This technology offers a promising solution for treating extensive muscle loss caused by trauma or surgery. Led by Professor Joo H. Kang of the Department of Biomedical Engineering at UNIST, the team collaborated with Professor Yoonhee Jin from Yonsei University to create a platform called SPARC (spatio-chimeric, plasma-based, shear-responsive construct). Using microfluidics, they assemble fibrin—an essential protein involved in blood clotting—into a structured scaffold. By applying controlled shear stress within tiny channels, they align fibrin fibers in specific patterns. Dense, stiff regions support muscle cell growth, while softer areas promote blood vessel formation. The result is a single, integrated scaffold that guides both tissues to develop side by side. In tests on mice with large muscle wounds, the grafts successfully connected with the host's blood supply, encouraging the formation of new vasculature and muscle tissue. The animals regained strength and mobility, demonstrating the therapy's potential to restore function. This approach is notable because it uses fibrin derived solely from the patient's blood, reducing the risk of immune rejection. It also simplifies scaffold fabrication by leveraging physical forces to create distinct microenvironments within one material. “We harness fibrin's natural ability to organize under mechanical shear, creating a multifunctional scaffold from a single, biocompatible material,” said Professor Kang. “This technology could revolutionize treatments for severe muscle injuries and tissue defects.” The findings of this research were published in the online edition of Advanced Materials on April 22, 2026. The study was supported by the Ministry of Science and ICT (MSIT) and the National Research Foundation of Korea (NRF). Journal Reference Su Hyun Jung, Minjun Kim, Da-Yoon Kim, et al., “Mechanically Spatio-Chimeric Fibrin Assembly Enables Vascular-Integrated Muscle Reconstruction for Volumetric Muscle Loss Repair,” Adv. Mater., (2026).

2026.05.28

New Research Reveals High-Performance Organic Solar Cells Surpassing AI Predictions

Abstract Descriptor-based artificial intelligence (AI) has emerged as a paradigm for molecular design in organic solar cells (OSCs); However, it inherently overlooks collective effects governed by bond hybridization, intermolecular coupling, and aggregation thermodynamics. Such effects are encoded at the solution stage, where pre-aggregation of photoactive materials dictates nucleation pathways, phase separation, and molecular ordering during film formation. Herein, we introduce a YBOV non-fullerene acceptor featuring sp2-hybridized branched side chains that exhibit an unprecedentedly strong solution-state pre-aggregation propensity. This behavior translates into highly ordered solid films with a densely packed crystalline microstructure, enabled by a thermodynamically stabilized core–terminal dimer. As a result, incorporation of YBOV into OSCs not only outperforms the benchmark L8-BO-based device, but also confers an effective nucleation seeding-agent function across diverse host OSC platforms, delivering efficiencies of up to 19.67% via green-solvent processing by alleviating the intrinsic current–voltage trade-off. Machine-learning predictions largely match experimental photovoltaic parameters with a slight upward bias, except for open-circuit voltage, which exhibits anomalous behavior driven by pre-aggregation–driven seeding effects beyond descriptor-based AI. This work establishes sp2-hybridized branched side chains as a new molecular design principle, introducing pre-aggregation-enabled seeding effects beyond AI prediction and providing a universal strategy for high-performance OSCs. Researchers from UNIST and Sungkyunkwan University have created a new type of organic solar cell (OSC) that outperforms existing predictions and highlights a hidden factor in device performance. The secret lies in how molecules clump together in solution—a phenomenon that traditional AI models overlook. Professor Changduk Yang from the School of Energy and Chemical Engineering, in collaboration with Professor Doo-Hyun Ko from Sungkyunkwan University, reported a new OSC with a power conversion efficiency (PEC) of 19.67% through a clean, environmentally friendly process. OSCs are lightweight, flexible, and capable of covering large surfaces. They can be integrated into building facades, windows, and wearable devices. The manufacturing process involves dissolving organic materials in solvents and coating them onto substrates—an approach that's simple and scalable. The researchers designed a new molecule, named YBOV, with branched side chains that promote strong pre-aggregation in solution. This aggregation acts like a seed during film formation, guiding molecules to pack more orderly. The result is a crystalline, densely packed active layer that improves charge flow and boosts efficiency. Notably, devices made with YBOV achieved high performance even when produced with eco-friendly ortho-xylene solvent, avoiding toxic chlorinated options. YBOV also proved versatile. When added to different donor materials or used as an acceptor in various blends, it consistently increased device efficiency. Its aggregation behavior enhances performance across a range of formulations. However, this clustering effect escapes prediction by standard AI models. When trained on 750 device measurements, the models underestimated the open-circuit voltage for YBOV-based cells. This shows that AI, which predicts based on molecular structure alone, cannot fully capture the collective behaviors that influence real-world performance. “Our work introduces a new design principle,” said the research team. “It considers how molecules behave in solution—something AI cannot currently predict. Combining this insight with eco-friendly processing opens new paths for commercializing high-performance, sustainable organic solar cells.” Supported by the National Research Foundation of Korea (NRF) and the InnoCore program of the Ministry of Science and ICT (MSIT), the study involved Seokhwan Jeong, Donghoo Won, and Zhe Sun from UNIST who contributed equally. The findings of this research were published in Advanced Energy Materials on April 20, 2026. Journal Reference Seokhwan Jeong, Donghoo Won, Zhe Sun, et al ., “Beyond Descriptor-Based AI Design: Sp2-Hybridized Branched Side Chains Enable Pre-Aggregation–Driven Seeding Effects in Green-Solvent-Processed Organic Solar Cells,” Adv. Energy Mater., (2026).

2026.05.27

New Study Unveils Water-Responsive Luminescent Material

Abstract Hydrogel-based photonic systems integrating luminescent emitters offer promise as soft, reconfigurable optical platforms, yet most designs lack internal optical engineering to control light propagation and confinement. Here, we present a lithographically programmable soft-photonic platform in which upconversion nanocrystals (UCNs) encapsulated within fluorocarbon nanoemulsion droplets are embedded in a poly(ethylene glycol) diacrylate (PEGDA) hydrogel microdome. Upon drying, strong refractive index contrast between the PEGDA matrix and fluorocarbon droplets creates a cooperative optical microenvironment that structures the near-infrared (NIR) excitation beam into a speckle-like field with localized hot spots while extending the photon dwell time within the microdome via internal reflection-based waveguiding. These effects yield a fully reversible, greater than sevenfold enhancement of upconversion luminescence—well beyond simple concentration or mechanical densification. This optical gain originates from multiple-scattering-assisted speckle excitation activated only in the contracted microdome state. Because UCNs are pumped by invisible NIR speckle illumination that rapidly varies in 3D across the microdome height, the incoherent sum of the photoluminescence manifests as a homogeneous filter-free visible brightness increase. The hydrogel microdomes, fabricated via a customized digital micromirror device (DMD)-based microlithography, enable high-resolution patterning of moisture-responsive displays, multicolor emission motifs, and reversible QR-code encryption, establishing a scalable route toward speckle-engineered soft photonic systems.' Researchers at UNIST have created a new material that dims when it absorbs moisture. This innovation could lead to water-sensitive security features, humidity sensors, and environmental-reactive displays. Led by Professor Jiseok Lee from the School of Energy and Chemical Engineering and Professor Jung-Hoon Park from the Department of Biomedical Engineering, the team developed a hydrogel with embedded upconversion nanocrystals (UCNs). When dry, the material glows more than seven times brighter than when wet. The core design involves oil droplets trapped inside a hydrogel dome. When near-infrared (NIR) light hits the nanocrystals, they emit visible light. In this structure, scattering within the oil droplets traps the light, boosting brightness. When the hydrogel absorbs water, its internal scattering drops, and the glow fades. The team demonstrated how this material can hide and reveal information. In one test, a hidden pattern beneath the hydrogel becomes visible only when water is applied, as the glow weakens. They also created QR codes that are scannable when dry but vanish when wet, making them useful for anti-counterfeiting. Durability stood out. The material retained consistent brightness over 100 wet-dry cycles, with less than 4% variation. It responds rapidly—within 0.1 seconds—fading visibly in seconds after contact with water. Lead author Chaeyeong Ryu said, “We improved brightness by designing the light pathways inside the hydrogel, without changing the nanocrystals. This makes the material ideal for moisture-triggered devices.” Professor Lee added, “The ability to program the color and pattern of the hydrogel microdome, combined with simple manufacturing, opens new paths for security, sensors, and displays across industries.” The findings of this research have been published in Advanced Functional Materials on April 20, 2026. This work was supported by the National Research Foundation of Korea (NRF) and the Ministry of Science and ICT (MSIT). Journal Reference Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, et al ., “Speckle-Engineered Upconversion Amplification in Nanoemulsion-Templated Hydrogel Microdomes,” Adv. Funct. Mater. , (2026).

2026.05.26