MXenes are two-dimensional materials made by selectively stripping elements from a class of layered ceramics known as MAX phases. Their unusual combination of metallic conductivity, mechanical strength, large surface area and chemically tunable surfaces has made them attractive for next-generation electronics, energy storage, catalysis, sensors and protective coatings. Unlike many other two-dimensional materials, MXenes can also be dispersed in liquids and processed into films, inks and composites. Those advantages have fueled intense interest, but manufacturing has remained a major obstacle because conventional synthesis relies on corrosive acids, long reaction times and difficult waste-handling procedures.

A typical MAX phase contains alternating layers of a transition metal and carbon or nitrogen, separated by a third element, commonly aluminum. In a titanium aluminum carbide precursor, for example, titanium and carbon form the structural layers while aluminum occupies the intermediate position. Producing a titanium carbide MXene requires removing the aluminum without seriously damaging the titanium-carbon framework. The resulting sheets are only a few atoms thick, and their exposed surfaces acquire chemical groups that influence how they interact with ions, molecules and other materials. Achieving that transformation requires atomic-level selectivity: an etchant must attack the targeted layer while preserving the conductive backbone.

The established approach, known as liquid-phase chemical etching, generally uses hydrofluoric acid or fluoride-containing reagents. The acid penetrates the MAX material and dissolves the aluminum layer through a sequence of reactions that can take 12 to 24 hours or longer. Additional washing and treatment steps are then needed to remove residual chemicals and adjust the surface chemistry. Although this route has enabled much of the field’s progress, it produces hazardous waste and can expose researchers and manufacturers to highly toxic substances, including hydrogen fluoride. The lengthy process also increases energy, labor and equipment costs, limiting the ability to produce MXenes at industrial scale.

The Rice team sought a faster alternative by adapting flash Joule heating, a technique developed in James Tour’s laboratory. In flash Joule heating, an electrical pulse passes through a material, rapidly raising its temperature to extreme levels in a fraction of a second. The method has previously been used to transform carbon-rich feedstocks and process other difficult materials. In the new work, Shichen Xu, a postdoctoral researcher in the Tour lab, investigated whether the same ultrafast thermal approach could accelerate MXene synthesis. Rather than immersing the MAX phase in an acid solution, the researchers heated it rapidly and introduced reactive gases into the system.

The gas mixture contained chlorine and tetrafluoromethane, a fluorine-containing compound. Under the intense thermal conditions, these gases reacted with the MAX phase and selectively removed the aluminum layers. The chemistry effectively transferred the etching environment from a liquid solution to a controlled gas phase, while the rapid heating shortened the reaction to less than half a minute. By adjusting the composition of the gas mixture and the time for which the material was exposed, the researchers could alter the extent of etching. This control is particularly important because excessive reaction can attack the transition-metal layers or degrade the fragile two-dimensional structure.

The gas-phase process may offer more than a simple increase in speed. In a liquid system, the etchant must diffuse through a solvent and into the layered solid, while the reaction products and residual chemicals must later be separated through washing. Gas-phase chemistry can provide a more direct route to the exposed surfaces of the precursor, and the absence of a large liquid bath could simplify some aspects of processing and waste management. The researchers say that a properly engineered system could reduce the hazards associated with large volumes of hydrofluoric acid and toxic byproducts. However, chlorine and fluorinated gases are themselves hazardous, meaning that industrial adoption would require sealed reactors, precise gas monitoring and robust containment.

The study also revealed that the new method can display different efficiencies and selectivities depending on the material and etching conditions. That flexibility could allow researchers to tune the composition and surface terminations of MXenes rather than treating etching as a single, fixed operation. Surface terminations, such as fluorine-, oxygen- or hydroxyl-containing groups, influence electrical behavior, wettability, catalytic activity and interactions with ions. Controlling them is essential for designing MXenes for particular applications. A material optimized for electromagnetic shielding, for example, may require different surface chemistry from one intended for catalysis or electrochemical energy storage.

The implications reach beyond a faster laboratory protocol. MXenes are being explored for conductive coatings, flexible and miniature electronics, chemical sensors, batteries, supercapacitors, catalysts and aerospace materials that must withstand demanding environments. Their conductivity can support rapid charge transport, while their high surface area provides abundant sites for chemical reactions or interactions with surrounding molecules. If the Rice process can be scaled while maintaining uniformity and safety, it could lower production barriers for these technologies and make systematic experimentation with different MXene compositions more practical. The work also demonstrates how flash Joule heating can be paired with gas-phase reactions to manufacture advanced materials at speeds that conventional wet chemistry cannot easily match.

The researchers emphasize that the method is not simply a faster version of acid etching but a different manufacturing strategy based on rapid thermal activation and controllable gaseous chemistry. Further development will be needed to determine how broadly it applies across the large family of MAX phases, how consistently it produces defect-free sheets, and how its energy use compares with established methods at industrial scale. The team’s results nevertheless point toward a more rapid, tunable and potentially scalable route to MXenes. By replacing prolonged acid treatment with a reaction completed in seconds, the process could help move these atomically thin materials from specialized laboratories toward practical electronic, catalytic and aerospace applications.

Subject of Research: Rapid gas-phase synthesis of MXenes using flash Joule heating

Article Title: Flash Joule heating for rapid MXenes synthesis

News Publication Date: 10-Aug-2026

Web References: https://profiles.rice.edu/faculty/james-tour ; https://www.nature.com/articles/s44160-026-01132-2

References: Nature Synthesis, DOI: 10.1038/s44160-026-01132-2

Keywords

MXenes, flash Joule heating, gas-phase etching, MAX phases, two-dimensional materials, materials engineering, nanotechnology, electronic materials, aerospace coatings, chemical synthesis

This innovation leverages the precise combination of electron donor and electron acceptor molecular units to control the electronic properties of nanoribbons with atomic resolution. Unlike previous approaches predominantly relying on graphene, whose semiconducting behavior had to be induced through shape confinement or chemical modifications, this method synthesizes nanoribbons with tailor-made properties by sequencing molecular subunits directly onto metal surfaces. The capacity to predetermine the sequence and arrangement of donor and acceptor groups enables the realization of highly customizable electronic behavior, a feat critical for the advancement of future electronics.

Fundamentally, the researchers synthesized two specialized molecules: one acting as an electron donor, capable of releasing electrons, and another functioning as an electron acceptor, which readily accepts electrons. These molecules were deposited onto ultra-clean gold surfaces within a vacuum environment and gently heated to initiate self-assembly into extended nanoribbons. The heating process enabled bromine atoms to dissociate, prompting the molecules to chemically bond into linear chains. The resulting nanoribbons varied from purely donor-based to purely acceptor-based, as well as mixed sequences of donor and acceptor units. Notably, impurities and molecular orientations introduced structural irregularities such as bends and defects, which were meticulously characterized.

One of the most impressive technical achievements in this study was the application of cutting-edge microscopy techniques capable of resolving individual molecules and even atomic bonds within these nanoribbons. This level of imaging precision allowed the team to directly observe the nanoribbon morphology, detect minor deviations, and measure electron distributions and behaviors across the molecular structures. Such detailed microscopic scrutiny provides valuable insights into the intrinsic electronic properties of the synthesized materials, surpassing the resolution limitations of conventional imaging technologies.

The electronic performance of the nanoribbons was found to depend strongly on their molecular composition and length. Longer nanoribbons composed exclusively of donor molecules exhibited enhanced electron-donating capabilities, while acceptor-only nanoribbons demonstrated stronger electron-accepting behavior as their length increased. In mixed D-A ribbons, by contrast, the electronic characteristics became a complex function of the precise donor-acceptor sequence. To interpret these observations, the team developed a simplified theoretical model correlating molecular sequence with electronic function, offering a predictive framework for future material design.

Computational simulations complemented the experimental work, with researchers leveraging atomistic modeling to understand how these molecular architectures influence real-world electronic phenomena. Special focus was placed on understanding how the supporting gold substrate and local environmental factors modify nanoribbon behavior, an essential aspect for translating laboratory-scale discoveries into practical devices. This integration of theory and experiment underscores the multifaceted strategy necessary for pushing the boundaries of nanoscale electronics.

The implications of this research are far-reaching, spanning several high-impact technological domains. The developed nanoribbons hold tremendous promise for flexible organic electronics, enabling wearable and printable electronic devices integrated into textiles and other unconventional substrates. Their ultra-small size and tunable properties could revolutionize the Internet of Things (IoT) by facilitating microscopic circuits embedded in everyday objects. Additionally, their bio-compatible potential paves the way for advanced bioelectronic implants capable of interfacing seamlessly with biological systems.

Efforts are also underway to harness this donor-acceptor nanoribbon platform for the improvement of photovoltaic devices. The precise control over electron transport properties could enhance solar cell efficiencies by optimizing charge separation and minimizing recombination losses. Similarly, the nanoribbons’ sensitivity to electrical stimuli makes them excellent candidates for next-generation sensor technology, capable of detecting subtle chemical, biological, or physical changes with high specificity and spatial resolution.

Beyond these applications, this work presents exciting prospects for the development of quantum and molecular electronics. The atomic precision in constructing nanoribbons introduces opportunities to manipulate quantum states at the single-molecule level, potentially facilitating quantum computation or ultra-sensitive electronic components that harness quantum mechanical phenomena. Such possibilities place this research at the forefront of the rapidly evolving field of quantum materials science.

The innovation owes much to the unique on-surface synthesis approach, where molecular building blocks are arranged with spatial and chemical precision unattainable by traditional solution-based chemistry. This method allows for the fabrication of complex molecular architectures under vacuum on metal substrates, yielding pristine and well-defined nanostructures. The application of donor-acceptor chemistry, long utilized in the design of high-performance conductive plastics, here achieves molecular-scale engineering of electronic functionalities with unprecedented control.

Looking forward, the research team aims to extend this molecular design strategy to engineer nanomaterials with bespoke electronic properties specifically tuned for organic electronics, biosensing interfaces, and energy harvesting devices. The integration of theoretical modeling, microscopy, and chemical synthesis establishes a powerful paradigm for rational material design at the nanoscale. As this technology matures, it has the potential to transform how we conceive, construct, and deploy electronic systems, ushering in a new era of miniaturization and multifunctionality.

In conclusion, this international collaboration’s successful realization of ultra-narrow donor-acceptor nanoribbons signals a monumental step in molecular electronics. By combining precision chemical synthesis with advanced characterization and modeling, the researchers have unlocked a versatile and finely tunable platform for next-generation electronic materials. The exciting combination of atomic-scale control and functional tunability offers a transformative foundation for emerging technologies spanning flexible electronics, biointerfaces, photovoltaics, and quantum devices.

Subject of Research: Nanomaterials and molecular electronics

Article Title: Ultra-narrow donor-acceptor nanoribbons

News Publication Date: 23-Apr-2026

Image Credits: James Lawrence

Keywords

Nanomaterials, Nanotechnology, Nanowires, Nanostructures, Molecular electronics, Electronics, Materials science

Traditional AI-driven autonomous experimentation (AE) platforms have indeed accelerated materials research, but their utility in electronic materials remains limited. The crux of the limitation stems from their reliance on large datasets, while experiments often generate sparse and incremental information due to the complexity and duration required for each test. Unlike human researchers, who intuitively adjust strategies based on limited feedback, current AI systems suffer from rigidity, unable to flexibly adapt their experimental path in real-time. This bottleneck has impeded the full realization of AI’s transformative potential in electronic material innovation.

Enter an innovative AI decision interface developed by a research team led by Dai, Chan, and Vriza, which integrates real-time monitoring, intricate data analysis, and interactive human–AI collaboration. This novel framework is designed explicitly to overcome the data scarcity challenge by enabling active adaptation throughout different experimental phases and material types. Far from operating as a black-box algorithm, this interface functions as an AI advisor, effectively augmenting human intuition with precise, data-driven recommendations during the iterative design–fabricate–test–analyze cycles.

The platform’s debut application targeted mixed ion–electron conducting polymers—a distinctive class of materials known for their ability to transport both electronic charges and ions. This dual conduction capability underpins a host of emerging technologies, including bioelectronic devices and flexible energy storage systems, where performance hinges on the material’s multiscale morphology and transport properties. Understanding and manipulating these factors typically require exhaustive trial-and-error experimentation, a process now dramatically streamlined by this new AI system.

To quantify the materials’ efficacy, researchers used organic electrochemical transistors, focusing on a key metric: the mixed-conducting figure of merit, expressed as the product of charge-carrier mobility (μ) and volumetric capacitance (C). This parameter, μC, encapsulates the essential functionality of ion-electron conduction synergy, correlating directly with device performance. Remarkably, the AI-driven experimental campaign spanned just 64 autonomous trials yet covered an expansive μC* spectrum ranging from 166 to 1,275 F cm⁻¹ V⁻¹ s⁻¹—a feat indicative of both the AI’s strategic sampling and adaptive learning capabilities.

Through deep structural analysis enabled by the AI framework, two crucial morphological characteristics emerged as determinants of high volumetric capacitance. Firstly, an increase in crystalline lamellar spacing—a measure of the periodic arrangement within polymer crystals—proved instrumental. Larger spacing likely facilitates easier ion diffusion without compromising electronic pathways, enhancing overall mixed conduction. Secondly, the materials exhibited a higher specific surface area, which increases the electrochemical interface accessible for ion interaction, thereby boosting volumetric capacitance.

Beyond these expected markers, the AI system uncovered a previously unknown polymer polymorph—a distinct crystalline arrangement not documented before. This discovery underscores the AI’s ability to navigate vast structural landscapes, spotting novel configurations that traditional systematic experimentation might overlook. Such polymorphs can potentially exhibit unique electrical and ionic conduction profiles, opening new horizons for tailored electronic materials.

Underlying this success is the AI advisor’s intrinsic ability to synthesize real-time data streams with predictive modeling, deftly balancing exploration of novel formulations against exploitation of promising candidates. This dual approach reflects an advanced Bayesian optimization framework augmented with adaptive feedback protocols, allowing the AI to re-prioritize experiments dynamically as new insights emerge. The system’s interactive design means that human researchers can intervene, guide, and refine experimental objectives on the fly, fostering a symbiotic relationship between machine intelligence and human expertise.

Another critical innovation lies in the AI platform’s capacity to manage uncertainties inherent in limited datasets—an omnipresent hurdle in experimental sciences—without compromising the decision-making process. By employing uncertainty quantification techniques, the system assesses the confidence in each prediction and selects experiments that maximize information gain. This capability not only accelerates convergence to optimal material properties but also economizes experimental resources, a crucial consideration for complex materials exploration.

Moreover, the adaptive decision interface incorporates modular analytical tools that can be tailored to diverse materials and measurement modalities. This generalizability means that while it shines in the realm of mixed ion–electron conducting polymers, it is poised for broader applications across electronic materials research, battery components, catalysts, and beyond. The framework also sets the stage for seamless integration with emerging high-throughput experimental platforms, amplifying throughput without sacrificing analytical depth.

Crucially, the human–AI collaboration model transforms the role of researchers from mere operators to strategic co-creators of knowledge. This paradigm shift empowers scientists to leverage algorithmic insights and maintain creative oversight, ensuring that AI augmentation enhances rather than replaces human judgment. The researchers highlight how this model promotes transparency in decision-making, enabling scientists to interrogate the AI’s rationale and thereby fostering trust—a factor often overlooked in AI implementations within scientific contexts.

Looking forward, this adaptive AI decision interface not only accelerates electronic material discovery but heralds a new era where experimental science is augmented by real-time intelligence attuned to the constraints and nuances of complex systems. The capacity to perform well-informed experiments in a fraction of the traditional timespan opens avenues for rapid innovation in electronics, energy storage, and bioelectronics, where material breakthroughs could redefine device capabilities.

Such advances also raise compelling prospects for democratizing materials research. By lowering the barrier of expertise required to navigate complex multi-parameter spaces, platforms like this could empower a wider cohort of scientists and engineers to participate in cutting-edge electronic materials development. Furthermore, the collaboration model serves as a blueprint for integrating AI across other scientific disciplines struggling with data scarcity and experimental bottlenecks.

In sum, the fusion of adaptive AI decision-making with autonomous experimental platforms presents a paradigm-shifting leap for materials discovery. The research team’s achievement in rapidly tuning mixed ion–electron conducting polymers through a mere 64 trials—while unveiling fundamental structural insights—signals not only accelerated innovation but also a deepened understanding of the interplay between morphology and function in electronic materials. As AI systems evolve to become even more intuitive and collaborative, the frontier of materials science stands primed for transformative breakthroughs shaped by the best of human and artificial intelligence working in concert.

Subject of Research: Mixed ion–electron conducting polymers and autonomous electronic material discovery using adaptive AI.

Article Title: Adaptive AI decision interface for autonomous electronic material discovery.

Article References:
Dai, Y., Chan, H., Vriza, A. et al. Adaptive AI decision interface for autonomous electronic material discovery. Nat Chem Eng (2025). https://doi.org/10.1038/s44286-025-00318-3

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s44286-025-00318-3

Ultrawide-bandgap semiconductors possess a unique advantage over traditional semiconductor materials like silicon. Their much larger energy gap—over 4 electron volts—enables them to manage higher voltages and operate efficiently at elevated frequencies. However, probing these intriguing materials has presented a considerable challenge due to their unique optical properties, most notably their transparency to visible light. Professors Margaret Murnane and Henry Kapteyn, both affiliated with JILA and the University of Colorado, led a team that sought to overcome these hurdles by developing a novel microscopy setup that could engage with these materials using high-energy DUV light.

Conventional optical microscopy techniques rely heavily on visible light, which, due to its limitations, is not suitable for examining materials with large energy gaps such as diamond. This presents an obstacle, as visible light cannot effectively excite charge carriers within these materials. Consequently, researchers struggled to explore the electronic and thermal properties of diamond and similar semiconductors, which are pivotal in high-performance applications. The JILA team devised a new methodology to utilize DUV lasers to create a nanoscale interference pattern that enhances the investigation of these elusive materials.

The innovation lies in the design of a compact microscope that harnesses DUV light to generate a nanoscale transient grating on the material’s surface. By modulating the energy and wavelength of laser light, the researchers successfully converted it to DUV wavelengths, ultimately achieving a remarkable range of around 200 nanometers through the strategic manipulation of nonlinear crystals. This technique underscores the intricate process of optical alignment and energy conversion—a feat that took years of meticulous experimentation, especially compounded by the challenges posed by the COVID-19 pandemic.

To investigate how heat and charge transport characteristics unfold at a nanometer scale, the team employed a transient grating created by splitting the DUV light into two beams. These beams interfered with one another, forming a precise standing wave of alternating high and low energy regions on the diamond’s surface. This innovative approach allowed the team to heat the material in a controlled fashion while enabling them to study phenomena such as the diffusion of electrons and holes—essential charge carriers in the diamond’s structure—without altering the material itself or introducing any undesirable modifications.

Following the establishment of the DUV transient grating system, the team set about validating its accuracy through a series of tests conducted on well-known materials. Thin layers of gold served as a benchmark for the initial experiments, allowing the researchers to generate nanoscale heat patterns and observe the resultant acoustic waves traveling across the surface. Analyzing the frequencies and behaviors of these waves not only confirmed the system’s adeptness in examining material properties but also established a solid framework for future experiments.

The significance of this advancement extends beyond confirming its capabilities; it sets a new precedent for understanding diamond’s exceptional electronic and thermal characteristics. Previous methods that necessitated physical alterations or coatings could distort the material properties and obscure valuable insights. The DUV microscope, however, permitted the exploration of diamond in its pristine form. By closely analyzing the transport dynamics of charge carriers in response to laser excitation, the researchers gleaned new perspectives on their interactions and the resulting impacts on material behavior.

In addition to studying diamond, this innovative microscope has broader implications for understanding heat transport at the nanoscale. Traditional models assume a smooth and continuous flow of energy carriers, but observations in this field have unveiled more complex behaviors such as ballistic and hydrodynamic transport. In these scenarios, phonons—quantized sound waves—can travel considerable distances without scattering or spread in forms reminiscent of fluid dynamics. As the JILA team delves deeper into the properties of various materials, they stand at the precipice of unraveling crucial aspects of nanoscale physics.

The collaboration between JILA researchers and industry partners exemplifies a dynamic exchange of knowledge that fuels scientific progress. When 3M approached the team with a challenge to study a unique ultrawide-bandgap material, it propelled the researchers to break from traditional methodologies and innovate a solution tailored to contemporary needs. This collaboration showcases the intersection of academia and industry, emphasizing the importance of knowledge sharing in driving advancements in materials science.

As this research progresses, the implications for fields ranging from power electronics to communication technologies remain profound. By embracing the unique properties of ultrawide-bandgap materials such as diamond, scientists are not only aiming to enhance performance metrics but also to explore new paradigms for device fabrication and efficiency. This pioneering work will undoubtedly inspire future explorations into the properties of a variety of materials, potentially unlocking new frontiers in nanoscience.

Rigorous validation of experimental setups will continue to be a priority for the team, as they seek to ensure the precision and reliability of their findings. The successful synergy between experimental results and theoretical models serves as a testament to the robustness of their techniques and the potential for future discoveries in the realm of semiconductor physics. The findings paves the way for other researchers in the field, facilitating a pathway for broader applications and enhancements in technology.

As researchers hone their techniques and expand their understanding, the quest to optimize material properties for next-generation devices remains ongoing. The journey into the complexities of nanoscale material interactions is just beginning. The implications of these findings for future technologies are vast, offering promising avenues for improved efficiency and performance in various industrial applications. With continued exploration, the insights gained will reverberate through multiple domains within materials science, fostering innovative solutions for tomorrow’s technological challenges.

The transformative potential of this new DUV microscopy technique is evident, shedding light on a multitude of promising materials and the unique properties that define them. By meticulously observing their behaviors at the nanoscale, scientists can inform the design of more effective electronic components, high-frequency devices, and communication systems. As the team shares their breakthroughs with the scientific community, the excitement surrounding this novel approach highlights the ever-evolving landscape of physics and the materials that comprise the foundation of modern technology.

Subject of Research: Ultrawide-bandgap Semiconductors
Article Title: Novel DUV Microscopy Technique Sets New Basis for Understanding Diamond and Other Advanced Materials
News Publication Date: October 2023
Web References: https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.22.054007
References: DOI – 10.1103/PhysRevApplied.22.054007
Image Credits: Steven Burrows/Murnane and Kapteyn groups

Keywords

Deep-ultraviolet microscopy, ultrawide-bandgap semiconductors, diamond, nanoscale transport, JILA, Murnane and Kapteyn groups, power electronics, high-frequency communication.