Saturday, February 21, 2026

After Decades of Global Searching, Scientists Finally Create the Silicon Aromatic Once Thought Impossible




A long-standing chemistry challenge has been solved with the synthesis of a five-atom silicon aromatic ring. The breakthrough validates decades of theory and points toward new industrially relevant compounds.

Major scientific advances rarely happen quickly, and this discovery is a clear example of that slow but steady progress.

After nearly fifty years of theoretical discussion and repeated experimental efforts by researchers around the world, a team at Saarland University has finally succeeded. David Scheschkewitz, Professor of General and Inorganic Chemistry, worked alongside his doctoral student Ankur and Bernd Morgenstern from the university’s X-Ray Diffraction Service Center to achieve the breakthrough. Their results have now been published in the prestigious journal Science.

So what exactly did the researchers accomplish? They successfully synthesized a compound known as pentasilacyclopentadienide. While experts in the field may immediately recognize the importance of this result, many readers might reasonably ask what makes it special. At its core, the work involved replacing the carbon atoms in an aromatic compound, a group of molecules known for their exceptional stability, with silicon atoms.

Aromatics play a prominent role in the world around us, for example, in the manufacture of plastics. ‘In polyethylene and polypropylene production, for example, aromatic compounds help make the catalysts that control these industrial chemical processes more durable and more effective,’ explains David Scheschkewitz. As silicon is much more metallic than carbon, it holds on to its electrons far less strongly. This shift creates opportunities for chemical systems that were previously unreachable, and the Saarland team has now demonstrated that such systems are possible.

Cracking Aromatic Stability and Opening New Chemical Frontiers

Why did it take so long to reach this point? The answer lies in the fundamental rules that govern aromatic molecules. Cyclopentadienide, the carbon-based counterpart to the newly synthesized silicon compound, is an aromatic hydrocarbon in which five carbon atoms form a flat (‘planar’) ring.

This geometry plays a key role in its unusual stability. (Historical side note: Aromatics were given this name because the first such compounds to be discovered in the second half of the 19th century were found to have particularly distinctive and often pleasant aromas.)

“To be classified as aromatic, a compound needs to have a particular number of shared electrons that are evenly distributed around the planar ring structure, and this number is expressed by Hรผckel’s rule – a simple mathematical expression named after the German physicist Erich Hรผckel,” explains David Scheschkewitz. Because these electrons are spread evenly around the ring rather than tied to individual atoms, aromatic molecules gain an extra level of stability.

Until now, silicon chemistry offered only one confirmed example of this behavior. In 1981, researchers synthesized the silicon analogue of cyclopropenium, an aromatic molecule in which a three-membered carbon ring was replaced by a three-membered silicon ring. Every attempt to extend this concept to larger silicon-based aromatic systems failed.

That situation has now changed. Ankur, Bernd Morgenstern, and David Scheschkewitz have created a five-atom silicon molecule that meets the strict criteria for aromaticity. In an unexpected coincidence, the same compound was discovered at nearly the same time in the laboratory of Takeaki Iwamoto at Tohoku University in Sendai, Japan. The two research groups agreed to publish their results side by side in the same issue of Science.

This work paves the way for entirely new materials and processes with potential industrial relevance. But the hardest first step has now been taken.

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Friday, February 20, 2026

Unlocking Energy: Sodium Silicate Nanocrystals! #worldresearchawards #Analyticalchemistry #research

 


This study develops sodium silicate–CuSiO₃ nanocrystal glass-ceramics for multifunctional and efficient electrical energy storage. Enhanced dielectric properties, thermal stability, and charge–discharge performance highlight their potential in advanced capacitors and next-generation solid-state energy storage systems.

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Thursday, February 19, 2026

Unlocking Ammonia: The Catalyst Revolution! #worldresearchawards #Analyticalchemistry#researchawards

 




This study investigates alkali and alkaline earth metal-promoted Ni/LaMnO₃ perovskite catalysts for efficient ammonia decomposition. Promoter effects enhance metal dispersion, basicity, and catalytic stability, improving hydrogen production rates and resistance to deactivation, offering promising pathways for sustainable hydrogen generation technologies. 

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Wednesday, February 18, 2026

Science on the double: How an AI-powered 'digital twin' accelerates chemistry and materials discoveries




Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) could reduce this interpretation cycle to minutes, enabling much faster insight into chemical processes relevant to energy storage, catalysis, and manufacturing.

The new platform, called "Digital Twin for Chemical Science" (DTCS), allows researchers to observe chemical reactions, adjust experimental parameters, and validate hypotheses simultaneously during a single experiment. Traditional approaches require researchers to first develop a hypothesis, and then design an experiment to collect data and develop theoretical models to analyze that data before they can finally conduct follow-up experiments to validate the model.

"A common challenge that many researchers face during complex experiments is that although we have sophisticated tools that collect data, interpreting that data is another beast," said Jin Qian, a computational chemist and staff scientist in Berkeley Lab's Chemical Sciences Division who designed the DTCS platform.

"Traditionally, we collect as much data as possible, then run simulations to analyze it offline. This back-and-forth process often takes months before theory and experiment reach consensus. DTCS could help overcome this bottleneck."

The advance is a significant step toward autonomous chemical characterization, where AI-guided experiments could accelerate the timeline for discovering and characterizing new materials and chemical processes for useful applications.

"The Digital Twin for Chemical Science platform represents a new capability for Berkeley Lab's Advanced Light Source (ALS) and DOE's scientific user facilities," said Ethan Crumlin, a staff scientist at the ALS and program lead specializing in interface chemistry and characterization. "The idea of partnering with a computational, machine-learning construct will be the future for how science is done."

Crumlin and Qian are co-lead authors of a study and research briefing on DTCS published in the journal Nature Computational Science.

Digital twins for the win

Chemistry is entering a new digital era, from automated synthesis labs to voice-activated quantum calculations, Qian explained. And yet chemical characterization which guides everything from material design to performance optimization has been left behind. The DTCS platform is changing this by enabling chemical insight with digital twins.

Broadly defined, digital twins are virtual replicas that use real-time data from physical systems to model a complex system's performance and predict future behavior.

While digital twins have been used for decades in aerospace, health care, and manufacturing, DTCS is one of the first digital twins designed specifically for chemical research, and one of the first digital twins to augment the characterization of chemical reactions at interfaces. DTCS is one of several digital twin technologies that the Department of Energy is developing to accelerate innovation across various sectors, including nuclear energy, smart grids, and the chemical sciences.

DTCS could bring new insights into interface science and catalysis chemical processes critical to batteries, fuel cells, and chemical manufacturing. By pairing DTCS with state-of-the-art spectroscopy instruments, researchers can now understand step-by-step reaction mechanisms in real time.

Building on decades of innovation

For the study, the Berkeley Lab team created a digital replica of ambient-pressure X-ray photoelectron spectroscopy (APXPS) techniques at the ALS, Berkeley Lab's synchrotron X-ray user facility, available to scientists around the world. Synchrotrons are specialized particle accelerators that produce ultrabright X-ray light for scientific research.

To develop the DTCS code, Qian used computing resources at the National Energy Research Scientific Computing Center (NERSC), the mission computing facility for the U.S. Department of Energy Office of Science at Berkeley Lab. "NERSC, especially NERSC's JupyterHub, has been instrumental in hosting the DTCS platform to rapidly connect supercomputer-generated theoretical data and facility-specific experimental data," she said.

Over the past two decades, the ALS has advanced the field of surface science by innovating APXPS instruments that have been adopted by synchrotron facilities worldwide and commercialized for energy applications. APXPS is one of the best ways to study interfacial chemistry because it shows how chemical species evolve during reactions. It identifies molecular compounds by their unique chemical "fingerprints" or spectra as they form on the solid surface of an operating device such as a battery. APXPS advances at the ALS have enabled powerful techniques for characterizing a wide array of interfaces including solid/gas, solid/liquid, solid/solid, and liquid/vapor interfaces under real-world operating conditions.

However, with conventional APXPS, researchers cannot practically use experimental spectra in real time to gain insights into how different chemical species are physically interacting at the atomic level on a surface. DTCS offers a powerful yet approachable alternative: By comparing experimental spectra and theoretical modeling, the DTCS platform gains insights about the dynamics of the reaction overall, the concentration of each species, the chemical potentials driving the reaction, and even the real-world likelihood of different molecules being in proximity to one another, representing an enormous leap in the power of interpreting APXPS spectra in real time.

In this one-minute clip, Ethan Crumlin, Deputy for Science in the Chemical Sciences Division and a staff scientist at the Advanced Light Source, explains how APXPS, a specialized technique at the Advanced Light Source, identifies a "rainbow" of interfacial chemistry products essential to high-performance batteries and other energy technologies.

Putting DTCS to the test

By optimizing experiments on the fly with real-time simulations of the interface, DTCS works through two connected pathways: The "forward loop" matches simulated spectra with experimental observations, while the "inverse loop" takes experimental data and solves for the underlying chemical mechanisms.

Data collected by an APXPS instrument teaches DTCS's AI algorithms which chemical reaction mechanisms and kinetic parameters led to the current observation. The platform's physics-based simulations provide real-time snapshots of a reaction and predict which experimental parameters within this "chemical reaction network" will be explored next.

To test the platform, the researchers studied a fundamental catalytic system a silver/water interface relevant to batteries, catalysis, and corrosion prevention. The results were striking: DTCS's predictions matched established experiments and theory, and the platform could predict how, when, and where oxygen-containing species would appear on the silver surface within minutes.

"This lets you see how the concentration profiles within the reaction network and spectra will evolve over time, and then you can compare that with what you're observing at the instrument," Qian said. "Instead of waiting weeks or months to analyze results, researchers can validate hypotheses and change experimental plans based on new findings in real time."

Looking ahead to DTCS 2.0

The research team is already developing DTCS 2.0, preparing it for broader community use and training its AI algorithms with new data. They're also building digital twins for other analytical techniques including Raman and infrared spectroscopy, which complement APXPS by providing information about chemical bonds.

The researchers expect to make DTCS available to other scientific institutions and user facilities within the next few years, potentially transforming how chemistry research is conducted worldwide.

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Tuesday, February 17, 2026

Breakthrough Calcium-Ion Battery Could Challenge Lithium for Clean Energy



A next-generation calcium battery breakthrough could challenge lithium and transform clean energy storage.

A research team at The Hong Kong University of Science and Technology (HKUST) has reported a major advance in calcium-ion battery (CIB) development that could influence how energy is stored in everyday technologies. By integrating quasi-solid-state electrolytes (QSSEs), the scientists created a new type of CIB designed to improve both performance and environmental sustainability.

The innovation could support renewable energy storage, electric vehicles, and other power-hungry applications. The results were published in Advanced Science in a paper titled “High-Performance Quasi-Solid-State Calcium-Ion Batteries from Redox-Active Covalent Organic Framework Electrolytes.”

Growing Demand for Lithium Alternatives

As global investment in renewable energy accelerates, the need for dependable, high-capacity batteries continues to rise. Lithium-ion batteries (LIBs) currently dominate the market, but concerns about limited lithium supplies and constraints in energy density have pushed researchers to search for alternatives. Exploring battery chemistries beyond lithium has become increasingly important for long-term energy security and sustainability.

Calcium-ion batteries offer several advantages. Calcium is widely available, and CIBs operate within an electrochemical window comparable to that of LIBs. Despite this promise, practical challenges have slowed their progress. Efficient movement of calcium ions inside the battery has been difficult to achieve, and maintaining stable performance over repeated charging cycles has proven problematic. These limitations have prevented CIBs from competing directly with commercial lithium-ion systems.

Redox Covalent Organic Framework Electrolytes

To address these technical barriers, the team led by Prof. Yoonseob KIM, Associate Professor in the Department of Chemical and Biological Engineering at HKUST, developed redox covalent organic frameworks that function as QSSEs. These carbonyl-rich QSSEs achieved strong ionic conductivity (0.46 mS cm–1) and Ca2+ transport capability (>0.53) at room temperature.

Through a combination of laboratory experiments and computational simulations, the researchers determined that Ca2+ ions move quickly along aligned carbonyl groups within the ordered pores of the covalent organic frameworks. This structured pathway enables faster ion transport and contributes to improved battery stability.

High Performance Over 1,000 Cycles

Using this approach, the team built a full calcium-ion battery cell that delivered a reversible specific capacity of 155.9 mAh g–1 at 0.15 A g–1. Even at 1 A g–1, the cell retained more than 74.6% of its capacity after 1,000 charge and discharge cycles. These results demonstrate the potential of redox covalent organic frameworks to significantly strengthen CIB technology and move it closer to practical use.

Prof. Kim said, “Our research highlights the transformative potential of calcium-ion batteries as a sustainable alternative to lithium-ion technology. By leveraging the unique properties of redox covalent organic frameworks, we have taken a significant step towards realizing high-performance energy storage solutions that can meet the demands of a greener future.

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Monday, February 16, 2026

Boron Based Schiff Base: A DNA Breakthrough! #worldresearchawards #Analytical chemistry #research

 




This study reports the design, synthesis, and biological evaluation of a boron-based Schiff base as a selective DNA minor groove binder. Docking and molecular dynamics simulations elucidate binding affinity, stability, and interaction mechanisms, supporting its potential therapeutic applications.

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Friday, February 13, 2026

These Molecular Filters Thousands of Times Thinner Than a Human Hair Could Change How the World Cleans Water




Industrial separations sit quietly at the heart of modern manufacturing, yet they consume enormous amounts of energy and generate significant environmental costs. A new membrane technology developed by an international research team promises a more precise and sustainable alternative.

Scientists from the CSIR-Central Salt and Marine Chemicals Research Institute (CSMCRI), the Indian Institute of Technology Gandhinagar, Nanyang Technological University in Singapore, and the S N Bose National Centre for Basic Sciences have teamed up to build a new kind of filtration membrane designed for unusually sharp molecular sorting.

Reported in the Journal of the American Chemical Society, the approach could cut the energy cost of industrial purification and make large-scale water reuse more achievable.

A huge share of manufacturing depends on “separations.” That single word covers everything from removing unwanted byproducts during drug making to stripping color from textile wastewater to refining ingredients in food processing. Today, many of these steps still lean on distillation and evaporation, which work well but burn vast amounts of energy and add significantly to industrial carbon emissions.

Membrane systems are often viewed as a cleaner alternative because they can separate chemicals without repeatedly heating and cooling large volumes, but common polymer membranes have a persistent weakness: their pores vary in size and can change as the material ages. When the pore landscape shifts, selectivity drops, and that is a deal breaker for precision work.

A New Class of Crystalline Membranes

“To address these limitations, we engineered a new class of ultra-selective, crystalline membranes called “POMbranes”, which contain pores that are about one nanometer wide, thousands of times thinner than a human hair,” said Dr. Shilpi Kushwaha, Senior Scientist at CSMCRI.

That one-nanometer target is not just a small number. At this scale, tiny differences in molecular size and shape start to matter, which is why biology uses channels with near-perfect dimensions to control what passes through. The team drew inspiration from aquaporins, natural protein channels that let water through while blocking many other molecules, and aimed for the same kind of size-based decision-making in a synthetic material.

To do it, they turned to polyoxometalate (POM) clusters. These clusters already include a built in opening with a fixed diameter of exactly 1 nanometer, which means the filtering pathway is defined by the molecule itself rather than by a soft polymer that can slowly deform. According to Ms Priyanka Dobariya, a CSMCRI research scholar and co-first author of the article, “These POMs are tiny, crown-shaped metal clusters that have a permanent, perfect hole in their center that does not change or lose shape, which is the biggest hurdle with traditional plastic filters.”

Self-Assembly and Molecular Control

A membrane is only useful if it forms a continuous sheet without gaps, so the researchers focused on how to arrange enormous numbers of these ring-like clusters into a uniform layer. They attached flexible chemical chains to the clusters, then let the material assemble on the surface of water. Under those conditions, the clusters spread and align into an ultrathin film across large areas, a behavior that makes it easier to imagine scalable manufacturing rather than one-off laboratory samples.

By changing the chain length, the team could tune how tightly the clusters packed together. Tighter packing limits alternative routes around the pores, pushing molecules toward the designed pathway.

“This forced molecules to cross the membrane through the only open path, the one-nanometer holes built into each cluster, allowing the membrane to act like a high-tech sieve,” added Dr. Raghavan Ranganathan, Associate Professor at IITGN’s Department of Materials Engineering.

He and Mr Vinay Thakur, a PhD scholar at IITGN and the co-first author of the article, used molecular-level simulations to show how the structure guides transport and why the pores dominate what gets through.

Exceptional Selectivity and Industrial Performance

In tests, the membrane could tell apart molecules that differ in mass by only about 100 to 200 Daltons, a level of separation that conventional polymer membranes struggle to reach. For context, a Dalton is a unit used to describe molecular mass, so this result points to sorting that can discriminate between closely related compounds rather than just separating large from small.

According to Dr. Ketan Patel, Principal Scientist at CSMCRI, this level of control opens new possibilities for sustainable manufacturing. “Our membranes show almost ten times better separation performance compared to existing technologies, while remaining flexible, stable, and scalable,” he said. “Additionally, these membranes are flexible, stable across different acidity levels (pH ranges), and can be manufactured in large sheets. This combination is essential if the membranes are to be adopted widely in industry.”

That combination matters because real industrial streams are messy. Wastewater and process solvents can swing in acidity, include complex mixtures, and run continuously for long periods. A membrane that keeps its pore structure under those conditions becomes more than a laboratory curiosity.

The work is also closely tied to India’s textile and pharmaceutical industries. Textiles and apparel contribute over 2.3% of GDP and about 13% of industrial production, with a domestic market valued at USD 160 to 225 billion and projected to reach USD 250 to 350 billion by 2030.

Yet dyeing and finishing produce large volumes of polluted wastewater, so better dye removal and water recycling remain urgent. The new membranes could selectively remove dye molecules while allowing water to be reused, lowering freshwater demand and reducing chemical discharge. That is especially relevant as India’s wastewater treatment market is expected to expand rapidly in the coming years.

The new membranes could selectively remove dye molecules while allowing water to be reused, reducing freshwater consumption and chemical discharge. This is particularly significant as India’s wastewater treatment market is expected to grow rapidly in the coming years.

Toward Scalable, Nature-Inspired Manufacturing

For the pharmaceutical sector, where precise separations are essential for drug purity and cost-effective manufacturing, the technology could offer significant benefits. “Processes like drug purification and solvent recovery are both energy-intensive and quality-sensitive,” noted Mr Vinay Thakur. “Highly selective membranes such as these can lower energy use while maintaining the stringent standards required in pharmaceutical production.”

The versatility of the engineered POMbranes makes them an efficient platform technology. Their tunable structure, high selectivity, and stability under harsh chemical conditions ensure their suitability for a wide range of separation challenges, from wastewater treatment to advanced chemical processing.

As industries seek solutions that balance efficiency, durability, and sustainability, molecularly engineered membranes could form the backbone of next-generation manufacturing technologies. By drawing on a core principle from biology precise control at the molecular scale and translating it into a scalable materials system, the research shows how nature-inspired design can address real industrial needs.

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After Decades of Global Searching, Scientists Finally Create the Silicon Aromatic Once Thought Impossible

A long-standing chemistry challenge has been solved with the synthesis of a five-atom silicon aromatic ring. The breakthrough validates deca...