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Category: chemistry

Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature range. The findings have been published in Physical Review Letters. The team was led by Prof. Pan Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. Li Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong Kong University of Science and Technology (HKUST).

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead of electronic parts that carries out computation through chemical reactions rather than digital signals.

An important property of any neural network is the ability to learn by taking in information and retaining it for future decisions. Now, researchers in the laboratory of Lulu Qian, professor of bioengineering, have created a DNA-based neural network that can learn. The work represents a first step toward demonstrating more complex learning behaviors in .

A paper describing the research appears in the journal Nature on September 3. Kevin Cherry, Ph.D., is the study’s first author.

Polaritons enable tunable and efficient molecular charge transfer across broader spectrum of light

Polaritons are quasiparticles emerging from strong interactions between light particles (i.e., photons) and matter excitations (e.g., excitons). Over the past few years, researchers have found that these quasiparticles can alter fundamental chemical and physical processes.

Fabrication technique opens door to new materials for quantum hardware

Researchers have demonstrated a new fabrication approach that enables the exploration of a broader range of superconducting materials for quantum hardware.

The study, published in Applied Physics Letters, addresses a long-standing challenge: many promising superconductors, such as transition metal nitrides, carbides, and silicides, are difficult to pattern into functional devices using conventional chemistry-based methods.

By showing that physical patterning provides a viable alternative, the study paves the way to evaluate and harness these materials for high-performing quantum technologies.

No sorting needed: Plasma torch shows promise for hassle-free plastic recycling

The inconvenience of separating plastics for recycling may soon be a thing of the past. A team of Korean researchers has developed the world’s first technology that can chemically recycle mixed waste plastics into raw materials in a highly selective manner without the need for strict sorting or label removal.

The Korea Institute of Machinery and Materials (KIMM), under the National Research Council of Science & Technology (NST), announced that its Center for Plasma Process for Organic Material Recycling, carried out in collaboration with the Korea Research Institute of Chemical Technology (KRICT), Korea Institute of Industrial Technology (KITECH), Korea Institute of Science and Technology (KIST), and several universities, has successfully developed an innovative plasma conversion process.

This process transforms a wide variety of plastics directly into raw chemical feedstocks, setting a new milestone for Korea’s chemical industry and environmental policy.

Here we glow: New organic liquid provides efficient phosphorescence

The nostalgic “glow-in-the-dark” stars that twinkle on the ceilings of childhood bedrooms operate on a phenomenon called phosphorescence. Here, a material absorbs energy and later releases it in the form of light. However, recent demand for softer, phosphorescent materials has presented researchers with a unique challenge, as producing organic liquids with efficient phosphorescence at room temperature is considered difficult.

Now, researchers at the University of Osaka have attempted to tackle this problem by producing an organic liquid that phosphoresces in the ambient environment. This discovery is published in Chemical Science.

Traditional materials that can phosphoresce at contain heavy metal atoms. These phosphors are used to create the colored electronic displays we utilize every day, such as those in our smartphones. Organic materials, which contain carbon and (similar to materials found in nature), are more environmentally friendly.

Advanced model unlocks granular hydrogel mechanics for biomedical applications

Researchers at the University of Illinois Urbana-Champaign have developed a novel framework for understanding and controlling the flow behavior of granular hydrogels—a class of material made up of densely packed, microscopic gel particles with promising applications in medicine, 3D bioprinting, and tissue repair.

The new study, published in Advanced Materials, was led by chemical and biomolecular engineering professors Brendan A. Harley and Simon A. Rogers, whose research groups specialize in biomaterials engineering and rheology, respectively.

Granular hydrogels have a unique ability to mimic the of living tissue, which makes them ideal candidates for encapsulating and delivering cells directly into the body. By integrating material synthesis and characterization with rheological modeling, the researchers created a that captures the essential physics of how granular hydrogels deform—reducing a complex problem to a few controllable parameters.

Rewriting Chemical Rules: Researchers Accidentally Create Unprecedented New Gold Compound

SLAC scientists created gold hydride in extreme lab conditions. The work sheds light on dense hydrogen and fusion processes. By chance and for the first time, an international team of researchers led by scientists at the U.S. Department of Energy’s SLAC National Accelerator Laboratory succeeded i

Styrofoam-based hydrogen storage: New process offers safe, reusable solution

A research team affiliated with UNIST has unveiled a novel technology that enables hydrogen to be stored within polystyrene-derived materials, particularly those originating from Styrofoam. The research is published in the journal ACS Catalysis.

This advancement not only offers a solution to the low recycling rate of —less than 1%—but also makes hydrogen storage and transportation more practical and accessible, addressing the challenges associated with handling gaseous hydrogen.

Led by Professor Kwangjin An from the School of Energy and Chemical Engineering at UNIST, in collaboration with Dr. Hyuntae Sohn from KIST and Professor Jeehoon Han from POSTECH, the team successfully designed a comprehensive, closed-loop system to convert waste polystyrene into a liquid organic hydrogen carrier (LOHC). This innovative process enables efficient hydrogen storage, retrieval, and reuse.

Diagnosing diabetes may soon be as easy as breathing into a bag

In the U.S., one in five of the 37 million adults who has diabetes doesn’t know it. Current methods of diagnosing diabetes and prediabetes usually require a visit to a doctor’s office or lab work, both of which can be expensive and time-consuming. Now, diagnosing diabetes and prediabetes may be as simple as breathing.

A research team led by Huanyu “Larry” Cheng, James L. Henderson, Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, has developed a sensor that can help diagnose diabetes and prediabetes on-site in a few minutes using just a breath sample. Their results are published in the Chemical Engineering Journal.

Previous diagnostic methods often used glucose found in blood or sweat, but this sensor detects acetone levels in the breath. While everyone’s breath contains acetone as a byproduct of burning fat, acetone levels above a threshold of about 1.8 parts per million indicate diabetes.

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