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Breaking open the AI black box, team finds key chemistry for solar energy and beyond

Researchers at the University of Illinois have developed a method to understand and improve light-harvesting molecules for solar energy applications. By combining AI with automated chemical synthesis and experimental validation, they were able to produce molecules four times more stable than traditional ones.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalNature·TypeExperimental study·DateAug 28, 2024

Chemical plastics recycling is ready to go

Scientists at ETH Zurich have developed a new method for chemical plastics recycling that breaks down long-chain polymer molecules into monomers, creating high-quality plastics. The approach involves adding a powdered catalyst to molten plastic and stirring it with an impeller, resulting in improved mixing and fewer byproducts.

SourceETH Zurich·JournalNature Chemical Engineering·DateAug 28, 2024

UBC engineers develop all-in-one solution to catch and destroy ‘forever chemicals’

Researchers at the University of British Columbia have developed an all-in-one solution to remove and destroy PFAS substances, also known as 'forever chemicals,' from water supply. The system combines an activated carbon filter with a patented catalyst that traps and breaks down harmful chemicals into harmless components.

SourceUniversity of British Columbia·JournalCommunications Engineering·DateAug 28, 2024

For first time, DNA tech offers both data storage and computing functions

Researchers have demonstrated DNA-based technologies that can store, retrieve, compute, erase, and rewrite data. The technology uses soft polymer materials with unique morphologies to create a structure with high surface area for depositing DNA, enabling the full range of operations found in traditional electronic devices.

SourceNorth Carolina State University·JournalNature Nanotechnology·TypeExperimental study·DateAug 22, 2024

Living plastics: a new solution for plastic degradation through synthetic biology

Researchers at Shenzhen Institute of Advanced Technology developed a novel approach to create degradable living plastics by programming spores to secrete enzymes that break down plastic. The 'living plastics' degrade efficiently within 6-7 days, outperforming regular plastics even with surface damage.

SourceShenzhen Institute of Advanced Technology, Chinese Academy of Sciences·JournalNature Chemical Biology·TypeCommentary/editorial·DateAug 21, 2024

Porous-DeepONet: A deep learning framework for efficiently solving reaction-transport equations in porous media

Researchers developed Porous-DeepONet, a deep learning framework that efficiently captures complex features of porous media and learns solution operators. It outperforms traditional FEM methods in solving parameterized reaction-transport equations in porous media, handling complex domain geometries and multiphysics coupled equations.

SourceEngineering·JournalEngineering·DateAug 19, 2024

PolyU develops versatile fluidic platform for programmable liquid processing

Researchers at PolyU have invented a unique fluidic processor called Connected Polyhedral Frames (CPFs), which enables reversible switching between liquid capture and release. CPFs offer a versatile platform for various applications, including controlled multidrug release, biomaterial encapsulation, and air conditioning.

SourceThe Hong Kong Polytechnic University·JournalNature Chemical Engineering·TypeExperimental study·DateAug 16, 2024

New technology uses light to engrave erasable 3D images

Researchers at Dartmouth College developed a technique using light to imprint 2D and 3D images inside any polymer containing a photosensitive chemical additive. The technology enables the creation of erasable 3D displays with high resolution, applicable in surgeries, architectural designs, education, and art.

SourceDartmouth College·JournalChem·TypeExperimental study·DateAug 9, 2024

An interpretable deep learning modeling architecture considering process underlying logics reveals a promising way to the intelligent chemical industry

A new interpretable deep learning modeling architecture, LACG, is proposed to handle complex variable interactions in chemical processes. It achieves high-accuracy modeling results via the coupling of three sub-modules based on underlying logics. The model outperforms widely used neural networks in terms of interpretability.

SourceEngineering·JournalEngineering·DateAug 8, 2024

Finding pearls in the mud: eco-friendly tungsten recovery from semiconductor waste

Researchers at Pohang University of Science & Technology have unveiled an eco-friendly method to extract rare metals from semiconductor waste, recovering precious tungsten and assessing its economic viability. The bioleaching process, using a fungus to dissolve metals, is found to be 7% cheaper than traditional methods.

SourcePohang University of Science & Technology (POSTECH)·JournalACS Sustainable Chemistry & Engineering·DateAug 7, 2024

New progress in wearable blood pressure monitoring enabled by flexible electronics and machine learning

Researchers have reviewed advancements in wearable cuffless blood pressure monitoring, focusing on flexible electronics and machine learning. The integration of sensors, signal processing, and algorithms enables accurate blood pressure estimation, promising personalized medicine applications.

SourceKeAi Communications Co., Ltd.·JournalWearable Electronics·TypeLiterature review·DateAug 4, 2024

Chung-Ang University study reveals a way to enhance the efficiency of perovskite solar cells

Researchers at Chung-Ang University have discovered an additive that enhances the efficiency of perovskite solar cells, resulting in a record-breaking 12.22% efficiency. The additive, 4-phenylthiosemicarbazide, improves stability and reduces defects, paving the way for more accessible and long-lasting solar panels.

SourceChung Ang University·JournalAdvanced Energy Materials·TypeExperimental study·DateJul 30, 2024

Organic nanozymes have broad applications from food and agriculture to biomedicine

Research from the University of Illinois highlights the potential of organic nanozymes for broader applications beyond traditional uses of inorganic nanozymes. The development of sustainable, environmentally friendly materials offers a promising solution for various industries.

New additive process can make better — and greener — high-value chemicals

Researchers at the University of Illinois developed an eco-friendly method to precisely mix fluorine into olefins using natural enzymes and light, offering a more efficient strategy for creating high-value chemicals with potential applications in agriculture, pharmaceuticals, renewable fuels and more.

Fresh light on the path to net zero

Researchers from UNSW used magnetic fields to study singlet fission, a process that breaks light particles into smaller chunks, increasing efficiency. The study could lead to improved silicon solar cell technologies, potentially achieving over 30% efficiency and reducing energy costs.

SourceUniversity of New South Wales·JournalNature Chemistry·DateJul 25, 2024

HKU Engineering researchers develop new method for achieving controllable tuning and assessing instability in 2D materials for engineering applications

Researchers at HKU have developed a new method to assess the stability of 2D materials, enabling controllable tuning of their mechanical properties. The study provides opportunities for modulating nano-scale instability morphology and physical properties of atomically thin films.

SourceThe University of Hong Kong·JournalNature Communications·TypeExperimental study·DateJul 21, 2024

Novel spectroscopy technique sheds light on NOx reduction

Lehigh University researchers developed a novel spectroscopy technique called modulation excitation spectroscopy (MES) to study selective catalytic reduction (SCR) of nitrogen oxides. The results, published in Nature Communications, reveal the correct reaction pathway and have significant implications for optimizing catalytic converters.

SourceLehigh University·JournalNature Communications·DateJul 1, 2024

Optimal cancer-killing t cells discovered

Researchers at the University of Houston have identified a subset of T cells called CD8-fit that show high motility and serial killing capabilities in patients with clinical responses. These cells were discovered using a patented approach called TIMING, which evaluates cell behavior and movement to identify potential cancer-killing cells.

SourceUniversity of Houston·JournalNature Cancer·DateMay 28, 2024