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A serendipitous observation in a Chemical Engineering lab at Penn Engineering has led to a surprising discovery: a new class of nanostructured materials that can pull water from the air, collect it in pores and release it onto surfaces without the need for any external energy.

The research, published in Science Advances, describes a material that could open the door to new ways to collect water from the air in arid regions and devices that cool electronics or buildings using the power of evaporation.

The interdisciplinary team includes Daeyeon Lee, Russell Pearce and Elizabeth Crimian Heuer Professor in Chemical and Biomolecular Engineering (CBE); Amish Patel, Professor in CBE; Baekmin Kim, a postdoctoral scholar in Lee’s lab and first author; and Stefan Guldin, Professor in Complex Soft Matter at the Technical University of Munich.

The indoor environment contains multiple sources of chemical compounds. These include continuous emissions from housing materials such as furniture, floors and furnishings, but also periodic intense emissions from human activities such as cooking, smoking, and cleaning.

Outdoor air chemicals can also enter indoor environments through infiltration and ventilation. Ozone (O3) from outdoors can react with compounds indoors to create a complex chemical cocktail within the indoor living space. Since people spend up to 90% of their time indoors, exposure to this diverse array of chemical compounds over extended periods is cause for concern, particularly as the human-health impacts of many such chemicals remain poorly understood.

On the basis of their findings in 2022, Jonathan Williams’s research group from the Max Planck Institute for Chemistry took a closer look at how the human oxidation field might be influenced by . The study is published in the journal Science Advances.

A Korean research team has developed a light-powered artificial muscle that operates freely underwater, paving the way for next-generation soft robotics.

The research team—Dr. Hyun Kim at the Korea Research Institute of Chemical Technology (KRICT), Prof. Habeom Lee at Pusan National University, and Prof. Taylor H. Ware at Texas A&M University—successfully developed artificial muscles based on azobenzene-functionalized semicrystalline liquid crystal elastomers (AC-LCEs) that actuate in response to light.

The work has been published in the journal Small.

Artificial intelligence (AI) agents and large-language models (LLMs), such as the model underpinning OpenAI’s conversational platform ChatGPT, are now widely used by people worldwide, both in informal and professional settings. Over the past decade or so, some of these models have also been adapted to tackle complex research problems rooted in various fields, including biology, physics, medical sciences and chemistry.

Existing computational tools employed by chemists are often highly sophisticated and complex. Their complexity makes them inaccessible to non-expert users and often even difficult for expert chemists to use.

Researchers at Matter Lab at the University of Toronto and NVIDIA have developed El Agente Q, a new LLM-based system that could allow chemists, particularly those specialized in , to easily generate and execute quantum chemistry workflows, sequences of computational tasks required to study specific chemical systems at the quantum mechanical level.

Proteins are among the most studied molecules in biology, yet new research from the University of Göttingen shows they can still hold surprising secrets. Researchers have discovered previously undetected chemical bonds within archived protein structures, revealing an unexpected complexity in protein chemistry.

These newly identified nitrogen-oxygen-sulfur (NOS) linkages broaden our understanding of how proteins respond to , a condition where harmful oxygen-based molecules build up and can damage proteins, DNA, and other essential parts of the cell. The new findings are published in Communications Chemistry.

The research team systematically re-analyzed over 86,000 high-resolution protein structures from the Protein Data Bank, a global public repository of protein structures, using a new algorithm that they developed inhouse called SimplifiedBondfinder. This pipeline combines , quantum mechanical modeling, and structural refinement methods to reveal subtle that were missed by conventional analyses.

Researchers in Australia are working on a way to lower the cost of producing solar thermal energy by as much as 40% with the help of shatterproof rear-view mirrors originally designed for cars.

That could be huge for agriculture and industrial facilities which need large amounts of heat for large-scale processes at temperatures between 212 — 754 °F (100 — 400 °C). That addresses food production, drying crops, grain and pulse drying, sterilizing soil and treating wastewater on farms; industrial applications include producing chemicals, making paper, desalinating water, and dyeing textiles.

A quick refresher in case you’re out of the loop: solar thermal energy and conventional solar energy (photovoltaic) systems both harvest sunlight, but they work in fundamentally different ways. Solar thermal setups capture the Sun’s heat rather than its light, use reflectors to concentrate sunlight onto a receiver, and convert solar radiation directly into heat energy. This heat can be used directly for heating buildings, water, or the aforementioned industrial processes.

When a molecule absorbs light, it undergoes a whirlwind of quantum-mechanical transformations. Electrons jump between energy levels, atoms vibrate, and chemical bonds shift—all within millionths of a billionth of a second.

These processes underpin everything from photosynthesis in plants and DNA damage from sunlight, to the operation of solar cells and light-powered cancer therapies.

Yet despite their importance, chemical processes driven by light are difficult to simulate accurately. Traditional computers struggle, because it takes vast computational power to simulate this quantum behavior.

The earliest cells harnessed energy through geochemical reactions, a process that LMU researchers have now successfully replicated in the lab. The earliest ancestor of all life on Earth likely thrived in warm environments, relied on hydrogen for energy, and produced methane as a byproduct. Resear

Scientists have developed a method to alter the color and brightness of rare earth element luminescence by changing their chemical environment, enabling the design of advanced light-emitting materials. Researchers at HSE University and the Institute of Petrochemical Synthesis of the Russian Acade

The role of fungi in the biogeochemical cycling of gold remains unclear. Here the authors show that fungi can initiate gold oxidation under supergene conditions, thereby impacting gold mobilisation and secondary deposit formation in terrestrial environments.