Lifeboat Foundation

One of the greatest challenges facing the future of clean nuclear energy is scientists’ ability to recover heavy metals from nuclear waste, such as lanthanides and actinides. A new computational tool could help chemists design ligands to selectively bind valuable metals in organometallic complexes.

Nuclear waste contains a smorgasbord of elements from across the periodic table, including transition metals, lanthanides, and actinides. Ideally, scientists would like to reduce the amount of waste generated from nuclear reactors by separating out elements that could be repurposed elsewhere. To tackle these tricky chemical separation techniques, chemists often start with 3D structural models to design ligands that can selectively bind the desired metal to form an organometallic complex that can later be isolated.

Though researchers working with d-block organometallics have an arsenal of structural prediction tools at their disposal, there are no resources available to do the same for the full range of lanthanide and actinide complexes. That’s partly because these f-block elements can form higher coordinate complexes with ligands compared to d-block transition metals, according to Ping Yang and Michael G. Taylor, computational chemists at Los Alamos National Laboratory.

Researchers have developed a metallic gel that is highly electrically conductive and can be used to print three-dimensional (3D) solid objects at room temperature. The paper, “Metallic Gels for Conductive 3D and 4D Printing,” has been published in the journal Matter.

“3D printing has revolutionized manufacturing, but we’re not aware of previous technologies that allowed you to print 3D metal objects at room temperature in a single step,” says Michael Dickey, co-corresponding author of a paper on the work and the Camille & Henry Dreyfus Professor of Chemical and Biomolecular Engineering at North Carolina State University. “This opens the door to manufacturing a wide range of electronic components and devices.”

To create the metallic gel, the researchers start with a solution of micron-scale copper particles suspended in water. The researchers then add a small amount of an indium-gallium alloy that is liquid metal at room temperature. The resulting mixture is then stirred together.

New research by the University of Liverpool could signal a step change in the quest to design the new materials that are needed to meet the challenge of net zero and a sustainable future.

Published in the journal Nature, Liverpool researchers have shown that a mathematical algorithm can guarantee to predict the structure of any material just based on knowledge of the atoms that make it up.

Developed by an interdisciplinary team of researchers from the University of Liverpool’s Departments of Chemistry and Computer Science, the algorithm systematically evaluates entire sets of possible structures at once, rather than considering them one at a time, to accelerate identification of the correct solution.

Dr. Robert Floyd, Ph.D. is Executive Secretary of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO — https://www.ctbto.org/), the organization tasked with building up the verification regime of the Comprehensive Nuclear-Test-Ban Treaty, a multilateral treaty opened for signature in 1996 by which states agree to ban all nuclear explosions in all environments, for military or civilian purposes.

Prior to joining CTBTO, Dr. Floyd was the Director General of the Australian Safeguards and Non-proliferation Office (ASNO), where he was responsible for Australia’s implementation of and compliance with various international treaties and conventions including the Comprehensive Nuclear-Test-Ban Treaty, Nuclear Non-Proliferation Treaty, Convention on the Physical Protection of Nuclear Material (CPPNM) and the Chemical Weapons Convention.

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An engineered version of the mechanosensitive protein talin was used as a monomer in combination with a synthetic chemical crosslinker to form a hydrogel. This shock-absorbing material is shown to capture and preserve projectiles fired at 1.5 km s−1.

A new online platform to explore computationally calculated chemical reaction pathways has been released, allowing for in-depth understanding and design of chemical reactions.

Advances in computational chemistry have lead to the discovery of new reaction pathways for the synthesis of high-value compounds. Computational chemistry generates much data, and the process of organizing and visualizing this data is vital to be able to utilize it for future research.

A team of researchers from Hokkaido University, led by Professor Keisuke Takahashi at the Faculty of Chemistry and Professor Satoshi Maeda at the Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), have developed a centralized, interactive, and user-friendly platform, Searching Chemical Action and Network (SCAN), to explore reaction pathways generated by computational chemistry. Their research was published in the journal Digital Discovery.

Whether it’s baking a cake, constructing a building, or creating a quantum device, the caliber of the finished product is greatly influenced by the components or fundamental materials used. In their pursuit to enhance the performance of superconducting qubits, which form the bedrock of quantum computers, scientists have been probing different foundational materials aiming to extend the coherent lifetimes of these qubits.

Coherence time serves as a metric to determine the duration a qubit can preserve quantum data, making it a key performance indicator. A recent revelation by researchers showed that the use of tantalum in superconducting qubits enhances their functionality. However, the underlying reasons remained unknown – until now.

Scientists from the Center for Functional Nanomaterials (CFN), the National Synchrotron Light Source II (NSLS-II), the Co-design Center for Quantum Advantage (C2QA), and Princeton University investigated the fundamental reasons that these qubits perform better by decoding the chemical profile of tantalum.

Is the Executive Director of the Innovative Genomics Institute (https://innovativegenomics.org/people/brad-ringeisen/), an organization founded by Nobel Prize winner Dr. Jennifer Doudna, on the University of California, Berkeley campus, whose mission is to bridge revolutionary gene editing tool development to affordable and accessible solutions in human health and climate.

Dr. Ringeisen is a physical chemist with a Ph.D. from the University of Wisconsin-Madison, a Bachelor of Science in chemistry from Wake Forest University, a pioneer in the field of live cell printing, and an experienced administrator of scientific research and product development.

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As we age, our bodies change and degenerate over time in a process called senescence. Stem cells, which have the unique ability to change into other cell types, also experience senescence, which presents an issue when trying to maintain cell cultures for therapeutic use. The biomolecules produced by these cell cultures are important for various medicines and treatments, but once the cells enter a senescent state they stop producing them, and worse, they instead produce biomolecules antagonistic to these therapeutics.

While there are methods to remove older cells in a culture, the capture rate is low. Instead of removing older cells, preventing the cells from entering senescence in the first place is a better strategy, according to Ryan Miller, a postdoctoral fellow in the lab of Hyunjoon Kong (M-CELS leader/EIRH/RBTE), a professor of chemical and biomolecular engineering.

“We work with mesenchymal stem cells, that are derived from fat tissue, and produce biomolecules that are essential for therapeutics, so we want to keep the cell cultures healthy. In a clinical setting, the ideal way to prevent senescence would be to condition the environment that these stem cells are in, to control the oxidative state,” said Miller. “With antioxidants, you can pull them the cells out of this senescent state and make them behave like a healthy stem cell.”