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Categories: Chemistry: Organic Chemistry, Computer Science: General

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A multi-institutional team of scientists has developed a new superconductor material that could potentially be used in quantum computing and be a candidate 'topological superconductor.'

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A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately than before.

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Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.

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Researchers have demonstrated a technology capable of a suite of data storage and computing functions -- repeatedly storing, retrieving, computing, erasing or rewriting data -- that uses DNA rather than conventional electronics. Previous DNA data storage and computing technologies could complete some but not all of these tasks.

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An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.

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Scientists have engineered a highly selective catalyst that can convert methane, a major component of natural gas, into methanol, an easily transportable liquid fuel, in a single, one-step reaction. This direct process for methane-to-methanol conversion runs at a temperature lower than required to make tea and exclusively produces methanol without additional byproducts.

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Who are we? Why are we here? We are stardust, the result of chemistry occurring throughout vast clouds of interstellar gas and dust. To better understand how that chemistry could create prebiotic molecules, researchers investigated the role of low-energy electrons created as cosmic radiation traverses through ice particles. Their findings may also inform medical and environmental applications on our home planet.

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The distribution of outermost shell electrons, known as valence electrons, of organic molecules was observed for the first time. As the interactions between atoms are governed by the valence electrons, the findings shine light on the fundamental nature of chemical bonds, with implications for pharmacy and chemical engineering.

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Researchers have succeeded in forming metal-organic framework thin films on a substrate while controlling the growth direction of crystals so that they are arranged neatly without gaps. The resulting thin films of unprecedented high quality can be expected for use as optical sensors, optical elements, and transparent gas adsorption sheets.

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An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.

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New fusion simulations of the inside of a tokamak reveal the ideal spot for a 'cave' with flowing liquid lithium is near the bottom by the center stack, as the evaporating metal particles should land in just the right spot to dissipate excess heat from the plasma.

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Researchers have developed molecular wires with periodic twists. By controlling the lengths of regions between twists, the electrical conductivity of individual polymer chains can be enhanced. This work may lead to novel organic electronics or single-molecule wires.

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Machine learning models have become increasingly popular for risk assessment of chemical compounds. However, they are often considered 'black boxes' due to their lack of transparency. To increase confidence in these models, researchers proposed carefully identifying the areas of chemical space where these models are weak. They developed an innovative software tool for this purpose, and the results of this research approach have just been published.

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Researchers develop a one pot process to transform aromatic ketones to esters, offering advancements in pharmaceutical synthesis and materials science.

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Scientists have developed photoresponsive supramolecular polymers that can undergo both intrachain folding and interchain aggregation.

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A new adaptive 3D printing system can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.

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Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules.

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Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.

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Today, many commercial tools claim to be highly successful at detecting machine-generated text, with up to 99% accuracy, but are these claims too good to be true? RAID, the Robust AI Detection benchmark, which shows that most detectors are easily fooled, setting a new bar for AI detection to clear.

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A study expands understanding on how electrons move through the conductive parts of complex fluids found in electrochemical devices such as batteries. This work can help overcome existing knowledge gaps for engineers seeking to improve the performance of these devices.