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Categories: Energy: Alternative Fuels, Mathematics: Modeling
Published Distribution of genetic information during bacterial cell division
(via sciencedaily.com) A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Chromium replaces rare and expensive noble metals
(via sciencedaily.com) Original source Expensive noble metals often play a vital role in illuminating screens or converting solar energy into fuels. Now, chemists have succeeded in replacing these rare elements with a significantly cheaper metal. In terms of their properties, the new materials are very similar to those used in the past.
Published Artificial intelligence designs advanced materials
(via sciencedaily.com) Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model
(via sciencedaily.com) Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'
(via sciencedaily.com) Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published AuNi alloy on Au electrodes for hydrogen evolution reaction: Towards a cleaner tomorrow
(via sciencedaily.com) Original source Gold (Au)-based electrocatalysts used for hydrogen production via water electrolysis exhibit high chemical stability but low hydrogen evolution reaction (HER) activity. Alloying them with nickel (Ni) can improve their HER activity. A recent study investigated the HER activity and surface properties of AuNi alloy prepared on single crystal Au surfaces, revealing the atomic structural changes and surface sites responsible for enhanced HER activity of AuNi/Au catalyst during electrolysis.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization
(via sciencedaily.com) Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms
(via sciencedaily.com) Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published How good is that AI-penned radiology report?
(via sciencedaily.com) New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design
(via sciencedaily.com) Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published New photocatalytic system converts carbon dioxide to valuable fuel more efficiently than natural photosynthesis
(via sciencedaily.com) A research team recently developed a stable artificial photocatalytic system that is more efficient than natural photosynthesis. The new system mimics a natural chloroplast to convert carbon dioxide in water into methane, a valuable fuel, very efficiently using light. This is a promising discovery, which could contribute to the goal of carbon neutrality.
Published New method simplifies the construction process for complex materials
(via sciencedaily.com) A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics
(via sciencedaily.com) An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published Sun 'umbrella' tethered to asteroid might help mitigate climate change
(via sciencedaily.com) Original source Earth is rapidly warming and scientists are developing a variety of approaches to reduce the effects of climate change. An astronomer has proposed a novel approach -- a solar shield to reduce the amount of sunlight hitting Earth, combined with a tethered, captured asteroid as a counterweight. Engineering studies using this approach could start now to create a workable design that could mitigate climate change within decades.
Published Researchers successfully train a machine learning model in outer space for the first time
(via sciencedaily.com) Original source Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published Solar batteries: New material makes it possible to simultaneously absorb light and store energy
(via sciencedaily.com) Researchers are making progress on the design of a solar battery made from an abundant, non-toxic and easily synthesized material composed of 2D carbon nitride.
Published Fusion model hot off the wall
(via sciencedaily.com) Heat load mitigation is critical to extending the lifetime of future fusion device. Researchers have found a way to explain the rotational temperatures measured in three different experimental fusion devices in Japan and the United States. Their model evaluates the surface interactions and electron-proton collisions of hydrogen molecules.
Published A simpler method for learning to control a robot
(via sciencedaily.com) A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published AI predicts the work rate of enzymes
(via sciencedaily.com) Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published Renewable solar energy can help purify water, the environment
(via sciencedaily.com) Chemists have demonstrated that water remediation can be powered in part -- and perhaps even exclusively -- by renewable energy sources.