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Categories: Energy: Fossil Fuels, Mathematics: Modeling
Published Computational model captures the elusive transition states of chemical reactions



Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published Deep neural networks show promise as models of human hearing



In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.
Published Artificial intelligence systems excel at imitation, but not innovation



Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.
Published ChatGPT often won't defend its answers -- even when it is right



ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it's in the wrong.
Published North Korea and beyond: AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations?



A joint research team in computer science, economics, and geography has developed an artificial intelligence (AI) technology to measure grid-level economic development within six-square-kilometer regions. This AI technology is applicable in regions with limited statistical data (e.g., North Korea), supporting international efforts to propose policies for economic growth and poverty reduction in underdeveloped countries. The research team plans to make this technology freely available for use to contribute to the United Nations' Sustainable Development Goals (SDGs).
Published Mathematics supporting fresh theoretical approach in oncology



Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.
Published Scientists use A.I.-generated images to map visual functions in the brain



Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.
Published New computer code for mechanics of tissues and cells in three dimensions



Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.
Published Dams now run smarter with AI



Scientists have leveraged artificial intelligence models to enhance dam operations.
Published Hydrogen fuel can be a competitive alternative to gasoline and diesel today



Energy researchers posit hydrogen fuel can potentially be a cost-competitive and environmentally friendly alternative to gasoline and diesel, and that supplying hydrogen for transportation in the greater Houston area can be profitable today.
Published Nuclear expansion failure shows simulations require change



A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today.
Published New twist on AI makes the most of sparse sensor data



An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered 'edge' computing, with broad applications across industry, science and medicine.
Published Ammonia fuel offers great benefits but demands careful action



Researchers have identified the potential environmental risks of using ammonia as a zero-carbon fuel in order to develop an engineering roadmap to a sustainable ammonia economy.
Published Solar-powered device produces clean water and clean fuel at the same time



A floating, solar-powered device that can turn contaminated water or seawater into clean hydrogen fuel and purified water, anywhere in the world, has been developed by researchers.
Published quantum mechanics: Unlocking the secrets of spin with high-harmonic probes



Deep within every piece of magnetic material, electrons dance to the invisible tune of quantum mechanics. Their spins, akin to tiny atomic tops, dictate the magnetic behavior of the material they inhabit. This microscopic ballet is the cornerstone of magnetic phenomena, and it's these spins that a team of researchers has learned to control with remarkable precision, potentially redefining the future of electronics and data storage.
Published How to use AI for discovery -- without leading science astray



In the same way that chatbots sometimes 'hallucinate,' or make things up, machine learning models designed for scientific applications can sometimes present misleading or downright false results. Researchers now present a new statistical technique for safely using AI predictions to test scientific hypotheses.
Published Scientists use quantum biology, AI to sharpen genome editing tool



Scientists used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Published Decarbonizing light-duty transportation in the United States: Study reveals strategies to achieve goal



Researchers found that meeting greenhouse gas emissions goals for light-duty vehicles, which are passenger vehicles such as cars and trucks, is possible, but not just by increasing electric vehicle sales.
Published AI trained to identify least green homes



First of its kind AI-model can help policy-makers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.
Published Efficient biohybrid batteries



Formic acid, which can be produced electrochemically from carbon dioxide, is a promising energy carrier. A research team has now developed a fast-charging hybrid battery system that combines the electrochemical generation of formic acid as an energy carrier with a microbial fuel cell. This novel, fast-charging biohybrid battery system can be used to monitor the toxicity of drinking water, just one of many potential future applications.