Artificial intelligence (AI) is becoming more common in many branches of industry and online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction. Scientists have now investigated how efficient the use of AI is in the commercial management of trucks. Their answer: the best option is an…

A new computer model that captures the dynamics of the red blood cell sickling process could help in evaluating drugs for treating sickle cell disease. «There are currently only two drugs approved by the FDA for treating sickle cell disease, and they don’t work for everyone,» said Lu Lu, a Ph.D. student in the Division…

Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids. With the looming threat of climate change, it is high time we embrace renewable energy sources on a larger scale. Photovoltaic systems, which generate electricity from the nearly limitless supply of sunlight energy, are one of the most…

Liquid crystals derived from borophene have risen in popularity, owing to their immense applicability in optoelectronic and photonic devices. However, their development requires a very narrow temperature range, which hinders their large-scale application. Now, researchers have investigated a liquid-state borophene oxide, discovering that it exhibited high thermal stability and optical switching behavior even at low…

Mathematical constructions of the action of SARS-CoV-2 and its multiple spikes, which enable its success at infecting cells, can give vaccine developers and pharmaceutical companies alike a more precise picture of what the virus is doing inside us and help fine tune prevention and treatment. Mathematical construction enables examination of the activity of individual virus…

Researchers have developed a machine learning-based model to predict the characteristics of bonded systems. Using the density of states of the individual component reactants, they have achieved accurate predictions of the binding energy, bond length, number of covalent electrons, and Fermi energy. The broadly applicable model is expected to make a significant contribution to the…

By shaking an optical lattice potential, researchers have realized a discontinuous phase transition in a strongly correlated quantum gas, opening the door to quantum simulations of false vacuum decay in the early universe. Researchers in the University of Cambridge studied properties of quantum phases and their transitions using ultracold atoms in an optical lattice potential…

The images and accompanying data available for training artificial intelligence (AI) to spot skin cancer are insufficient and include very few images of darker skin, according to new research. AI is increasingly being used in medicine as it can make diagnosis of diseases like skin cancer quicker and more effective. However, AI needs to be…

Civil engineers develop a computational modeling strategy to help plan effective repairs to damaged reinforced concrete columns. These repairs usually involve replacing loose concrete and fractured steel bars and adding extra materials around the damaged area to further strengthen it against future loads. Engineers at Rice University’s George R. Brown School of Engineering and Texas…

Researchers have developed a framework that solves the challenge of bridging experimental and computer sciences to better predict peptide structures. Handan Acar, Ph.D., the Peggy and Charles Stephenson Assistant Professor of Biomedical Engineering at OU, teamed up with Andrew White, Ph.D., an associate professor of chemical engineering at the University of Rochester, to introduce a…