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ScienceDaily: Computers & Math News |
| Powerful family of two-dimensional materials discovered Posted: 06 May 2022 11:11 AM PDT A team has developed a new family of two-dimensional materials that researchers say has great potential for many applications such as batteries and supercapacitors, catalysis, sensors and electronics. |
| In balance: Quantum computing needs the right combination of order and disorder Posted: 06 May 2022 08:33 AM PDT Researchers have analyzed cutting-edge device structures of quantum computers to demonstrate that some of them are indeed operating dangerously close to a threshold of chaotic meltdown. The challenge is to walk a thin line between too high, but also too low disorder to safeguard device operation. |
| 'Digital twins,' an aid to give individual patients the right treatment at the right time Posted: 06 May 2022 07:26 AM PDT An international team of researchers have developed advanced computer models, or 'digital twins', of diseases, with the goal of improving diagnosis and treatment. They used one such model to identify the most important disease protein in hay fever. The study underlines the complexity of disease and the necessity of using the right treatment at the right time. |
| Self-propelled, endlessly programmable artificial cilia Posted: 05 May 2022 05:59 PM PDT Researchers have developed a single-material, single-stimuli microstructure that can outmaneuver even living cilia. These programmable, micron-scale structures could be used for a range of applications, including soft robotics, biocompatible medical devices, and even dynamic information encryption. |
| Scientists observe quantum speed-up in optimization problems Posted: 05 May 2022 12:03 PM PDT Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use. |
| Mechanism 'splits' electron spins in magnetic material Posted: 05 May 2022 11:38 AM PDT Holding the right material at the right angle, researchers have discovered a strategy to switch the magnetization in thin layers of a ferromagnet -- a technique that could eventually lead to the development of more energy-efficient magnetic memory devices. |
| Using AI to analyze large amounts of biological data Posted: 05 May 2022 11:38 AM PDT Researchers are applying a form of artificial intelligence (AI) -- previously used to analyze how National Basketball Association (NBA) players move their bodies -- to now help scientists develop new drug therapies for medical treatments targeting cancers and other diseases. |
| 'Metalens' could disrupt vacuum UV market Posted: 05 May 2022 11:38 AM PDT Photonics researchers have created a potentially disruptive technology for the ultraviolet optics market. Solid-state 'metalens' transform long-wave UV into focused 'vacuum UV,' a type of light used in semiconductor manufacturing that is costly, in part because it is absorbed by almost all types of glass used to make conventional lenses. |
| New shape memory alloy discovered through artificial intelligence framework Posted: 05 May 2022 11:38 AM PDT Researchers used an Artificial Intelligence Materials Selection framework (AIMS) to discover a new shape memory alloy. The shape memory alloy showed the highest efficiency during operation achieved thus far for nickel-titanium-based materials. In addition, their data-driven framework offers proof of concept for future materials development. |
| Newly proposed search strategies improve computational cost of the bicycle-sharing problem Posted: 05 May 2022 08:47 AM PDT Bicycle sharing is an attractive zero-carbon transportation option for a world that is being increasingly disrupted by climate change. But bikes need to be restored at bike ports every now and then. Calculating the optimal way to restore bicycles is time consuming and computationally expensive. Recently, researchers have built upon their previous optimization algorithm to propose two strategies to reduce computational costs while maintaining the performance of the algorithm. |
| Researchers now able to predict battery lifetimes with machine learning Posted: 05 May 2022 08:46 AM PDT Scientists have used machine learning algorithms to predict how long a lithium-ion battery will last. |
| 'Nanomagnetic' computing can provide low-energy AI Posted: 05 May 2022 08:46 AM PDT Researchers have shown it is possible to perform artificial intelligence using tiny nanomagnets that interact like neurons in the brain. |
| Deep learning model to predict adverse drug-drug interactions Posted: 04 May 2022 06:29 AM PDT The intake of multiple drugs can result in adverse health effects due to unexpected drug-drug interactions (DDIs). Now, researchers have developed a deep learning model that predicts DDIs based on their effects on gene expression. Their new model is accurate and outperforms conventional prediction models. It can also predict DDIs between developmental drugs and may be useful for detecting DDIs early in the drug-discovery process. |
| Taste of the future: Robot chef learns to 'taste as you go' Posted: 04 May 2022 05:26 AM PDT A robot 'chef' has been trained to taste food at different stages of the chewing process to assess whether it's sufficiently seasoned. |
| New open-source software automates RNA analysis to speed up research and drug development Posted: 03 May 2022 04:02 PM PDT 'Pytheas' is an app created to identify and quantify modified RNA molecules more easily than ever. |
| Posted: 02 May 2022 02:08 PM PDT A cross-disciplinary team has demonstrated a major breakthrough in using automated synthesis to discover new molecules for organic electronics applications. Using automated synthesis, the team was able to rapidly scan through a library of molecules with precisely defined structures, thereby uncovering, via single-molecule characterization experiments, a new mechanism for high conductance. |
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