Machine learning for chemistry: Basics and applications
In a review published in Engineering, scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry. Titled "Machine Learning for Chemistry: Basics and Applications," this comprehensive review aims to bridge the g.....»»
Neural networks unlock potential of high-entropy carbonitrides in extreme environments
The melting point is one of the most important measurements of material properties, which informs potential applications of materials in various fields. Experimental measurement of the melting point is complex and expensive, but computational methods.....»»
Compact on-chip polarimeter measures light polarization with high accuracy
Reliably measuring the polarization state of light is crucial for various technological applications, ranging from optical communication to biomedical imaging. Yet conventional polarimeters are made of bulky components, which makes them difficult to.....»»
By looking at individual atoms in tooth enamel, researchers are learning what happens to our teeth as we age
Teeth are essential for helping people break down the food they eat, and are protected by enamel, which helps them withstand the large amount of stress they experience as people chew away. Unlike other materials in the body, enamel has no way to repa.....»»
Need to accurately measure time in space? Use a COMPASSO
Telling time in space is difficult, but it is absolutely critical for applications ranging from testing relativity to navigating down the road. Atomic clocks, such as those used on the Global Navigation Satellite System network, are accurate, but onl.....»»
macOS 15.2 Sequoia backup bug(s) affecting Time Machine, CCC, and more
One or more backup bugs in macOS 15.2 Sequoia is affecting Apple’s own Time Machine utility, as well as third-party apps SuperDuper and CarbonCopyCloner. Initially the problem appeared to affect bootable backups only, but it now appears that it.....»»
Apple-Nvidia collaboration triples speed of AI model production
Apple's latest machine learning research could make creating models for Apple Intelligence faster, by coming up with a technique to almost triple the rate of generating tokens when using Nvidia GPUs.Training models for machine learning is a processor.....»»
Algorithms can determine whether a whiskey is of American or Scotch origin
Two machine learning algorithms can determine whether a whiskey is of American or Scotch origin and identify its strongest aromas, according to research published in Communications Chemistry. The results also suggest that the algorithms can outperfor.....»»
Tech used by WWI flying aces inspires new cellular behavior discovery
Researchers at the University of Massachusetts Amherst have designed a new technology that takes inspiration from WWI fighter aircraft machine gun and propeller synchronization to manipulate cell behavior by precisely modulating the pH of the cell's.....»»
Novel MOF combines adsorption and dissolution for energy-efficient oxygen separation from argon
Efficient gas separation is vital in various industries, from medical applications to energy production. However, isolating oxygen from mixtures presents a significant technological challenge. Because many gases, including argon and oxygen, share sim.....»»
Machine learning offers new framework for heterogeneous catalyst data analysis
Machine learning (ML) transforms the design of heterogeneous catalysts, traditionally driven by trial and error due to the complex interplay of components. BIFOLD researcher Parastoo Semnani from the ML group of BIFOLD Co-Director Klaus-Robert Mülle.....»»
Miniaturized all-fiber photoacoustic spectrometer for intravascular gas detection rivals lab-based systems
Miniaturized spectroscopy systems that can detect trace concentrations at the parts-per-billion (ppb) level are of the utmost importance in applications ranging from environmental monitoring and industrial process control to biomedical diagnostics. H.....»»
Fluorination strategy unlocks graphene"s potential for optoelectronic and energy applications
Researchers from Tohoku University and collaborators have developed a weak fluorination strategy to address the zero-bandgap limitation of graphene. Details of the research were published in the journal Applied Physics Letters......»»
Machine learning framework improves groundwater recharge estimates in Western Australia
A new study led by Griffith University has unveiled a machine learning-based framework to accurately estimate groundwater recharge in the Perth Basin, with a particular focus on the Gnangara groundwater system......»»
Appdome protects applications running on mobile-enabled platforms
Appdome announced that the Appdome Mobile Defense Platform now protects applications running on mobile-enabled platforms like Apple macOS, Apple visionOS, Meta Quest, HarmonyOS Next, Android Auto, Apple CarPlay, Android TV, Apple TV, and Google Play.....»»
Researchers achieve near-unity quantum efficiency in 2D photon emitters
Leveraging the principles of quantum mechanics, quantum computers can perform calculations at lightning-fast speeds, enabling them to solve complex problems faster than conventional computers. In quantum technology applications such as quantum comput.....»»
Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known as noise-induced and rate.....»»
Huge math error corrected in black plastic study; authors say it doesn’t matter
Correction issued for black plastic study that had people tossing spatulas. Editors of the environmental chemistry journal Chemosphere have posted an eye-catching correction to a.....»»
DAVINCI mission"s many "firsts" aim to unlock Venus"s hidden secrets
NASA's DAVINCI—Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging—mission embodies the spirit of innovation and exploration that its namesake, Leonardo da Vinci, was famous for......»»
New climate chemistry model finds "non-negligible" impacts of potential hydrogen fuel leakage
As the world looks for ways to stop climate change, much discussion focuses on using hydrogen instead of fossil fuels, which emit climate-warming greenhouse gases (GHGs) when they're burned. The idea is appealing. Burning hydrogen doesn't emit GHGs t.....»»
Plagiarism detection software sparks widespread student concern
In a new study, around half of the high school and university students from seven European countries are concerned about the use of plagiarism detection software in education. Their concerns lead to counterproductive behavior and misdirected learning.....»»