Researchers realize a driven-dissipative Ising spin glass using a cavity quantum electrodynamics setup

Spin glasses are physical systems in which the small magnetic moments of particles (i.e., spins) interact with each other in ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...
Tech Xplore

Microgrippers successfully developed to handle sub-millimeter-sized, complex objects

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
Frontiers

Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
AOL

The $4 T.J. Maxx Glass Storage Gem I'm Using to Declutter Every Shelf of My Pantry (It's So Pretty)

I love a good T.J. Maxx find — especially if it’s something that looks way more expensive than it is. I was so excited when I came across these mDesign glass canisters the other day that are exactly ...
C&EN

Classification of NaCl and CsCl Crystal Structures: Establishing an Integrated Didactic Approach for Machine Learning and Chemistry in Upper Secondary Education

© 2025 The Author. Published by American Chemical Society and Division of Chemical Education, Inc. Article Views are the COUNTER-compliant sum of full text article ...
C&EN

Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

Department of Chemistry, Faculty of Science, University of Helsinki, P.O. Box 55 (A.I. Virtanens plats 1), Helsinki FIN-00014, Finland ...