AI Hunts Through 10^19 Molecules to Find New Singlet Fission Materials
An AI-driven inverse design protocol combining a Hammett-encoded neural network with genetic and swarm optimization has uncovered singlet fission candidates ...
An AI-driven inverse design protocol combining a Hammett-encoded neural network with genetic and swarm optimization has uncovered singlet fission candidates ...
A large-scale study from the University of São Paulo tested three strategies for detecting outliers in categorical and mixed data ...
A multi-omics study of over 53,000 UK Biobank participants identifies 25 proteins, including galectin-3, that predict and may drive the ...
A new spatially guided metabolomics approach maps overlapping metabolic regions in liver tumors and reveals that over half of bulk-detected ...
Researchers at the Universidad de Sevilla have built a low-cost, real-time pain assessment system that combines four inexpensive biosensors with ...
A semi-automated AI segmentation framework converts routine cervical spine MRI into quantitative measures of disc degeneration that correspond with standard ...
Researchers trained a convolutional neural network to detect and characterize eating disorder discourse on Weibo, uncovering five major themes in ...
A sweeping new review in Vicinagearth charts the rise of multi-dimensional classification, the machine learning paradigm that labels objects along ...
A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...
Researchers have shown that atmospheric diabatic heating over the Southeast Asian low-latitude highlands, combined with physically constrained machine learning models, ...
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© 2025 Scienmag - Science Magazine