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 matched-budget study of LoRA fine-tuning finds that genetic algorithms and other search optimizers offer no consistent advantage over well-tuned ...
A machine-learning web application trained on hundreds of finite element simulations delivers near-instant rock-slope stability forecasts for seismically active mountain ...
A new study shows that a genetically optimized XGBoost model most accurately predicted ionospheric total electron content variations during Japan's ...
Researchers have developed a U-Net-based segmentation network that recovers high-frequency image details lost during downsampling, achieving record accuracy in segmenting ...
Researchers have proposed a new energy-based equal-area method that identifies near-fault velocity-pulse periods directly from the elastic input energy spectrum ...
Researchers have built a neural network and genetic algorithm framework that designs lightweight composite aircraft stiffened panels backwards from performance ...
A new scientometric review maps the rapid rise of research combining genetic algorithms with generative adversarial networks, revealing explosive growth ...
A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...
Researchers in South Korea used Kriging surrogate modeling and multi-objective global optimization to design multiple-harmonic individual blade pitch control schedules ...
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© 2025 Scienmag - Science Magazine