A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of ...
Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their ...
A breakthrough deterministic physics kernel delivers molecular, materials, and reaction screening across three ...
A research team has demonstrated how carbon-based diamond–water nanofluids can be strategically engineered to boost heat transfer over complex, wavy ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...
Recycled plastics are promoted on everything from water bottles and fleece jackets to shopping bags and yogurt cups: "This ...
Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...
Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...
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