For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...
The extent of human-made climate change may make it tricky for us to notice its reversal at first, explain our readers ...
Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Some long-horizon investors are beginning to price in the costs of irreversible climate change.
In a tank on the bottom floor of a University of Chicago research laboratory, scientists summon "The Blob" into existence by ...
Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...
Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
IEEE Spectrum on MSN
AI models trained on physics are changing engineering
Large physics models are increasingly used to bypass simulation ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
This Timeline article charts progress in mathematical modelling of cancer over the past 50 years, highlighting the different theoretical approaches that have been used to dissect the disease and the ...
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