Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

From light to logic: First complete logic gate achieved in soft material using light alone

Researchers from McMaster University and the University of Pittsburgh have created the first functionally complete logic gate ...
Hackaday

An Introduction To DC Motor Technology

Thinking Techie] takes us back to basics in a recent video explaining how magnets, coils, brushed DC motors, and brushless DC ...
IEEE

Energy Control Strategy for Fuel Cell Hybrid Power System Based on Adaptive Parametric Virtual DC Machine

Abstract: An adaptive parametric virtual dc machine (VdcM)-based energy control strategy for fuel cell hybrid power systems is proposed in this article. Compared with the conventional main–secondary ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
C&EN

Synergistic Effects of Transition Metals and Coordination Environments on Nitrate Reduction in Tetraethynylporphyrin Analyzed by Machine Learning and Verified Using First ...

Laboratory of Chemical Engineering Thermodynamics, Department of Chemical Engineering, Tsinghua University, Beijing 100084, P. R. China ...