Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
For centuries, the principle of symmetry has guided physicists towards more fundamental truths, but now a slew of shocking findings suggest a far stranger idea from quantum theory could be a deeper dr ...
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...
Scientists at Fermilab’s MicroBooNE experiment have ruled out the existence of the elusive sterile neutrino, a particle proposed for decades to explain puzzling neutrino behavior. Their high-precision ...
In its effort to correlate genomic structure with gene function, the 4D Nucleome Consortium (4DN), led by Job Dekker, Ph.D., ...
Abstract: The presented research proposal focuses on the approximation of higher-order (HO) multi-input multi-output (MIMO) interconnected power system model (IPSM) by employing systematic approach of ...
Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
Abstract: Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, ...
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