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103 papers · 1 filter
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
Alexander Partin, Thomas S. Brettin, Yitan Zhu +4
Cancer claims millions of lives yearly worldwide. While many therapies have been made available in recent years, by in large cancer remains unsolved. Exploiting computational predi…
Dynamical criticality of spin-shear coupling in van der Waals antiferromagnets
Faran Zhou, Kyle Hwangbo, Qi Zhang +15
The interplay between a multitude of electronic, spin, and lattice degrees of freedom underlies the complex phase diagrams of quantum materials. Layer stacking in van der Waals (vd…
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
Aleksandra Ćiprijanović, Ashia Lewis, Kevin Pedro +4
In the era of big astronomical surveys, our ability to leverage artificial intelligence algorithms simultaneously for multiple datasets will open new avenues for scientific discove…
Form factor and model dependence in neutrino-nucleus cross section predictions
Daniel Simons, Noah Steinberg, Alessandro Lovato +3
To achieve its design goals, the next generation of neutrino-oscillation accelerator experiments requires percent-level predictions of neutrino-nucleus cross sections supplemented…
Measured proton electromagnetic structure deviates from theoretical predictions
R. Li, N. Sparveris, H. Atac +44
The visible world is founded on the proton, the only composite building block of matter that is stable in nature. Consequently, understanding the formation of matter relies on expl…
Developments in Performance and Portability for MadGraph5_aMC@NLO
Andrea Valassi, Taylor Childers, Laurence Field +6
Event generators simulate particle interactions using Monte Carlo techniques, providing the primary connection between experiment and theory in experimental high energy physics. Th…