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- Argonne National LaboratoryUS307 papers
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76 papers · 1 filter
Itinerant Antiferromagnetism in RuO
T. Berlijn, P. C. Snijders, O. Delaire +9
Bulk rutile RuO has long been considered a Pauli paramagnet. Here we report that RuO exhibits a hitherto undetected lattice distortion below approximately 900 K. The distor…
Provable learning of Noisy-or Networks
Sanjeev Arora, Rong Ge, Tengyu Ma +1
Many machine learning applications use latent variable models to explain structure in data, whereby visible variables (= coordinates of the given datapoint) are explained as a prob…
Adaptive multigroup confidence intervals with constant coverage
Chaoyu Yu, Peter D. Hoff
Confidence intervals for the means of multiple normal populations are often based on a hierarchical normal model. While commonly used interval procedures based on such a model have…
AFLUX: The LUX materials search API for the AFLOW data repositories
Frisco Rose, Cormac Toher, Eric Gossett +4
Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented…
Behavior of universal critical parameters in the QCD phase diagram
Marcus Bluhm, Marlene Nahrgang, Steffen A. Bass +1
We determine the dependence of important parameters for critical fluctuations on temperature and baryon chemical potential in the QCD phase diagram. The analysis is based on an ide…
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection
Daniël Reichman, Leslie M. Collins, Jordan M. Malof
Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. Many of the det…