Results 101 to 110 of about 654 (258)

A step toward interpretability: smearing the likelihood

open access: yesJournal of High Energy Physics
The problem of interpretability of machine learning architecture in particle physics has no agreed-upon definition, much less any proposed solution. We present a first modest step toward these goals by proposing a definition and corresponding practical ...
Andrew J. Larkoski
doaj   +1 more source

Grayscale Photomasks Enable Noncontact Optical Patterning of Hydroxypropyl Cellulose Gels for Dynamic Art

open access: yesAdvanced Functional Materials, EarlyView.
Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye   +8 more
wiley   +1 more source

Sensitivity of jet substructure to jet-induced medium response

open access: yesPhysics Letters B, 2018
Jet quenching in heavy ion collisions is expected to be accompanied by recoil effects, but unambiguous signals for the induced medium response have been difficult to identify so far. Here, we argue that modern jet substructure measurements can improve this situation qualitatively since they are sensitive to the momentum distribution inside the jet.
Guilherme Milhano   +2 more
openaire   +3 more sources

Learnable cut flow for high energy physics

open access: yesJournal of High Energy Physics
Neural networks have emerged as a powerful paradigm for tasks in high energy physics, yet their opaque training process renders them as a black box.
Jing Li, Hao Sun
doaj   +1 more source

Additively Manufactured Geometry‐Reconfigurable Soft Neural Probes With Monolithic Multifunctionality

open access: yesAdvanced Functional Materials, EarlyView.
A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee   +15 more
wiley   +1 more source

Is infrared-collinear safe information all you need for jet classification?

open access: yesJournal of High Energy Physics
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics.
Dimitrios Athanasakos   +4 more
doaj   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

open access: yesAdvanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong   +10 more
wiley   +1 more source

Beyond Thin Film Limits—Superhard and Hydrogen‐Free Amorphous Carbon Coatings With Over 100 µm Thickness

open access: yesAdvanced Functional Materials, EarlyView.
For the first time, an extreme‐thick laser‐arc PVD ta‐C (DLC) coating exceeding 100 µm is demonstrated, opening up new possibilities for ultra‐high load bearing capacity. This superhard amorphous carbon architecture combines >50% sp3 bonding, robust adhesion and self‐supporting performance, shielding substrates from plastic flow under extreme contact ...
Martin Zawischa   +3 more
wiley   +1 more source

Self‐Powered, Ultra‐Sensitive InGaAs/ITO Nanowire Radial Junction Infrared Photodiode for Low Flux Imaging at Room Temperature

open access: yesAdvanced Functional Materials, EarlyView.
This study reports a self‐powered InGaAs nanowire photodetector achieving single‐photon‐level sensitivity in the shortwave infrared at non‐cryogenic temperatures. The device demonstrates high‐speed imaging capabilities even under extremely low‐flux conditions.
Kosala Dhanawansha   +10 more
wiley   +1 more source

Boosted objects and jet substructure at the LHC

open access: yes, 2013
This report of the BOOST2012 workshop presents the results of four working groups that studied key aspects of jet substructure. We discuss the potential of the description of jet substructure in first-principle QCD calculations and study the accuracy of state-of-the-art Monte Carlo tools.
Altheimer, A.   +86 more
openaire   +3 more sources

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