Results 71 to 80 of about 171,003 (258)

17th International Conference on Calorimetry in Particle Physics (CALOR2016)

open access: yes, 2017
Preface Calorimetric particle detection with scintillation counters started in nuclear physics after World War II, and in the following seventy years calorimeters have become essential detectors in particle physics experiments providing measurements of ...

semanticscholar   +1 more source

Shape‐Changing Multiphase Microparticles from Complex Liquid Crystal Emulsions

open access: yesAdvanced Functional Materials, EarlyView.
Liquid crystalline network (LCN) microparticles are prepared from single, double (Janus), and triple emulsions through a simple and scalable bulk‐emulsification strategy. Under heating, the particles exhibit robust, reversible, large‐amplitude deformations that depend both on the morphology and the liquid crystals director field configuration.
Marco Turriani   +3 more
wiley   +1 more source

Water Permeates and Plasticizes Amorphous Carbon Dots: Unraveling the Inner Accessibility of the Nanoparticles by Glass Transition Studies

open access: yesAdvanced Materials, EarlyView.
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti   +8 more
wiley   +1 more source

Porous Bi2S3 Bulk With Excellent Thermoelectric Performance by Solid States Replacement and Low Melting‐Point Metal Volatilization

open access: yesAdvanced Materials, EarlyView.
By introducing FeCoNi medium‐entropy alloy, the bismuth sulfide (Bi2S3) material achieves a record‐high ZT of 1.1 at 773 K, owing to the solid‐states replacement reaction and the volatilization of low melting‐point metal. This strategy is also applicable to other sulfur‐based thermoelectric materials.
Zi‐Yuan Wang   +9 more
wiley   +1 more source

Performance of a geometric deep learning pipeline for HL-LHC particle tracking

open access: yesEuropean Physical Journal C: Particles and Fields, 2021
The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. Exa.TrkX’s tracking pipeline groups detector measurements to form track candidates and filters them.
Xiangyang Ju   +23 more
doaj   +1 more source

A High Throughput Microfluidic Approach for the Continuous Manufacture of Ibuprofen Nanocrystals

open access: yesAdvanced Materials Technologies, EarlyView.
A robust, continuous manufacturing platform using a high‐throughput microfluidic reactor addresses key scalability challenges in pharmaceutical production. This process efficiently generates crystalline ibuprofen nanoparticles with superior control over size and distribution.
Shorooq Abukhamees   +5 more
wiley   +1 more source

Mechanical and thermal design of the target neutral beam absorber for the High-Luminosity LHC upgrade

open access: yesPhysical Review Accelerators and Beams, 2022
The High-Luminosity target neutral beam absorber (TAXN) is the radiation absorber of the neutral particle debris generated at the beam collisions carried out in the ATLAS and CMS detectors at the Large Hadron Collider (LHC). The new absorber will protect
P. Santos Díaz   +21 more
doaj   +1 more source

Injectable and In Situ Hydration‐Reinforced Hybrid Bone Cements for Accelerated Bone Regeneration

open access: yesAdvanced Science, EarlyView.
To enable minimally invasive bone defect repair, an injectable and hydration‐reinforced bone cement (L‐PEGS/CPC) is designed through biomimetic reconstruction. The hydrophilic L‐PEGS organic phase provides abundant nucleation sites, synergizing with its porous architecture to accelerate CPC hydration, thereby endowing the composite with exceptional ...
Xing Chen   +7 more
wiley   +1 more source

Deep-learned Top Tagging with a Lorentz Layer

open access: yes, 2018
We introduce a new and highly efficient tagger for hadronically decaying top quarks, based on a deep neural network working with Lorentz vectors and the Minkowski metric.
Butter, Anja   +3 more
core   +1 more source

Experimental Tests of Particle Flow Calorimetry [PDF]

open access: yes, 2015
Precision physics at future colliders requires highly granular calorimeters to support the Particle Flow Approach for event reconstruction. This article presents a review of about 10 - 15 years of R\&D, mainly conducted within the CALICE collaboration ...
Kawagoe, Kiyotomo   +4 more
core   +4 more sources

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