Results 31 to 40 of about 1,612,001 (340)
A mechanism for reduced compression in indirectly driven layered capsule implosions
High-yield implosions on the National Ignition Facility rely on maintaining low entropy in the deuterium–tritium fuel, quantified by its adiabat, in order to efficiently couple energy to the hot spot through high compression of the fuel layer. We present
B. Haines+6 more
semanticscholar +1 more source
Gintropy: Gini Index Based Generalization of Entropy
Entropy is being used in physics, mathematics, informatics and in related areas to describe equilibration, dissipation, maximal probability states and optimal compression of information.
Tamás S. Biró, Zoltán Néda
doaj +1 more source
Fast and Efficient Entropy Compression of ALICE Data using ANS Coding [PDF]
In LHC Run 3, the upgraded ALICE detector will record 50 kHz Pb-Pb collisions using continuous readout. The resulting stream of raw data to be inspected increases to ~ 1 TB/s a hundredfold increase over Run 2 must be processed with a set of lossy and ...
Lettrich Michael
doaj +1 more source
Physical Mechanism of Concrete Damage under Compression [PDF]
Although considerable effort has been taken regarding concrete damage, the physical mechanism of concrete damage under compression remains unknown. This paper presents, for the first time, the physical reality of the damage of concrete under compression in the view of statistical and probabilistic information (SPI) at the mesoscale.
Liu, Hankun+3 more
openaire +2 more sources
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators [PDF]
This paper presents a novel pre-trained language models (PLM) compression approach based on the matrix product operator (short as MPO) from quantum many-body physics.
Peiyu Liu+5 more
semanticscholar +1 more source
Physics of compressed baryonic matter [PDF]
The experimental investigation of the QCD phase diagram with heavy ion collisions is an ongoing intense research topic at international accelerator facilities since the 80's and recently got new boost with the first results from the LHC experiments. Together with results from the top RHIC energies they investigate partonic matter in every detail at ...
openaire +2 more sources
Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems
Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing ultrasound signals before and after a light compression. The lateral resolution of ultrasound is much inferior to the axial resolution.
Chun-Teh Chen, Grace X. Gu
semanticscholar +1 more source
Hot-mode accretion and the physics of thin-disk galaxy formation [PDF]
We use FIRE simulations to study disk formation in z ∼ 0, Milky Way-mass galaxies, and conclude that a key ingredient for the formation of thin stellar disks is the ability for accreting gas to develop an aligned angular momentum distribution via ...
Zachary Hafen+18 more
semanticscholar +1 more source
Experiments of cylindrical isentropic compression by ultrahigh magnetic field
The high Explosive Magnetic Flux Implosion Compression Generator (EMFICG) is a kind of unique high energy density dynamic technique with characters like ultrahigh pressure and low temperature rising and could be suitable as a tool of cylindrical ...
Gu Zhuowei+6 more
doaj +1 more source