Results 261 to 270 of about 1,786,533 (325)

Computational Physics

2016
Το βιβλίο έρχεται να καλύψει ένα σημαντικό κενό στην ελληνική επιστημονική βιβλιογραφία στο πεδίο του εισαγωγικού επιστημονικού προγραμματισμού για μηχανικούς και επιστήμονες. Βασίζεται σε τρία μαθήματα που ο συγγραφέας έχει θεμελιώσει και διδάξει από το 2004 στο ΕΜΠ και απευθύνεται κυρίως σε 3ετείς και 4ετείς προπτυχιακούς φοιτητές σχολών θετικών ...
  +4 more sources

Student experiences in a computational physics lab through the lens of physics computational literacy

Physics Education Research Conference Proceedings
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Luke Nearhood, Patti C. Hamerski
semanticscholar   +1 more source

Machine learning for modelling unstructured grid data in computational physics: a review

Information Fusion
Unstructured grid data are essential for modelling complex geometries and dynamics in computational physics. Yet, their inherent irregularity presents significant challenges for conventional machine learning (ML) techniques.
Sibo Cheng, M. Bocquet, Weiping Ding, T. S. Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, M. Piggott, César A. Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci   +22 more
semanticscholar   +1 more source

Physical computation

Concurrency: Practice and Experience, 1991
AbstractPhysical computation embraces a variety of physical analogies used to tackle non‐traditional problems. We describe Monte Carlo and deterministic methods, including simulated annealing and neural networks. Applications include economic change in Eastern Europe, the travelling salesman problem, vehicle navigation, track finding, and parallel ...
openaire   +1 more source

Physics’ Evolution Toward Computing

International Journal of Theoretical Physics, 2020
The paper is devoted to the problem of describing quantum computing by using quantum mechanics: The authors show various multiple operations through both the superposition and the phase factor connected by the phase kick-back formation. The authors review the construction of logical functions in a Boolean algebra, like AND, OR, XOR, and in general the ...
Tadao Nakamura, Koji Nagata
openaire   +2 more sources

Computer Supported Physics Experiments

AIP Conference Proceedings, 2007
The use of computer in physics experiments simplifies getting data. It also gives a great convenience in calculation and getting graphs that helps interpretation of the results. It’s possible to use a computer as a measurement device by correct interface system and software.
Istanbullu D.N., Dumanoglu I.
openaire   +1 more source

Computational Physics

Computers in Physics, 1997
Nicholas J. Giordano, Marvin L. De Jong, Susan R. McKay, Wolfgang Christian   +3 more
  +5 more sources

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

Computational Mechanics, 2022
Jinshuai Bai, T. Rabczuk, Ashish Gupta, Laith Alzubaidi, Yuantong T. Gu   +4 more
semanticscholar   +1 more source

A comprehensive review of advances in physics-informed neural networks and their applications in complex fluid dynamics

The Physics of Fluids
Physics-informed neural networks (PINNs) represent an emerging computational paradigm that incorporates observed data patterns and the fundamental physical laws of a given problem domain.
Chi Zhao, Feifei Zhang, Wenqiang Lou, Xi Wang, Jianyong Yang   +4 more
semanticscholar   +1 more source

Physical computation and parallelism (constructive postmodern physics)

Proceedings Workshop on Physics and Computation. PhysComp '94, 1998
There is increasing evidence that information may be the basic stuff of the Universe. We consider this proposition in the light of Bohm and Hiley's Quantum Potential, the work of the ANPA group on the Combinatorial Hierarchy, and the Natural Philosophies of Gabriel Kron and Maurice Jassel.
openaire   +1 more source