Results 51 to 60 of about 3,458,417 (246)

Structural and Thermodynamic Properties of the High-Entropy Alloy AlCoCrFeNi Based on First-Principles Calculations

Frontiers in Materials, 2020
During the past two decades, the high-entropy alloy AlCoCrFeNi has attracted much attention due to its outstanding thermal and mechanical properties under ambient conditions.
Juefei Wu, Zhen Yang, Zhen Yang, Jiawei Xian, Xingyu Gao, Deye Lin, Deye Lin, Haifeng Song, Haifeng Song   +8 more
doaj   +1 more source

Energy deposition and deflection of α particles in hot dense plasmas relevant to inertial confinement fusions

Nuclear Fusion, 2023
Based on the kinetic theory, improved T -matrix models for the continuous-slowing-down and the linear-energy-transfer stopping powers are established at the same level, where multiple scattering effects and the related transverse deflection are accounted
Chengliang Lin, Bin He, Yong Wu, Jianguo Wang   +3 more
doaj   +1 more source

Refined characterization of student perspectives on quantum physics [PDF]

, 2010
The perspectives of introductory classical physics students can often negatively influence how those students later interpret quantum phenomena when taking an introductory course in modern physics.
Charles Baily, Baily, Charles, Finkelstein, Noah D., Noah D. Finkelstein   +3 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Assessing students' understanding of computational modeling in physics [PDF]

Journal of Research in Science, Mathematics and Technology Education
Computational modeling is increasingly included in secondary physics curricula. In classroom practice, however, students often work with pre-designed computational models rather than constructing or modifying models themselves.
Roeland Boot, Wouter Van Joolingen, Kim Krijtenburg-Lewerissa   +2 more
doaj   +1 more source

Active learning algorithm for computational physics

Physical Review Research, 2020
In large-scale computations of physical problems, one often encounters the situation of having to determine a multidimensional function, which can be numerically costly when computing each point in this multidimensional space is already time-demanding ...
Juan Yao, Yadong Wu, Jahyun Koo, Binghai Yan, Hui Zhai   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Analysis of Students’ Difficulties in Applying Computational Thinking in Numerical Physics Learning

JPFT (Jurnal Pendidikan Fisika dan Teknologi)
Computational thinking skills are essential for numerical physics learning; however, students’ mastery of these skills remains considerably below expectations.
Wylla Agustiningrum, Himawan Putranta
doaj   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

Computational tool for learning electrostatic physics through the development of a disruptive methodology

, 2022
A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, Gauss’s law, Poisson’s equation, and Laplace’s equation with ...
Castro Casadiego, Sergio, Puerto, Karla, Ramírez Carvajal, Luis Eduardo, Castro Casadiego, Sergio Alexander   +3 more
core   +1 more source