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Now showing items 1-12 of 12
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2022)
This paper shows the feasibility of combining robust motion primitives generated through the Sums Of Squares programming theory with a discrete Rapidly exploring Random Tree algorithm. The generated robust motion primitives, ...
A modified dividing local Gaussian processes algorithm for theoretical particle physics applications
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)
We explore the use of dividing local Gaussian processes in the context of theoretical particle physics. We adapt an existing algorithm to the specific problem, trading some speed for a better precision. An intensive ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2021)
Dette kapitlet retter et kritisk, men konstruktivt blikk på naturfag, og foretar en gjennomgang av naturfag og naturfagdidaktikk innen forskning og i praksis. Kapitlet starter med å beskrive og diskutere naturfagets ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
This chapter traces the historical development of scientific models about gravity from antiquity to modern times. It is intended for readers who wish to learn more about historical perspectives of gravity, and also, for ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
The familiar phenomenon of gravity offers different instructional entryways to Einsteinian concepts of space, time, and matter. This chapter explores the links between space, time, and matter in general relativity. It is ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2021)
This chapter traces the sequence of discoveries which convinced physicists of the need to replace classical theories of light and matter. It is intended for readers who wish to learn how Einsteinian physics emerged through ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
Direct imaging of the accumulation of magnetic flux and antiflux resulted from the excitation of vortex-antivortex pairs inside thin superconducting films is reported. Thin-film superconductors, like YBa2Cu3O7/PrBa2Cu3O7 ...
Effectiveness of Neural Networks for Research on Novel Thermoelectric Materials. A Proof of Concept.
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This paper describes the application of neural network approaches to the discovery of new materials exhibiting thermoelectric properties. Thermoelectricity is the ability of a material to convert energy from heat to ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
We report an unusual effect of channeled magnetic flux motion in YBa2Cu3O7−δ/PrBa2Cu3O7−δ superlattices grown by pulsed laser deposition. Magneto-optical imaging reveals that flux moves along a set of parallel and perpendicular ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Plasma accelerators support accelerating fields of 10-100’s of GV/m over meter-scale distances and routinely produce femtosecond-scale, multi-kA electron bunches. The so called Trojan Horse underdense photocathode plasma ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
Wafer-level thermocompression bonding (TCB) using aluminum (Al) is presented as a hermetic sealing method for MEMS. The process is a CMOS compatible alternative to TCB using metals like gold (Au) and copper (Cu), which are ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2016)
The thermoelectric material ZnSb has been studied intensively in recent years and has shown promising features. The other zinc-antimonide compound, Zn4Sb3 has remarkable low thermal conductivity, but it is accompanied with ...