Microfluidic optical sorting: particle selection in an optical lattice

2004 ◽  
Author(s):  
Michael P. MacDonald ◽  
Steven Neale ◽  
Lynn Paterson ◽  
Andrew Riches ◽  
Gabriel C. Spalding ◽  
...  
Keyword(s):  
Optical Lattice ◽  
Particle Selection ◽  
Optical Sorting

Dynamics and spatial order of atoms confined in an optical lattice

1997 ◽  
Vol 44 (10) ◽  
pp. 1853-1862
Author(s):  
A. GORLITZ , T. HANSCH and A. HEMMERIC
Keyword(s):  
Optical Lattice ◽  
Spatial Order

Prediction of momentum distribution of supercooled atoms in optical lattice using convolutional-recurrent network

2020 ◽  
Vol 28 (7) ◽  
pp. 1480-1484
Author(s):  
Yun-hong LI ◽  
◽  
Hong-hao LI ◽  
Da WEN ◽  
Fan-su WEI ◽  
...  
Keyword(s):  
Momentum Distribution ◽  
Optical Lattice ◽  
Recurrent Network

Probing Bloch oscillations using a slow-light sensor

2020 ◽  
Vol 9 (5) ◽  
pp. 243-246
Author(s):  
Pei-Chen Kuan ◽  
Chang Huang ◽  
Shau-Yu Lan
Keyword(s):  
Phase Shift ◽  
Optical Lattice ◽  
Cold Atoms ◽  
Slow Light ◽  
Internal State ◽  
Electromagnetically Induced Transparency ◽  
Bloch Oscillations ◽  
Bloch Oscillation ◽  
Induced Transparency ◽  
Transparency Condition

AbstractWe implement slow-light under electromagnetically induced transparency condition to measure the motion of cold atoms in an optical lattice undergoing Bloch oscillation. The motion of atoms is mapped out through the phase shift of light without perturbing the external and internal state of the atoms. Our results can be used to construct a continuous motional sensor of cold atoms.

scholarly journals A FMEA Based Method for Analyzing and Prioritizing Performance Risk at the Conceptual Stage of Performance PSS Design

2021 ◽  
Vol 1 ◽  
pp. 81-90
Author(s):  
John Bake Sakwe ◽  
Marcus Pereira Pessoa ◽  
Sipke Hoekstra
Keyword(s):  
Failure Modes ◽  
Manufacturing Companies ◽  
Performance Risk ◽  
Performance Contracts ◽  
Product Service ◽  
Optical Sorting ◽  
Fmea Method ◽  
Performance Challenges ◽  
Product Service Systems

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.

Continuous optical sorting of nanoscale biomolecules in integrated microfluidic-nanophotonic chips

2021 ◽  
Vol 331 ◽  
pp. 129428 ◽  
Author(s):  
Haitao Zhao ◽  
Lip Ket Chin ◽  
Yuzhi Shi ◽  
Patricia Yang Liu ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Optical Sorting

scholarly journals Quantum droplets of bosonic mixtures in a one-dimensional optical lattice

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Ivan Morera ◽  
Grigori E. Astrakharchik ◽  
Artur Polls ◽  
Bruno Juliá-Díaz
Keyword(s):  
Optical Lattice ◽  
One Dimensional

scholarly journals Stability of supercurrents in a superfluid phase of spin-1 bosons in an optical lattice

2021 ◽  
Vol 103 (4) ◽  
Author(s):  
Shion Yamashika ◽  
Ryosuke Yoshii ◽  
Shunji Tsuchiya
Keyword(s):  
Optical Lattice ◽  
Superfluid Phase
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