Publications associées à Grassmannian diffusion maps based surrogate modeling via geometric harmonics

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Jan Sickmann Hesthaven, Nicolò Ripamonti, Cecilia Pagliantini

. High-resolution simulations of particle-based kinetic plasma models typically require a high number of particles and thus often become computationally intractable. This is exacerbated in multi-query simulations, where the problem depends on a set of para ...

AMER MATHEMATICAL SOC2023

Device, system, and method for ion fragmentation by use of an ion mobility device and messenger tagging

Thomas Rizzo, Ahmed Ben Faleh, Stephan Warnke

A device for fragmenting ions by collision induced dissociation, the device intended to be used together with a planar ion mobility apparatus, the device including a first conductive grid having a plurality of first openings, the first conductive grid conf ...

2023

Universal machine learning for the response of atomistic systems to external fields

Yaolong Zhang

Machine learned interatomic interaction potentials have enabled efficient and accurate molecular simulations of closed systems. However, external fields, which can greatly change the chemical structure and/or reactivity, have been seldom included in curren ...

Berlin2023

Conceptual study for velocity space resolved thermal ion loss detection in tokamaks

A new concept for velocity space thermal ion loss detection is presented. This diagnostic provides pitch angle resolved measurements that are unfeasible with current diagnostics. It uses the same detection principle as the Fast-Ion Loss Detector with a sci ...

2022

Capacitive sensor to monitor the level of drug inside an injector pen

Sylvain Paul Fernand Joly

Diabete is a disease which is spreading faster than ever, impacting now a larger population. Patients suffering from this disease need the injection of insulin to control extracellular sugar levels. Pharmaceutical companies developed injector pens to allow ...

EPFL2021

Quantitative Mapping of the Charge Density in a Monolayer of MoS2 at Atomic Resolution by Off-Axis Electron Holography

Andras Kis, Dumitru Dumcenco, Dmitry Ovchinnikov

The electric potential, electric field, and charge density of a monolayer of MoS2 have been quantitatively measured at atomic-scale resolution. This has been performed by off-axis electron holography using a double aberration-corrected transmission electro ...

2020

Experimental verification of X-point potential well formation in unfavorable magnetic field direction

Basil Duval, Holger Reimerdes, Christian Gabriel Theiler, Joaquim Loizu Cisquella, Sophie Danielle Angelica Gorno, Claudia Colandrea, Marco Wischmeier, Cedric Kar-Wai Tsui, Mirko Wensing, Hugo De Oliveira

Recent TCV experiments confirm the predicted formation of an electric potential well, below the magnetic X-point, in configurations with unfavorable

B_t

field direction (ion

\nabla B

drift away from the divertor), that substantially reshapes the typica ...

2020

Negative capacitance semiconductor sensor

Mihai Adrian Ionescu, Ali Saeidi, Francesco Bellando

The present invention relates to a semiconductor sensor (1) comprising: a source element (17, 19); a drain element (21, 23); a semiconductor channel element (25) between the source element (17, 19) and the drain element (21, 23) for forming an electrically ...

2020

Generalized and Reduced Analytical Formulation for Ultra-Fast 3-D Field and Vector Potential Calculation From Arch-Shaped Axially Magnetized Bodies in Electrical Machines

Basile Kawkabani, Frédéric Michael Maurer

Arch-shaped axially magnetized bodies tend to appear frequently in electrical machine analysis such as in the overhang parts of the classical radial-flux machines as well as in the main parts of the axial-flux machines. The calculation of the 3-D fields or ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

X-point potential well formation in diverted tokamaks with unfavorable magnetic field direction

Basil Duval, Holger Reimerdes, Joaquim Loizu Cisquella, Marco Wischmeier, Mirko Wensing

Fluid simulations of the boundary of fusion plasmas predict the formation of an electric potential well in the vicinity of the X-point in detached divertor conditions with Bt in the unfavorable direction for H-mode access. This potential well arises when t ...

2020

Grassmannian diffusion maps based surrogate modeling via geometric harmonics

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Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Device, system, and method for ion fragmentation by use of an ion mobility device and messenger tagging

Universal machine learning for the response of atomistic systems to external fields

Conceptual study for velocity space resolved thermal ion loss detection in tokamaks

Capacitive sensor to monitor the level of drug inside an injector pen

Quantitative Mapping of the Charge Density in a Monolayer of MoS2 at Atomic Resolution by Off-Axis Electron Holography

Experimental verification of X-point potential well formation in unfavorable magnetic field direction

Negative capacitance semiconductor sensor

Generalized and Reduced Analytical Formulation for Ultra-Fast 3-D Field and Vector Potential Calculation From Arch-Shaped Axially Magnetized Bodies in Electrical Machines

X-point potential well formation in diverted tokamaks with unfavorable magnetic field direction

Device, system, and method for ion fragmentation by use of an ion mobility device and messenger tagging

Capacitive sensor to monitor the level of drug inside an injector pen

Experimental verification of X-point potential well formation in unfavorable magnetic field direction

Generalized and Reduced Analytical Formulation for Ultra-Fast 3-D Field and Vector Potential Calculation From Arch-Shaped Axially Magnetized Bodies in Electrical Machines

Negative capacitance semiconductor sensor

Quantitative Mapping of the Charge Density in a Monolayer of MoS2 at Atomic Resolution by Off-Axis Electron Holography

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Universal machine learning for the response of atomistic systems to external fields

Conceptual study for velocity space resolved thermal ion loss detection in tokamaks

X-point potential well formation in diverted tokamaks with unfavorable magnetic field direction