Publications associées à Dipole

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Mohammad Khaja Nazeeruddin, Bin Ding, Xianfu Zhang, Bo Chen, Chaohui Li, Yan Liu

Utilization of small molecules as passivation materials for perovskite solar cells (PSCs) has gained significant attention recently, with hundreds of small molecules demonstrating passivation effects. In this study, a high-accuracy machine learning model i ...

Wiley-VCH Verlag Gmbh2024

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 ...

Nature Portfolio2023

Frequency and time domains interactions in nanophotonics

Andrei Kiselev

In this thesis, we discuss the problems of scattering and optical manipulation related to nanosystems of different complexities. The multipolar decomposition method is used to represent scattering processes in nanosystems as a series of elementary excitati ...

EPFL2023

A Multiconfigurational Wave Function Implementation of the Frenkel Exciton Model for Molecular Aggregates

Francesco Aquilante

We present an implementation of the Frenkel exciton model into the OpenMolcas program package enabling calculations of collective electronic excited states of molecular aggregates based on a multiconfigurational wave function description of the individual ...

AMER CHEMICAL SOC2023

Materials engineering for improved stability of perovskite solar cells

Yeonju Kim

Halide perovskites have gained tremendous attention over the past decade, but the poor stability of perovskite solar cells (PSCs) under operating conditions hampers their practical application. This thesis investigates materials that can be used to enhance ...

EPFL2023

Diffusion-Bonding Between Strands and Modeling of Splices of Nb3Sn Rutherford Cables

Pierluigi Bruzzone, Kamil Sedlák, Nikolay Bykovskiy

Particle accelerators foresee the use of Nb3Sn in the next generation of dipole magnets. A common design strategy is to grade the coil, i.e., to optimize the quantity of superconductor in the turns with respect to the magnetic field intensity. As a consequ ...

IEEE Institute of Electrical and Electronics Engineers2022

Controlling the magnetic and electric responses of dielectric nanoparticles via near-field coupling

Olivier Martin, Andrei Kiselev

Among the two materials families used in nanophotonics, the fundamental mode for metal nanostructures is electric, while that for dielectric nanostructures is magnetic. Consequently, the optical properties of hybrid dimers that incorporate both materials h ...

2022

Impact of dipole-dipole interactions on motility-induced phase separation

Ignacio Pagonabarraga Mora, Elena Sesé Sansa

We present a hydrodynamic theory for systems of dipolar active Brownian particles which, in the regime of weak dipolar coupling, predicts the onset of motility-induced phase separation (MIPS), consistent with Brownian dynamics (BD) simulations. The hydrody ...

ROYAL SOC CHEMISTRY2022

Characterization of the Radiation Resistance of Glass Fiber Reinforced Plastics for Superconducting Magnets

Sandra Sequeira Lopes Tavares

The overall performance of accelerator magnets strongly relies on electrical and mechanical robustness of their components. With an increase of the energy, future particle accelerators will have to withstand integral doses of ionizing radiation of up to se ...

IEEE Institute of Electrical and Electronics Engineers2022

Dipole polarizability of time-varying particles

Romain Christophe Rémy Fleury, Theodoros Koutserimpas, Mohammad Sajjad Mirmoosa

Invariance under time translation (or stationarity) is probably one of the most important assumptions made when investigating electromagnetic phenomena. Breaking this assumption is expected to open up novel possibilities and result in exceeding conventiona ...

2022