Publications related to On Analog Silicon Photomultipliers in Standard 55-nm BCD Technology for LiDAR Applications

Related publications (16)

Optical imaging of molecules and their dynamics from surfaces to nanoscale confinement

Molecular behavior can change dramatically at interfaces, and these changes become even more pronounced when molecules are confined within nanoscale dimensions. In living organisms, nanoscale channels play a crucial role in selectively transporting molecul ...

EPFL2024

Inkjet-Printed Soft Intelligent Medical Bracelet for Simultaneous Real-Time Sweat Potassium (K+), Sodium (Na+), and Skin Temperature Analysis

Sandro Carrara, Ata Jedari Golparvar, Ali Meimandi

Truly wearable, fully flexible, and multiparametric sweat analysis with soft and socially discrete packaging offers tremendous potential to enable the next generation of noninvasive digital biomarkers analysis. Several examples of miniaturized potentiometr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Editorial: Structural sensing for asset management

Eugen Brühwiler, Numa Joy Bertola

2023

Influence of gravity connections and damper activation forces on the seismic behavior of steel CBF buildings with dissipative floor connectors

Dimitrios Lignos, Martina Paronesso

This paper investigates the influence of typical gravity connections on the seismic demands of steel concentrically braced frame (CBF) buildings with friction dampers as dissipative floor connectors. The investigated connections include (i) typical shear t ...

WILEY2023

Behavioral adaptations to cold environments: A comparative study of active nomadic and modern sedentary lifestyles

Dolaana Khovalyg, Arnab Chatterjee

Modern occupants hardly use their capacity to adapt to the wide range of thermal environments due to living in well-insulated buildings with indoor climatization. However, climate change with associated health hazards necessitates exploring the limits of h ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Traveling discontinuity at the quantum butterfly front

Camille Didier Georges Aron

We formulate a kinetic theory of quantum information scrambling in the context of a paradigmatic model of interacting electrons in the vicinity of a superconducting phase transition. We carefully derive a set of coupled partial differential equations that ...

2023

Physical origins of optical anisotropy in quantum-confined semiconductors: The roles of valence band mixing, transition broadening, and state filling

Elyahou Kapon, Alok Rudra, Mikhail Lazarev

We investigate experimentally and theoretically the impact of valence band mixing and spectrum of confined states on the polarization of light emitted from or absorbed by GaAs/AlGaAs semiconductor quantum dots and quantum wires with tailored heterostructur ...

AIP Publishing2023

Running the Dual-PQC GAN on noisy simulators and real quantum hardware

Su Yeon Chang

In an earlier work [1], we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical simula ...

IOP PUBLISHING LTD2023

Evaporating water-cooled methanation reactor for solid-oxide stack-based power-to-methane systems: Design, experiment and modeling

Jan Van Herle, Philippe Aubin

The power-to-methane process using a solid-oxide electrolyser, followed by an exothermic methanation reactor, is effective for the production of an energy carrier (synthesis methane) that can be readily stored and transported at a large scale. A significan ...

ELSEVIER SCIENCE SA2023

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

Emilio Maddalena

This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters' operation, battery charging strategy, and initial ...

2023

Parametric Studies of the EU DEMO Central Solenoid

Pierluigi Bruzzone, Kamil Sedlák, Xabier Sarasola Martin

The Central Solenoid (CS) is at the core of the EU DEMO tokamak, and has a strong impact on the tokamak design and the overall machine size. By ramping its current, the CS generates a change of magnetic flux, which initiates the plasma, and induces and con ...

IEEE Institute of Electrical and Electronics Engineers2023

High-throughput computational solvent screening for lignocellulosic biomass processing

Jeremy Luterbacher, Anastasiia Komarova, Arpa Ghosh

Lignocellulose is one of the most promising renewable bioresources for the production of chemicals. For sustainable and competitive biorefineries, effective valorization of all biomass fractions is crucial. However, current efforts in lignocellulose fracti ...

2023

Development of a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary metal composite for heavy metal adsorption

Xinyi Huang

Heavy metal contamination has become one of the greatest global environmental problems. In this study, a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary-metal composite (MCHETC) was prepared through a combined co-precipitation ...

2023

Large-scale benchmarks of the time-warp/graph-theoretical kinetic Monte Carlo approach for distributed on-lattice simulations of catalytic kinetics

Giannis Savva

Motivated by the need to perform large-scale kinetic Monte Carlo (KMC) simulations, in the context of unravelling complex phenomena such as catalyst reconstruction and pattern formation, we extend the work of Ravipati et al. [S. Ravipati, G. D. Savva, I.-A ...

2023

Large deviations in the early Universe

Timothy Cohen

Fluctuations play a critical role in cosmology. They are relevant across a range of phenomena from the dynamics of inflation to the formation of structure. In many cases, these fluctuations are coarse grained and follow a Gaussian distribution as a consequ ...

American Physical Society2023

Facilitated machine learning for image-based fruit quality assessment

Fernando Perez Cruz

Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient. In many regions, implementing such systems can be difficult due to the lack of centralization and automation of postharvest supply chai ...

2023