An Energy Detection Receiver Robust to Multi-User Interference for IEEE 802.15.4a Networks

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Design Methodology for Wideband Bowtie Patch Antenna for 5G mmWave Applications

Millimeter wave (mmWave) frequencies has become a research area of interest in recent years because of providing broad available bandwidth and thus higher data rates. Wideband mmWave antenna is one of the important development areas in wireless communicati ...

IEEE2023

Laser-Induced Forward Transfer of Functional Microdevices

Zhiwei Yang

Laser-induced forward transfer (LIFT) technique is an emerging micro additive manufacturing (AM) technique that has been widely used to print a variety of materials. Distinguished from other nozzle-based AM techniques, LIFT operates without the existence o ...

EPFL2023

Transfer learning application of self-supervised learning in ARPES

Gabriel Aeppli

There is a growing recognition that electronic band structure is a local property of materials and devices, and there is steep growth in capabilities to collect the relevant data. New photon sources, from small-laboratory-based lasers to free electron lase ...

IOP Publishing Ltd2023

Improved Network-Calculus Nodal Delay-Bounds in Time-Sensitive Networks

Jean-Yves Le Boudec, Eleni Stai, Ehsan Mohammadpour

In time-sensitive networks, bounds on worst-case delays are typically obtained by using network calculus and assuming that flows are constrained by bit-level arrival curves. However, in IEEE TSN or IETF DetNet, source flows are constrained on the number of ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Chaotic microcomb-based parallel ranging

Tobias Kippenberg, Aleksandr Tusnin, Junqiu Liu, Anton Lukashchuk

The intrinsic random amplitude and phase modulation of 40 distinct lines of a microresonator frequency comb operated in the modulation instability regime are used to realize massively parallel random-modulation continuous-wave light detection and ranging, ...

Nature Publishing Group2023

Towards Uncovering the Mechanisms of Electrophile Sensing and Signaling

Chloé Rogg

Native reactive electrophile species (RES) such as 4-hydroxynonenal (HNE) act as cellular signals through covalent modification of kinetically-privileged electrophile sensor proteins. Research efforts in the field focus mainly on identifying these sensor p ...

EPFL2023

Unlocking Hidden Potential: Exploring the Complexities of Signaling in Immune Cell Activation to Optimize CAR Therapy

Mathieu Girardin

Chimeric antigen receptors (CARs) are synthetic, transmembrane proteins that trigger immune cell signaling following their engagement. They have been first utilized in T cells and later in natural killer (NK) cells to redirect their cytotoxicity toward a s ...

EPFL2023

A locally activatable sensor for robust quantification of organellar glutathione

Pablo Rivera Fuentes, Sarah Emmert, Gianluca Quargnali

Glutathione (GSH) is the main determinant of intracellular redox potential and participates in multiple cellular signalling pathways. Achieving a detailed understanding of intracellular GSH homeostasis depends on the development of tools to map GSH compart ...

NATURE PORTFOLIO2023

Broadband spectroscopy and inelastic light scattering on the canted antiferromagnet hematite for antiferromagnetic magnonics

Mohammad Hamdi

Collective spin excitations propagating in magnetically ordered materials are called spin waves (SWs) or magnons. They are promising for low-power and beyond-CMOS information processing, which do not suffer from the ohmic losses. SWs in ferromagnets (antif ...

EPFL2023

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

Naci Pekçokgüler

The crowdedness of the RF spectrum constitutes problems in communication, however it also accommodates large amount of useful information. This information can be used to determine existing signals and operating contexts. However, spectrum condition varies ...

EPFL2024

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Broadband spectroscopy and inelastic light scattering on the canted antiferromagnet hematite for antiferromagnetic magnonics

Mohammad Hamdi

EPFL2023

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

Naci Pekçokgüler

EPFL2024