Results 221 to 230 of about 4,230 (297)

Fully Well-Balanced Methods for Schwarzschild-Euler Equation in Gullstrand-Painlevé Coordinates. [PDF]

open access: yesJ Sci Comput
Pimentel-García E   +3 more
europepmc   +1 more source

Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives

open access: yesAdvanced Electronic Materials, EarlyView.
The ability to pattern liquid metal is useful for making soft electrical and thermal devices. Dispensing liquid metal from a nozzle naturally results in the formation of spheroidal droplets, making direct‐write printing challenging. Liquid metal foams containing pockets of air can extrude as filaments, albeit inconsistently.
Febby Krisnadi   +3 more
wiley   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

open access: yesAdvanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende   +4 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Multiple outflows and delayed ejections revealed by early imaging of novae. [PDF]

open access: yesNat Astron
Aydi E   +41 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

A young gas giant and hidden substructures in a protoplanetary disk. [PDF]

open access: yesNat Astron
Ribas Á   +9 more
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

open access: yesAdvanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar   +9 more
wiley   +1 more source

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