Results 91 to 100 of about 263,757 (350)

Halogen‐Bond Coupled Halogenated‐π‐Conjugation Enables Giant Birefringence in Hydrogen‐Bonded Organic Frameworks

open access: yesAdvanced Science, EarlyView.
The perfect crystal packing achieved via the halogen‐bond (XB) coupled halogenated‐π‐conjugation strategy effectively induces an ultrahigh birefringence (Δn = 0.97), which exhibits promising potential in polarization control and phase modulation.
Miao‐Bin Xu   +6 more
wiley   +1 more source

Efficient management of backtracking in and-parallelism

open access: yes, 1986
A backtracking algorithm for AND-Parallelism and its implementation at the Abstract Machine level are presented: first, a class of AND-Parallelism models based on goal independence is defined, and a generalized version of Restricted AND-Parallelism (RAP)
Hermenegildo, Manuel V., Nasr, Roger I.
core  

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

The collective computing model

open access: yesJournal of Computer Science and Technology, 2000
The parallel computing model used in this paper, the Collective Computing Model (CCM), is a variant of the well-known Bulk Synchronous Parallel (BSP) model. The synchronicity imposed by the BSP model restricts the set of available algorithms and prevents
Jesús Alberto Gonzalez   +6 more
doaj  

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Iterative Reconstruction of Micro Computed Tomography Scans Using Multiple Heterogeneous GPUs

open access: yesSensors
Graphics processing units (GPUs) facilitate massive parallelism and high-capacity storage, and thus are suitable for the iterative reconstruction of ultrahigh-resolution micro computed tomography (CT) scans by on-the-fly system matrix (OTFSM) calculation
Wen-Hsiang Chou   +3 more
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Figures of Argument (OSSA 2005 Keynote Address)

open access: yesInformal Logic, 2004
From the seventeenth through the nineteenth centuries, scientists such as Kekule, Mendel, Lavoisier and Harvey argued for insights that depended critically on antithetical expressions and reasoning.
Jeanne Fahnestock
doaj   +1 more source

Handling Parallelism in a Concurrency Model

open access: yes, 2013
Programming models for concurrency are optimized for dealing with nondeterminism, for example to handle asynchronously arriving events. To shield the developer from data race errors effectively, such models may prevent shared access to data altogether ...
Meyer, Bertrand   +2 more
core   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

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