Results 51 to 60 of about 31,720 (268)

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source

Historical biogeography of Thyrsophorini psocids and description of a new neotropical species of Thyrsopsocopsis (Psocodea: Psocomorpha: Psocidae)

European Journal of Taxonomy, 2016
When based on phylogenetic proposals, biogeographic historic narratives have a great interest for hypothesizing paths of origin of the current biodiversity.
Cristian Román-Palacios, Alfonso N. García Aldrete, Ranulfo González Obando   +2 more
doaj   +1 more source

Speculative Parallelization of Partially Parallel Loops [PDF]

, 2000
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops because they have complex or statically insufficiently defined access patterns. We have previously proposed a framework for their identification. We speculatively executed a loop as a doall, and applied a fully parallel data dependence test to determine if it
Francis H. Dang, Lawrence Rauchwerger
openaire   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Parallel assertions for debugging parallel programs [PDF]

Ninth ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMPCODE2011), 2011
A parallel program must execute correctly even in the presence of unpredictable thread interleavings. This interleaving makes it hard to write correct parallel programs, and also makes it hard to find bugs in incorrect parallel programs. A range of tools have been developed to help debug parallel programs, ranging from atomicity-violation and data-race
Daniel Schwartz-Narbonne, Feng Liu, Tarun Pondicherry, David I. August, Sharad Malik   +4 more
openaire   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

On the Parallelization of Square-Root Vélu’s Formulas

Mathematical and Computational Applications
A primary challenge in isogeny-based cryptography lies in the substantial computational cost associated to computing and evaluating prime-degree isogenies.
Jorge Chávez-Saab, Odalis Ortega, Amalia Pizarro-Madariaga   +2 more
doaj   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Strain‐Modulated Reconfigurable Optical Information Processing in Flexible Graphene/PDMS

Advanced Science, EarlyView.
Graphene/PDMS—a stable, mechanically robust, and highly tunable flexible composite, exhibits excellent strain‐tunability. The spatial self‐phase modulation (SSPM) effect can be reversibly and continuously modulated by strain. A strain‐gated optical switch can be constructed, thereby realizing reconfigurable optical logic gates and reversible switching ...
Zexin Cui, Lihua Tong, Yuehua Wang, Mengting Jiang, Jiaxu Sun, Huabo Song, Qifan Li, Guangyuan Cui, Churui Guo, Wentao Meng, Shaoya Wang, Yuee Chen, Yanling Wu, Xiaodan Xu   +13 more
wiley   +1 more source

Dual‐Mode Nanoporous SiO2 Memristors with Coexisting Volatile and Nonvolatile Dynamics for Reservoir Computing

Advanced Science, EarlyView.
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding, Tongjun Zhang, Li Shao, Nikolay Zhelev, Andrew L. Hector, Ruomeng Huang   +5 more
wiley   +1 more source