Results 141 to 150 of about 16,671 (310)

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

Advanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke, Jackson Hoke, Shucheng Guo, Brittany Chan, Xi Chen   +4 more
wiley   +1 more source

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

IEEE Access
Federated learning (FL) is now considered a critical method for breaking down data silos. However, data encryption can significantly increase computing time, limiting its large-scale deployment.
Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao   +6 more
doaj   +1 more source

Research on GPU Acceleration for Monte Carlo Criticality Calculation

, 2014
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures due to the dependency between particles during the simulation.
Qi Xu, Ganglin Yu, Kan Wang
core   +1 more source

Protein Structuromics Reveals a Loop‐Controlled Half‐Open Active Pocket Conformation Throughout Fe(II)/α‐ketoglutarate‐Dependent Dioxygenase Catalytic Cycle

Advanced Science, EarlyView.
This study reveals a conserved half‐open active pocket in Fe(II)/α‐ketoglutarate‐dependent dioxygenases through protein structuromics, distinguished by structural features comprising highly flexible loop elements. Enhanced sampling simulations‐guided mutagenesis experiments elucidated how this flexible loop regulates pocket open/closed conformations ...
Lunjie Wu, Huan Liu, Songyin Zhao, Lei Qin, Jiarui Li, Jun Wang, Zixuan Dai, Jie Gu, Yan Xu, Feiran Li, Yao Nie   +10 more
wiley   +1 more source

Multi-GPU accelerated hydrodynamic model for rapid and high-resolution urban flood simulation

Shui kexue jinzhan
Traditional hydrodynamic models are often constrained by low computational efficiency，making it difficult to meet the demands of large-scale，high-accuracy flood forecasting and warning.
Boliang DONG, Chao TAN, Junqiang XIA, Shuailing GAO, Peifeng WANG, Siyuan LYU   +5 more
doaj   +1 more source

GPU cluster for acceleration of scientific and engineering applications in the context of higher education

Many fields of research now rely on High Performance Computing (HPC) systems which can process ever larger datasets, with increasing accuracy and speed. Many universities now provide a HPC service.
Newall, Matthew
core  

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

A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units [PDF]

Agent-based modeling is a technique for modeling dynamic systems from the bottom up. Individual elements of the system are represented computationally as agents.
Roshan M. D'Souza, Mikola Lysenko
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Bayesian Optimization With GPU Acceleration for Ocean Models

Journal of Geophysical Research: Machine Learning and Computation
Ocean general circulation models (OGCMs) contain numerous parameterizations of subgrid scale processes. The parameter tuning procedure is rarely reported and often done by hand.
Marta Agnieszka Mrozowska, James Avery, Aster Stoustrup, Roman Nuterman, Carl‐Johannes Johnsen, Asger Thormann, Markus Jochum   +6 more
doaj   +1 more source