Results 91 to 100 of about 55,131 (288)

Parallelized Inference for Gravitational-Wave Astronomy

, 2019
Bayesian inference is the workhorse of gravitational-wave astronomy, for example, determining the mass and spins of merging black holes, revealing the neutron star equation of state, and unveiling the population properties of compact binaries.
Poole, Gregory B., Smith, Rory, Talbot, Colm, Thrane, Eric   +3 more
core   +1 more source

Positively Charged Polymer‐Brush MOFs for Large‐Area, Pressure‐Resistant Gas Separation Membranes

Advanced Materials, EarlyView.
A universal POPA strategy enables positively charged polymer‐brush MOFs with self‐adaptive interfacial interlocking to resist aggregation under fast processing. This design ensures seamless dispersion within large‐area selective layers, achieving 1 m‐wide roll‐to‐roll fabrication of pressure‐resistant MMCMs with tunable CO2 separation performance ...
Yi Yang, Ye Yuan, Yuxiu Sun, Fei Shi, Chenyang Song, Weifan Wang, Qinghua Li, Menglong Sheng, Zhihua Qiao, Jingwei Hou, Anthony K. Cheetham, Zhi Wang   +11 more
wiley   +1 more source

Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm

, 2017
We present an improvement of our implementation of the Correlation Technique for the Fourier Domain Acceleration Search (FDAS) algorithm on Graphics Processor Units (GPUs) (Dimoudi & Armour 2015; Dimoudi et al. 2017).
Adámek, Karel, Armour, Wesley, Dimoudi, Sofia, Giles, Mike   +3 more
core  

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

Advanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed, Yu‐Hsuan Peng, Azra Atabay, Krishna Gupta, Toni Müller, Carolin Fischer, Ilka M. Hermes, Jens‐Uwe Sommer, Michael Lang, Elisha Krieg   +9 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

An Integrated Hydrological–Hydrodynamic Model Based on GPU Acceleration for Catchment-Scale Rainfall Flood Simulation

Atmosphere
Extreme rainstorms are difficult to predict and often result in catchment-scale rainfall flooding, leading to substantial economic losses globally.
Ruixiao Ma, Hao Han, Zhaoan Zhang
doaj   +1 more source

Some Experiences of Improving the Speed of Numerical Navier-Stokes Solver Using CUDA

Journal of Algorithms & Computational Technology, 2014
In this paper, the Graphics Processor Unit (GPU) is adopted to accelerate the codes of solving incompressible Navier-Stokes equations with two fully different numerical schemes: spectral method and finite difference method. Compared with the codes on CPU,
Kaiyuan Lou, Qiaohong Li, Zhaohua Yin
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source