Results 121 to 130 of about 32,461,519 (187)

Convergence Rates of Forward-Douglas-Rachford Splitting Method. [PDF]

J Optim Theory Appl, 2019
Molinari C, Liang J, Fadili J.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Learning-efficient spiking neural networks with multi-compartment spatio-temporal backpropagation. [PDF]

iScience
Liu Y, Wang Y, Zhang C, Yu L, Fang Y, Chen F.   +5 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Isotropic Q-fractional Brownian motion on the sphere: regularity and fast simulation. [PDF]

Philos Trans A Math Phys Eng Sci
Lang A, Müller B.
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Learning Networks from Wide-Sense Stationary Stochastic Processes. [PDF]

IEEE Trans Signal Inf Process Netw
Rayas A, Cheng J, Anguluri R, Deka D, Dasarathy G.   +4 more
europepmc   +1 more source

Estimation of the Continuous and Discontinuous Leverage Effects. [PDF]

J Am Stat Assoc, 2017
Aït-Sahalia Y, Fan J, Laeven RJA, Wang CD, Yang X.   +4 more
europepmc   +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

Korovkin type approximation theorems via statistical a-summability

Bu tez beş bölümden oluşmaktadır. İlk olarak temel tanımlara ve klasik Korovkin teoremine yer verilmiştir. Yoğunluk kavramı, istatistiksel yakınsaklık tanım ve teoremleri ifade edilmiş ayrıca yakınsaklıktan daha kuvvetli olan istatistiksel yakınsaklık ...
Yılmaz, Pelin
core