Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
This paper focuses on the tensile cracking mechanisms of rock masses containing random fissures and conducts research based on the meshless numerical method. In view of the shortcomings in traditional ...
SANTA MONICA, Calif.--(BUSINESS WIRE)--Binarly, a leading firmware and software supply chain security company, has been awarded U.S. Patent No. 12,287,885 for its invention of a new method for ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.iecr.4c03141. Comparison of LS function discretization schemes: first ...
The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...
Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A Tokyo Tech ...
Abstract: This letter proposes a Lyapunov-based method of reducing the number of activation functions of a recurrent neural network (RNN) for its stability analysis. To the best of the authors’ ...
Abstract: A electromagnetic-circuital-thermal-mechanical mu- ltiphysics numerical method is proposed for the simulation of microwave circuits. The discontinuous Galerkin time-domain (DGTD) method is ...
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