Results 131 to 140 of about 140,252 (207)
Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima
ABSTRACT Standard deep learning optimisation is typically conducted on shape‐fixed loss surfaces. However, shape‐fixed loss surfaces may impede optimisers from reaching flat regions closely associated with strong generalisation. In this work, we propose a new paradigm named deformation mapping to deform the loss surface during optimisation.
Liangming Chen +4 more
wiley +1 more source
The Priming Effect of Auxiliary Line Construction on Mathematical Creative Thinking: An fNIRS Study. [PDF]
Zhang C +5 more
europepmc +1 more source
Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation. [PDF]
Fabbri F +4 more
europepmc +1 more source
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang +7 more
wiley +1 more source
Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang +4 more
wiley +1 more source
Inverse design of cellular structures with the targeted nonlinear mechanical response. [PDF]
Nakarmi S +6 more
europepmc +1 more source
An LLM‐Driven Approach for Power Grid Structure Synthesis and Visualization
Abstract Research in power system is persistently hampered by the scarcity of high‐fidelity, public grid data due to security and privacy constraints. Existing unimodal synthesis methods fail to harmonize physical laws, visual representations and semantic descriptions, obstructing the application of multimodal large language models (LLMs) in the energy
Binye Ni +6 more
wiley +1 more source
PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
europepmc +1 more source
ABSTRACT Periodic lattice material (PLM) is an innovative material system capable of rapidly and efficiently constructing functionally graded materials (FGMs). Among various PLM structures, triply periodic minimal surfaces (TPMS) exhibit numerous advantages, making TPMS‐based lattice materials a potential candidate to electrical FGMs.
Zihao Liu +7 more
wiley +1 more source
Realizing Shor's algorithm with topological acoustic phase bits. [PDF]
Kuk I +4 more
europepmc +1 more source

