Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Optimizing virtual power plant coordination through locational marginal flexibility under network constraints. [PDF]
Xie L, Li G, Xu M, Dong X, Tan Z.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Synergistic Low-Carbon Economic Dispatch of a Virtual Power Plant with Microencapsulated Carbon Capture and Demand Response. [PDF]
Liu H, Lu H.
europepmc +1 more source
Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley +1 more source
Economical management of virtual power plant source-network-load-storage in the context of electricity-carbon market. [PDF]
Zhang P, Zheng Y.
europepmc +1 more source
Ecological implications of anticipated electric power development /
"FWS/OBS ; 76/20.3"August 1977.Issued by National Power Plant Team of Power Plant Project for fish and wildlife biologists who review and make recommendations regarding electric power projects.On cover: Biological Services Program.Bibliography: p.
U.S. Fish and Wildlife Service. Office of Biological Services. +3 more
core
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
RETRACTION: Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background. [PDF]
Neuroscience CIA.
europepmc +1 more source

