Results 61 to 70 of about 66,452 (290)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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 +3 more
wiley +1 more source
The Axiomatic Characterization of the Grey Shapley Value
One of the most significant solution concepts in cooperative grey game theory is the grey Shapley value. This value is a fascinating one among the models and methods of operations research, and has been the subject of extensive study by other researchers.
Mehmet Gençtürk +2 more
doaj +1 more source
Hybrid Approach of DEA and Game Theory in Order to Rank the Effectiveness of BSC Indicators in Efficiency Evaluation of Organization (The Case: Media Industry) [PDF]
Data Envelopment Analysis and Balanced Scorecard, are two common tools that have been used by many researchers for performance evaluation. But none of them investigate effectiveness of BSC indicators in efficiency evaluation. Due to complexity of mission
Alireza Alinezhad, seyed reza Zamani
doaj +1 more source
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu +9 more
wiley +1 more source
In order to ensure joint operation of wind-PV-hydro complementary generation system with cascade hydro-power owned by multiple stakeholders, an equitable and efficient allocating mechanism for incremental benefit is of great importance.
Jun Xie +4 more
doaj +1 more source
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
The Shapley Value, Proper Shapley Value, and Sharing Rules for Cooperative Ventures [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van den Brink, Rene +2 more
openaire +5 more sources
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Matrix analysis for associated consistency in cooperative game theory [PDF]
Hamiache's recent axiomatization of the well-known Shapley value for TU games states that the Shapley value is the unique solution verifying the following three axioms: the inessential game property, continuity and associated consistency.
Driessen, T.S.H., Sun, H., Xu, G.
core +1 more source
Emerging Advanced Electronic Packaging Materials for Thermal Management in Power Electronics
This review surveys emerging materials for thermal management in advanced electronic packaging, with emphasis on ceramic substrates and thermal interface materials. Multiscale simulations and mechanistic analyses are highlighted, alongside the emerging role of artificial intelligence in predicting thermal properties and guiding design, offering ...
Yongjun Huo +11 more
wiley +1 more source

