Predictive modeling and ranking of physicochemicals in <i>Aegle marmelos</i> using topological indices and multi-criteria decision-making techniques. [PDF]
Bhandari AN, B J.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Numerical simulations of blood flow in a stenosed artery using a multi-criteria decision-making Algorithm. [PDF]
Umar M +5 more
europepmc +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Three-way multi-criteria decision-making with linguistic information using prospect-regret theory and generalised TODIM for heart failure data analysis. [PDF]
Mandal P +4 more
europepmc +1 more source
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
Maintenance strategy selection for engineering systems based on multi-criteria decision making approach by using bipolar complex fuzzy prioritized aggregation operators. [PDF]
Xu Z, Rehman UU, Mahmood T, Zeng S.
europepmc +1 more source
Generating of Multi-Criteria Alternatives for Decision-Making in Electric Light Rail Control
The purpose is to research and evaluate genetic algorithms and scheduling theory methods for control of public electric transport. Methods of scheduling theory define criteria for time constraints for target functions of the optimal electric transport ...
Ļevčenkovs, Anatolijs +3 more
core
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Predictive modeling of influenza strain drugs using temperature-based topological indices and regression analysis via multi-criteria decision making techniques. [PDF]
Hayat H +3 more
europepmc +1 more source

