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
Accelerated Discovery of 3D Printing Calcium Sulphoaluminate Cement Composites Using Data-Driven Multi-Objective Optimization. [PDF]
Liu Y +6 more
europepmc +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Multi-objective optimization of urban blue-green space configuration using NSGA-II for enhanced ecosystem services. [PDF]
Yuan Y +6 more
europepmc +1 more source
Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang +4 more
wiley +1 more source
Modeling and multi-objective optimization of student engagement in virtual learning environments: a hybrid PDE-NSGA-II framework for digital music education. [PDF]
Qiao X.
europepmc +1 more source
Trions as Fundamental Species in Chemically Doped Polymer Semiconductors
This work shows that exciton–charge carrier coupling in doped polymer semiconductors gives rise to multi‐particle states, including trions—quasiparticles consisting of two holes and one electron under p‐doping—and bound exciton‐hole pairs, as identified through spectroscopic and theoretical analysis.
Hongmo Li +23 more
wiley +1 more source
Multi-objective optimization in population pharmacokinetic model selection and optimization: application of NSGA-II in pyDarwin. [PDF]
Li X +5 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
IRCMO: Biologically Inspired Dual-Population Coevolution via Immune Tolerance and Homeostatic Resource Allocation for Constrained Multi-Objective Optimization. [PDF]
Chen X, Li Y, Li X, Yang Y.
europepmc +1 more source

