DMARS_WGO: a deep reinforcement-driven hybrid metaheuristic for intelligent adaptive optimization. [PDF]
Yousif NR, El-Gendy EM, Haikal AY.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Convergence and parallelism in the evolution of plant metabolism. [PDF]
Scossa F +4 more
europepmc +1 more source
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach. [PDF]
Hangsun Y +4 more
europepmc +1 more source
Control of Polarization and Polar Helicity in BiFeO3 by Epitaxial Strain and Interfacial Chemistry
In BiFeO3 thin films, the interplay of interfacial chemistry, electrostatics, and epitaxial strain is engineered to stabilize homohelicity in polarization textures at the domain scale. The synergistic use of a Bi2O2‐terminated Aurivillius buffer layer and a highly anisotropic compressive epitaxial strain offers new routes to control the polar‐texture ...
Elzbieta Gradauskaite +5 more
wiley +1 more source
A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems. [PDF]
Al-Adwan S +6 more
europepmc +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source
A detailed comparison of ΔSCF methods with the constraint-based orbital-optimized excited state method. [PDF]
Lemke Y, Kussmann J, Ochsenfeld C.
europepmc +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source

