Results 231 to 240 of about 911 (287)
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Power electronics for green hydrogen generation with focus on methods, topologies, and comparative analysis. [PDF]
Hassan A +3 more
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
A cancelable ear recognition system via optimized deep feature fusion. [PDF]
Elsharkawy ZF +5 more
europepmc +1 more source
Palladacarboxamide Capping Reagents for Carbon Isotope Labeling and Pharmaceutical Diversification
Herein, we present a method for carbon isotope labeling of arylamides via the coupling of air‐stable palladium carboxamide complexes and boronic ester/acids. A wide variety of functionalized boronic esters and acids have been coupled with simple palladium carboxamides complexes.
Daniel V. Hoffmann +8 more
wiley +1 more source
Multi-Frequency Vibration Suppression Based on an Inertial Piezoelectric Actuator Applied in Indoor Substations. [PDF]
Li X +5 more
europepmc +1 more source
This work presents the first enzymatic polymerization of defined metal‐chelator‐modified nucleotides that leverage polymerase fidelity for uniform (radio)metal loading with successful incorporation of five different metals: Ga, In, Tb, Lu, and Y.
Antonio A. W. L. Wong +2 more
wiley +1 more source
This work reports a new metal–ester bonding strategy for anchoring molecular catalysts to metal oxide supports, achieving exceptionally high surface loadings. Catalyst reactivity is predictably tuned by the support's properties, enabling control over electronic behavior and reaction pathways, thus opening new possibilities for designing highly ...
Joseph J. Kuchta III +7 more
wiley +1 more source
Incorporation of N‐based onium ions into the ionic framework of poly(heptazine imide) was obtained via protonation‐deprotonation of PHI frameworks arising from a parent Na‐containing analogue. Particularly, methylammonium moieties, through their small molecular size, hydrogen bonding capabilities and rotational mobility, appear to stabilize ...
Dingqiao Ji +6 more
wiley +1 more source
Comparative Study of Machine Learning and System Identification for Process Systems Engineering Dynamics. [PDF]
Ahmed A +2 more
europepmc +1 more source

