Results 171 to 180 of about 7,911 (299)

A review of applications of machine learning in quantum dots research. [PDF]

Discov Nano
Malashin I, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source

Rootstock impacts on citrus flush dynamics, vegetative growth, and Diaphorina citri infestation and dispersion: Implications for huanglongbing management

Pest Management Science, Volume 82, Issue 9, Page 8795-8809, September 2026.
Dwarfing citrus rootstocks restrict flush shoot growth on the scion, thereby reducing Asian citrus psyllid infestation, dispersal, and huanglongbing (HLB) progression. These findings support the use of dwarfing rootstocks as an effective cultural strategy in integrated HLB management for citrus orchards.
Deived Uilian de Carvalho, Eduardo Augusto Girardi, Wellington Ivo Eduardo, Haroldo Xavier Linhares Volpe, Fernando Alves de Azevedo, Marcelo Pedreira de Miranda, Renato Beozzo Bassanezi   +6 more
wiley   +1 more source

Ordered Pt3Mn Intermetallic Nanoparticles Supported on Atomically Dispersed Mn–N–C as Electrocatalysts for Fuel Cells

Angewandte Chemie, Volume 138, Issue 33, 10 August 2026.
Ordered L12‐Pt3Mn intermetallic alloys are uniformly deposited onto atomically dispersed Mn–N–C supports. The synergistic effect between MnN4 sites and Pt3Mn elevates interfacial binding strength and dissolution barriers while favorably weakening *OH adsorption. It delivers exceptional catalytic activity and stability in fuel cells, serving as an ideal
Gongjin Chen, Tianshuai Wang, Xiaoyi Qiu, Shiyuan Liu, Cunpu Li, Zidong Wei, Wei Xing, Haijiang Wang, Minhua Shao   +8 more
wiley   +2 more sources

Robust and compact reversible logic gate for low-power and high-performance computing. [PDF]

Sci Rep
Rajput A, Kumawat R, Srinivasulu A, Sharma J.   +3 more
europepmc   +1 more source

AI‐Driven Strategies for Automated Microalgae Production Systems: Enhancing Yield, Efficiency, and Commercial Viability

GCB Bioenergy, Volume 18, Issue 9, September 2026.
Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter, Wan Adibah Wan Mahari, Sharoen Yu Ming Lim, Abdirahman Yasin Ibrahim, Revathy Sankaran, Kalaimani Markandan, Theeba Rajasegran   +6 more
wiley   +1 more source

Design of an energy efficient approximate BinDCT module in quantum cellular automata. [PDF]

Sci Rep
Vahabi M, Rahimi E, Bahar AN, Wahid KA.
europepmc   +1 more source

Self‐Assembly Enabled Mie‐Scattering in Hematite Nanoplatelet Stacks

Nanophotonics, Volume 15, Issue 16, 26 August 2026.
The spectral evolution during the electrolyte‐induced self‐assembly of 120 × 20 nm hematite nanoplatelets into vertical stacks in aqueous solutions is investigated. Optical simulations and correlative electron microscopy/single particle spectroscopy confirm that a collective magnetic dipole mode develops in the assembling stacks.
Péter Márton, Dániel Zámbó, András Deák   +2 more
wiley   +1 more source

Design of a low-delay 4-bit parallel prefix adder using QCA technology. [PDF]

Sci Rep
Niranjan T, Nayak A, Veeramachaneni S, Ahmed SE.   +3 more
europepmc   +1 more source

Metal Dependence of Signal Transmission through MolecularQuantum-Dot Cellular Automata (QCA): A Theoretical Studyon Fe, Ru, and Os Mixed-Valence Complexes. [PDF]

Materials (Basel), 2010
Tokunaga K.
europepmc   +1 more source

End‐to‐End Deep Learning Framework for Freeform Metasurfaces via Non‐Uniform Rational B‐Splines Meta‐Atoms

Nanophotonics, Volume 15, Issue 15, 13 August 2026.
This work presents a NURBS‐enabled metasurface design framework that combines freeform meta‐atom parameterization with Transformer‐based deep learning. The unified mathematical representation expands geometric degrees of freedom while enabling efficient optical‐response prediction and inverse design.
Kaipeng Liu, Junliang Jia, Kun Li, Yuanjian Wan, Runlin Zhou, Xuyang Chen, Chao Wang, Zhixiang Huang, Jiaxin Li, Gang Gao, Pei Zhang, Longqiu Li   +11 more
wiley   +1 more source