Results 111 to 120 of about 3,343 (255)

Research on Machine Tool Spatial Dynamic Characteristics Based on Response Surface Method

open access: yes工程科学与技术, 2017
:Position changes of the machine tool's moving parts result in changes of the machine tool's mass matrix,stiffness matrix and damp matrix,which leads to the complexity and uncertainty for predicating the dynamic characteristics of the whole machine tool ...
邓聪颖   +4 more
doaj  

Influence of Structure Errors in Five-Axis Machining Centers on the Machining Accuracy.

open access: yesTRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 1996
SAKAMOTO, Shigehiko, INASAKI, Ichiro
openaire   +2 more sources

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Structural Design and Optimization in the Beam of a Five-axis Gantry Machining Center

open access: yesJournal of Engineering Science and Technology Review, 2020
Xin Li, Ying Huang, Zhi Zhou
openaire   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

open access: yesAdvanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He   +3 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald   +7 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
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

Ferrocene‐Based Self‐Assembled Monolayers Enable Ultra‐High Specific Detectivity in Perovskite Photodetectors

open access: yesAdvanced Materials, EarlyView.
We report perovskite photodetectors with record specific detectivities exceeding 1013 Jones with a novel molecular design strategy to functionalize self‐assembled monolayers (SAMs) with ferrocene (Fc) derivatives. Fc‐SAM‐based devices also exhibit strong operational stability and enable data transmission rates exceeding 1 Mbps in a LiFi system ...
Edoardo Angela   +10 more
wiley   +1 more source

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