Results 161 to 170 of about 33,016,997 (287)

AN ANALYSIS OF WORK ENGAGEMENT BASED ON THE JOB DEMANDS-RESOURCES (JD-R) MODEL:

open access: yesGlobal Business Journal, 2022
Higuchi, Tomohiro   +2 more
openaire   +1 more source

Fast Homoepitaxy on (100) β‐Ga2O3 Substrates With Large Grown‐In Offcut

open access: yesAdvanced Electronic Materials, EarlyView.
(100) β‐Ga2O3 substrates with grown‐in offcuts eliminate grinding waste. A 13.7° offcut in the [‐c] direction produces vertical (001) sidewalls, ideal for 3D architectures. Increasing the offcut angle from 0° to 13.4° continually increases growth rate up to 30x, and step‐flow growth is maintained.
M. Brooks Tellekamp   +9 more
wiley   +1 more source

Free Charge Generation in Organic Photoconversion Devices–the Impact of Electrostatic Potentials

open access: yesAdvanced Energy Materials, EarlyView.
Free charge generation in organic photovoltaic and photodetector devices typically requires an external driving force to separate bound excitons formed upon photoexcitation. This review details how electrostatic potentials, arising from molecular charge distributions in organic semiconductors, can impact interfacial energetic landscapes and promote ...
Emily J. Yang   +3 more
wiley   +1 more source

Come Together: Promoting Work and Well-Being. A study in the framework of the JD-R model

open access: yes, 2022
The levels of sickness absenteeism in Norway are extraordinarily high. One of three employees reports that work is partly or fully the reason why they are absent. Regardless of a clear and explicit political goal to reduce sickness absence, previous reforms in Norway have not had much success.
openaire   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

DeepCPP: A Deep Learning‐Based Framework for Enhanced Prediction of Cell Penetrating Peptides

open access: yesAdvanced Intelligent Systems, EarlyView.
DeepCPP is a multimodal deep learning framework designed to improve the identification of cell‐penetrating peptides. By integrating sequence‐derived evolutionary information with structural graph representations through a dual‐encoder architecture and fusion strategy, the model captures complementary molecular features.
Soualihou Ngnamsie Njimbouom   +2 more
wiley   +1 more source

Active Metal Template Synthesis of Rotaxanes From BINOL‐Phosphate Macrocycles

open access: yesAngewandte Chemie, EarlyView.
The use of macrocyclic BINOL‐phosphates allows for the active metal template synthesis of [2]rotaxanes via Cu(I)‐mediated alkyne‐azide cycloaddition. DFT calculations, control experiments, and kinetic experiments support a dinuclear phosphate‐Cu2 intermediate.
Nikolai Brodt   +10 more
wiley   +2 more sources

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