Results 31 to 40 of about 196,174 (265)

Photosynthesis under far‐red light—evolutionary adaptations and bioengineering of light‐harvesting complexes

FEBS Letters, EarlyView.
Phototrophs evolved light‐harvesting systems adapted for efficient photon capture in habitats enriched in far‐red radiation. A subset of eukaryotic pigment‐binding proteins can absorb far‐red photons via low‐energy chlorophyll states known as red forms.
Antonello Amelii, Edoardo Andrea Cutolo, Daniele Montepietra, Claudia Battarra, Roberto Caferri, Stefano Capaldi, Zeno Guardini, Luca Dall'Osto, Roberto Bassi   +8 more
wiley   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Application of a Quantum-Well Silicon NMOS Transistor as a Folding Amplifier Frequency Multiplier

IEEE Journal of the Electron Devices Society, 2017
This paper reports on the use of a single quantum well (QW) silicon NMOS transistor to generate a folded current-voltage transfer function that enables frequency doubling and tripling. The QW NMOS device is fabricated entirely on an industrially standard
Clint Naquin, Yongda Cai, Gangyi Hu, Mark Lee, Yun Chiu, Hal Edwards, Guru Mathur, Tathagata Chatterjee, Ken Maggio   +8 more
doaj   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Analysis of a Quantum Error Correcting Code using Quantum Process Calculus [PDF]

Electronic Proceedings in Theoretical Computer Science, 2012
We describe the use of quantum process calculus to describe and analyze quantum communication protocols, following the successful field of formal methods from classical computer science. The key idea is to define two systems, one modelling a protocol and
Timothy A. S. Davidson, Simon J. Gay, Rajagopal Nagarajan, Ittoop Vergheese Puthoor   +3 more
doaj   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

Electronic and magnetic properties of the transition-metal absorbed blue-phosphorus/MoS2 heterostructure: A first-principles investigation

AIP Advances, 2019
Based on the first principle of calculation, we constructed an ideal van der Waals (vdW) heterostructures by placing BlueP above MoS2 monolayer. We have determined the most stability structure and calculated its electronic properties.
Hongying Bian, Haiming Duan, Jialin Li, Fengjuan Chen, Biaobing Cao, Mengqiu Long   +5 more
doaj   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Fourier Quantum Process Tomography

npj Quantum Information
The characterization of a quantum device is a crucial step in the development of quantum experiments. This is accomplished via Quantum Process Tomography, which combines the outcomes of different projective measurements to deliver a possible ...
Francesco Di Colandrea, Nazanin Dehghan, Alessio D’Errico, Ebrahim Karimi   +3 more
doaj   +1 more source