Results 111 to 120 of about 44,658 (253)

Robust NbN‐on‐Si/SiGe Hybrid Microwave Quantum Circuits With Long‐Term Stability

Advanced Electronic Materials, EarlyView.
Superconducting NbN resonators integrated with Si/SiGe quantum wells based semiconducting chip are investigated as a CMOS–compatible platform for scalable quantum hardware. Temperature–dependent microwave spectroscopy reveals loss mechanisms from TLS, quasiparticles, and scattering.
Paniz Foshat, Samane Kalhor, Shima Poorgholam‐khanjari, Douglas Paul, Martin Weides, Kaveh Delfanazari   +5 more
wiley   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

Advanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs, V. Roddatis, U. Roß, J. P. Bange, D. Meyer, S. Lopatin, V. Radisch, D. Metternich, I. V. Maznichenko, S. Ostanin, R. Egoavil, I. Lazić, V. Moshnyaga   +12 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Transcriptomic analysis of the inhibition mechanisms against Pseudomonas plecoglossicida by antibacterial aptamer B4

Frontiers in Veterinary Science
Pseudomonas plecoglossicida is a common bacterial pathogen in aquaculture, often leading to visceral white spot disease in large yellow croakers (Pseudosciaena crocea).
Ying Tan, Xiaojun Lin, Lixing Huang, Qingpi Yan, Jiaen Wang, Qibiao Weng, Yuwei Zhengzhang, Yiran Chen, Ying Ma, Jiang Zheng   +9 more
doaj   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Stable Production of a Tethered Recombinant Eel Luteinizing Hormone Analog with High Potency in CHO DG44 Cells

Current Issues in Molecular Biology
We produced a recombinant eel luteinizing hormone (rec-eel LH) analog with high potency in Chinese hamster ovary DG44 (CHO DG44) cells. The tethered eel LH mutant (LH-M), which had a linker comprising the equine chorionic gonadotropin (eLH/CG) β-subunit ...
Munkhzaya Byambaragchaa, Sei Hyen Park, Sang-Gwon Kim, Min Gyu Shin, Shin-Kwon Kim, Sung-Pyo Hur, Myung-Hum Park, Myung-Hwa Kang, Kwan-Sik Min   +8 more
doaj   +1 more source

Emigration of European silver eel (Anguilla anguilla L.) from a polder system into the Schelde estuary [PDF]

, 2017
Connectivity between freshwater habitats and marine areas is heavily obstructed by migration barriers, leading to a high pressure on diadromous eel populations.
Verhelst, PieterjanUGent0000800679418020018129269741501981460000-0002-2610-69410FCE7D50-F0EE-11E1-A9DE-61C894A0A6B4, Moens, TomWE118010008920530000-0001-6544-9210F4AD6E00-F0ED-11E1-A9DE-61C894A0A6B4, Mouton, Ans, Goethals, PeterLA220019900642258010011024230000-0003-1168-6776F51380BE-F0ED-11E1-A9DE-61C894A0A6B4, Van Hoey, Stijn, Pauwels, Ine, Mouton, AnsUGent001999273868801001873874973510981987F72EDA1A-F0ED-11E1-A9DE-61C894A0A6B4, Coeck, Johan, Aelterman, Bart, Moens, Tom, Verhelst, Pieterjan, Reubens, Jan, Buysse, David, Goethals, Peter   +13 more
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source