Results 91 to 100 of about 4,907,181 (207)

Book of Abstracts for the European Quantum Technologies Conference (EQTC) 2023

The EQTC 2023 held from October 16th to October 20th, 2023, in Hannover, was a week of conference and exhibition. The conference featured over 40 exhibitors, more than two-dozen plenary presentations and panel discussions, over 140 speakers and 180 ...
Quantum Valley Lower Saxony
core   +1 more source

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

Insights into the Degradation Mechanism of Aqueous LiMn2O4–Cathode Interfaces by Computational Vibrational Spectroscopy

Angewandte Chemie, EarlyView.
LiMn2O4${\rm LiMn}_2{\rm O}_4$ is of high interest for sustainable energy storage and conversion. Its mixed‐valence Mn3+${\rm Mn}^{3+}$/Mn4+${\text{Mn}}^{4+}$ structure drives site‐specific behavior at aqueous interfaces, featuring proton‐generating Mn4+${\text{Mn}}^{4+}$ centers and electron‐rich Mn3+${\rm Mn}^{3+}$ sites that render the surrounding ...
K. Nikolas Lausch, Redouan El Haouari, Philipp Schienbein, Jörg Behler   +3 more
wiley   +2 more sources

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source

[O─I─O]+ Halogen‐Bonded Complexes of Pyridine N‐Oxides

Angewandte Chemie, EarlyView.
The missing puzzle of 3‐center‐4‐electron halogen‐bonded complexes viz. [O─I─O]+ of pyridine N‐oxides are structurally characterized by x‐ray diffraction. Monodentate N‐oxide O‐atom acts as the halogen bond acceptor. Their solution complexations are characterized by 15N NMR spectroscopy.
Rakesh Puttreddy, Sergi Burguera, Antonio Frontera, Kari Rissanen   +3 more
wiley   +2 more sources

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Defect‐Rich CoNi Prussian Blue Analogues Enable Highly Selective Electrochemical Hydrogen Peroxide Production

Angewandte Chemie, EarlyView.
Introducing [Co(CN)6]3− defects into CoNi Prussian Blue analogues exposes square‐planar Ni–N4 active sites, leading to remarkable H2O2 selectivity during the electrochemical oxygen reduction reaction in alkaline media. ABSTRACT Decentralized electrosynthesis of hydrogen peroxide (H2O2) via the two‐electron oxygen reduction reaction (2e− ORR) offers a ...
Kai Sun, Yu Mao, Yongfang Zhou, Ziyun Wang, Geoffrey I. N. Waterhouse   +4 more
wiley   +2 more sources

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Intramolecular Nickel‐Catalyzed Reductive Coupling: Enantioselective Synthesis of Tetrahydroisoquinolines and Related Heterocycles

Angewandte Chemie, EarlyView.
The successful extension of the nickel‐catalyzed asymmetric coupling of polarized 1,3‐dienes with aldehydes to an intramolecular setting opens an efficient new entry into hydroxylated N‐heterocyclic compounds, most notably valuable tetrahydroisoquinolines.
Thilo Bender, Markus Leutzsch, Yannik Sell, Alois Fürstner   +3 more
wiley   +2 more sources

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