Results 161 to 170 of about 1,585 (218)

η , η ' mesons from lattice QCD in fully physical conditions. [PDF]

Eur Phys J A Hadron Nucl
Ottnad K, Bacchio S, Finkenrath J, Kostrzewa B, Petschlies M, Pittler F, Urbach C, Wenger U.   +7 more
europepmc   +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

Precision non-invasive brain stimulation: an<i>in silico</i>pipeline for personalized control of brain dynamics. [PDF]

J Neural Eng
Karimi F, Steiner M, Newton T, Lloyd BA, Cassara AM, de Fontenay P, Farcito S, Paul Triebkorn J, Beanato E, Wang H, Iavarone E, Hummel FC, Kuster N, Jirsa V, Neufeld E.   +14 more
europepmc   +1 more source

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

Exploring baryon semileptonic decays through polarization and entanglement. [PDF]

Nature
BESIII Collaboration.
europepmc   +1 more source

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Ultrafast Dynamics of Rydberg Excitons and Their Optically Induced Charged Complexes in Encapsulated WSe₂ Monolayers. [PDF]

Nano Lett
Genco A, Trovatello C, Shahnazaryan VA, Dogadov O, Cadore AR, Rosa BLT, Kerfoot JA, Ahmed T, Balci O, Alexeev EM, Rostami H, Watanabe K, Taniguchi T, Tongay SA, Ferrari AC, Cerullo G, Dal Conte S.   +16 more
europepmc   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Morphogenesis of spin cycloids in a noncollinear antiferromagnet. [PDF]

Proc Natl Acad Sci U S A
Ojha SK, Pal P, Prokhorenko S, Husain S, Ramesh M, Li X, Kang D, Meisenheimer P, Schlom DG, Stevenson P, Caretta L, Nahas Y, Han Y, Martin LW, Bellaiche L, Eom CB, Ramesh R.   +16 more
europepmc   +1 more source

Information framing and the impact of nutrition label serving size change

American Journal of Agricultural Economics, EarlyView.
Abstract The framing of information can significantly influence how consumers interpret and respond to it. This paper investigates how the change in serving sizes in Nutrition Facts Panel (NFP) affects consumer choices for carbonated soft drinks (CSD). We first estimate a reduced form difference‐in‐differences (DiD) model to document causal effects on ...
Yuxiang Zhang, Yizao Liu, Linlin Fan
wiley   +1 more source