Results 91 to 100 of about 121,284 (245)

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

Breaking Standard Model global symmetries with the tau lepton

SciPost Physics Proceedings
Properties of the dynamics of the Standard Model processes such as lepton flavour preservation and lepton, or baryon, number conservation, are usually taken for granted.
Jorge Portolés
doaj   +1 more source

Symbolic computation of variational symmetries in optimal control [PDF]

, 2006
We use a computer algebra system to compute, in an efficient way, optimal control variational symmetries up to a gauge term. The symmetries are then used to obtain families of Noether's first integrals, possibly in the presence of nonconservative ...
André Gomes-dos-Santos, M. André Machado, L. Filipe C. Castro, Manuel Lopes-Lima, Froufe, Elsa, Gouveia, P.D.F., Gomes-dos-Santos, André, Gouveia, P. D., Lopes-Lima, Manuel, Rocha, E. A., Teixeira, Amílcar, Castro, L. Filipe C., Amílcar Teixeira, Rocha, E.A.M., Torres, D. F., Elsa Froufe, Machado, M. André, Torres, D.F.M.   +17 more
core   +3 more sources

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Advanced Intelligent Systems, EarlyView.
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka, Shunki Itadera, Kohei Honda, Takato Horii, Asako Kanezaki, Taisuke Kobayashi, Kenji Koide, Shuhei Kurita, Koshi Makihara, Kazuki Miyazawa, Masaki Murooka, Yuki Onishi, Satoshi Yagi, Satoshi Yamamori   +13 more
wiley   +1 more source

Symmetries in physics: philosophical reflections [PDF]

, 2002
This is the table of contents and first chapter of "Symmetries in physics: philosophical reflections", edited by Katherine Brading and Elena Castellani, Cambridge University Press, 2003.
Castellani, Elena, Brading, K, E. Castellani, Brading, Katherine A., K. Brading   +4 more
core  

A Vacuum‐Suction and Rotate End Effector for Robotic Apple Fruitlet Thinning: Comparative Development, Integrated Field Evaluation, and Preliminary Harvesting

Advanced Intelligent Systems, EarlyView.
Robotic apple thinning is constrained by a single field season confined to a few weeks each year. An efficient design process screens four detachment concepts off‐season using an artificial fruitlet structure, with field trials identifying vacuum suction and rotation as the most effective approach.
Rahul Jangali, Ben McGuinness, Hin Lim, Chi Kit Au, Henry Williams, Ans H. Qureshi, David Smith, Bruce A. MacDonald, Mike Duke, Abozar Nasirahmadi   +9 more
wiley   +1 more source

Universal predictions of Siegel modular invariant theories near the fixed points

Journal of High Energy Physics
We analyze a general class of locally supersymmetric, CP and modular invariant models of lepton masses depending on two complex moduli taking values in the vicinity of a fixed point, where the theory enjoys a residual symmetry under a finite group.
Gui-Jun Ding, Ferruccio Feruglio, Xiang-Gan Liu   +2 more
doaj   +1 more source

Artificial Intelligence for Benign Esophageal Stricture Dilation: An Evidence‐Transferability Framework and Safety‐First Roadmap

AI &Innovation, EarlyView.
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley   +1 more source

Modular flavor models with positive modular weights: a new lepton model building

Journal of High Energy Physics
We propose an interesting assignment of positive modular weights for fields in a modular non-Abelian discrete flavor symmetry. By this assignment, we can construct inverse seesaw and linear seesaw models without any additional symmetries which possess ...
Tatsuo Kobayashi, Takaaki Nomura, Hiroshi Okada, Hajime Otsuka   +3 more
doaj   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source