Results 91 to 100 of about 6,489 (302)

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Asymptotic symmetries and Weinberg’s soft photon theorem in Mink d+2

Journal of High Energy Physics, 2019
We show that Weinberg’s leading soft photon theorem in massless abelian gauge theories implies the existence of an infinite-dimensional large gauge symmetry which acts non-trivially on the null boundaries ± of (d + 2)-dimensional Minkowski spacetime ...
Temple He, Prahar Mitra
doaj   +1 more source

An Elementary Notion of Gauge Equivalence [PDF]

, 2007
An elementary notion of gauge equivalence is introduced that does not require any Lagrangian or Hamiltonian apparatus. It is shown that in the special case of theories, such as general relativity, whose symmetries can be identified with spacetime ...
Belot, Gordon
core  

Impedance of Nonelectroneutral Solid Electrolyte Interphases With Nanopores: A Theoretical Model

Advanced Science, EarlyView.
Physical modeling reveals that often‐neglected non‐electroneutrality and nanopores in the solid‐electrolyte interphase (SEI) govern the impedance behavior. Under nonreactive conditions, the low‐frequency constant‐phase element (CPE) phenomenon can be attributed to the nonelectroneutral local conditions in the SEI.
Chenkun Li, Jun Huang
wiley   +1 more source

Testing the Ricardian Equivalence Theorem: Time Series Evidence from Greece [PDF]

The paper explores the long-run relationship between government domestic borrowing and private savings for a small EU country. It represents an attempt to assess the relevance of Ricardian Equivalence in Greece.
Kostas Drakos
core  

FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model

Advanced Science, EarlyView.
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble, Wiktor Zywicki, Enrico Lucarelli, Ania Naila Guerrieri, Francesca Taraballi, Gianluca Cidonio, Claudia Di Bella, Carmine Onofrillo, Andrea J. O'Connor, Serena Duchi   +9 more
wiley   +1 more source

Goodness-of-Fit Test of Shapiro-Wilk Type with Nuisance Regression and Scale

Austrian Journal of Statistics, 2016
Shapiro and Wilk (1965) proposed a highly intuitive goodness-of-fit test of normality with nuisance location and scale parameters. The test has received a considerable attention in the literature; its asymptotic null distribution is covered by the ...
Pranab Kumar Sen, Jana Jurečková, Jan Picek   +2 more
doaj   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

Testing for Multivariate Equivalence with Random Quadratic Forms [PDF]

Multivariate equivalence testing becomes necessary whenever the similarity rather than a difference between several treatment groups with multiple endpoints has to be shown.
Weißbach, Rafael
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source