Results 131 to 140 of about 1,436,799 (320)

newton

, 2014
Citation: 'newton' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.N04135 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +2 more sources

Conditioning of Quasi-Newton Methods for Function Minimization

, 1970
D. Shanno
semanticscholar   +1 more source

How Particle Size Affects Consolidation Behavior, Strain and Properties of Li6PS5Cl Fast Ionic Conductors

Advanced Energy Materials, EarlyView.
The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka, Mohammed Alabdali, Martin A. Lange, Franco M. Zanotto, Can Yildirim, Mikael Dahl Kanedal, Jędrzej Kondek, Matthias Hartmann, Oliver Maus, Dominik Daisenberger, Michael Ryan Hansen, Jozef Keckes, Daniel Rettenwander, Alejandro A. Franco, Wolfgang G. Zeier   +14 more
wiley   +1 more source

The European Photon Imaging Camera on XMM-Newton: The pn-CCD camera

, 2001
L. Strüder, U. Briel, K. Dennerl, R. Hartmann, E. Kendziorra, N. Meidinger, E. Pfeffermann, C. Reppin, B. Aschenbach, W. Bornemann, H. Bräuninger, W. Burkert, M. Elender, M. Freyberg, F. Haberl, G. Hartner, F. Heuschmann, H. Hippmann, E. Kastelic, S. Kemmer, G. Kettenring, W. Kink, N. Krause, S. Muller, A. Oppitz, W. Pietsch, M. Popp, P. Predehl, A. Read, K. Stephan, D. Stötter, J. Trümper, P. Holl, J. Kemmer, H. Soltau, R. Stötter, U. Weber, U. Weichert, C. Zanthier, D. Carathanassis, G. Lutz, R. Richter, P. Solc, H. Böttcher, M. Kuster, R. Staubert, A. Abbey, A. Holland, M. Turner, M. Balasini, G. Bignami, N. Palombara, G. Villa, W. Buttler, F. Gianini, R. Lainé, D. Lumb, P. Dhez   +57 more
semanticscholar   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

Occupational zoonotic sporotrichosis with atypical evolution and refractory to treatment with itraconazole

Revista Médica de Minas Gerais
Sporotrichosis is a neglected zoonotic disease caused by Sporothrix spp., which has impact on animal and human health. It manifests in humans by inoculation of the fungus after skin trauma, by scratching and/or biting animals.
Carolina Rocha Lima Teixeira, Izadora Andressa Bezerra de Souza, Daniela Afonso Marquetotti, Giovanna Novaes Sampaio, Leilane Nascimento Alves, Milene Karoline Jeronimo, Raquel Virgínia Rocha Vilela, Roberta Dias Rodrigues Rocha, Ronize Andréia Ferreira   +8 more
doaj   +1 more source

Updating Quasi-Newton Matrices With Limited Storage

, 1980
J. Nocedal
semanticscholar   +1 more source

Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports

Agribusiness, EarlyView.
ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley   +1 more source

XMM-Newton observatory. I. The spacecraft and operations

, 2001
F. Jansen, D. Lumb, B. Altieri, J. Clavel, M. Ehle, C. Erd, C. Gabriel, M. Guainazzi, P. Gondoin, R. Much, R. Muñoz, M. Santos, N. Schartel, D. Texier, G. Vacanti   +14 more
semanticscholar   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source