Results 61 to 70 of about 22,057,611 (283)

The unreasonable effectiveness of Nonstandard Analysis [PDF]

Journal of Logic and Computation, 2020
Abstract As suggested by the title, the aim of this paper is to uncover the vast computational content of classical Nonstandard Analysis. To this end, we formulate a template ${\mathfrak{C}\mathfrak{I}}$ which converts a theorem of ‘pure’ Nonstandard Analysis, i.e.
openaire   +3 more sources

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

De Novo Discovery of Nonstandard Thioisoindole‐Bridged Bicyclic Peptides Targeting Traf2‐ and NCK‐Interacting Kinase

Angewandte Chemie, EarlyView.
An optimized strategy for the ribosomal synthesis of thioisoindole‐bridged bicyclic (TiB) peptides is incorporated into the RaPID platform, enabling high‐throughput discovery from topologically defined TiB libraries. Proof‐of‐concept selection against TNIK identifies nanomolar‐affinity ligands with inhibitory activity, while x‐ray crystallography ...
Yue Zhang, Alexander A. Vinogradov, Keisuke Hamada, Yin Sun, Toru Sengoku, Hiroaki Suga   +5 more
wiley   +2 more sources

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

Broadband Silicon‐On‐Glass Reflective Dielectric Metasurface for THz Beam Steering in 6G Wireless Networks

Advanced Functional Materials, EarlyView.
A CMOS‐compatible, all‐dielectric Silicon‐on‐Glass reflective metasurface enables low–loss terahertz wavefront control for future 6G wireless communication. Mie‐resonant silicon pillars provide full phase coverage near 500 GHz, achieving experimentally validated single‐, dual‐, and five‐beam steering with sub‐1.5° angular error and less than 3 dB ...
Rithwik Premanand, Yi Ji Tan, Thomas CaiWei Tan, Prakash Pitchappa, Hemanth Kumar Cheemalamarri, A. S. Madhukumar, Ranjan Singh   +6 more
wiley   +1 more source

Bypassing Heteronuclear MRI: Metal‐Free Organosilicon Nanotracers for Background‐Free Hotspot 1H Imaging on Clinical Hardware

Advanced Science, EarlyView.
Organosilicon micelles enable background‐free molecular magnetic resonance imaging (MRI) while remaining fully compatible with standard proton (1H) hardware. By exploiting a spectrally silent 1H window at ∼0 ppm, the silicone nanotracer allows hotspot detection by 1H chemical‐shift imaging (CSI) without metals or heteronuclei, enabling direct overlay ...
Martin Orsagh, Dominik Havlicek, Andrea Galisova, Ondrej Sedlacek, Daniel Jirak   +4 more
wiley   +1 more source

Nonstandard asymptotic analysis

, 1987
This research monograph considers the subject of asymptotics from a nonstandard view point. It is intended both for classical asymptoticists - they will discover a new approach to problems very familiar to them - and for nonstandard analysts but includes
Berg, Imme
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Nonstandard Analysis of Graphs

, 2001
This paper shows certain classes of metric spaces characterized by volume growth properties of balls can viewed as graphs with infinitesimal edges. Our approach is based on nonstandard analysis.
openaire   +3 more sources