Results 101 to 110 of about 9,834 (320)
Abstract null geometry, energy-momentum map and applications to the constraint tensor [PDF]
Beijing Journal of Pure and Applied MathematicsWe introduce and study the notion of null manifold. This is a smooth manifold ${\mathcal N}$ endowed with a degenerate metric $\gamma$ with one-dimensional radical at every point.
Marc Mars
semanticscholar +1 more source
Topics in algebra, geometry and differential equations
, 2022 The study of differential equations and the study of algebraic geometry are two disciplines within mathematics that seem to be mostly disjoint from each other. Looking deeper, however, one finds that connections do exist. This thesis gives in four chapters four examples of interesting mathematical insights that can be gained from combining the concepts
openaire +2 more sources
Advanced Science, EarlyView.An extremely rare type of organic biluminescent emission is reported that consists of delayed emission resulting from both the fluorescence (multi‐resonance thermally activated delayed fluorescence) and phosphorescence spectra at room temperature, and the lifetimes of the two processes exhibit opposing dependence with temperature.
Oliver S. Lee +5 more
wiley +1 more source
Bootstrapping solutions of scattering equations
Journal of High Energy Physics, 2019 The scattering equations are a set of algebraic equations connecting the kinematic space of massless particles and the moduli space of Riemann spheres with marked points.
Zhengwen Liu, Xiaoran Zhao
doaj +1 more source
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Advanced Electronic Materials, EarlyView.Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone +7 more
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Advanced Quantum Technologies, EarlyView., 2023 Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala +3 more
wiley +1 more source
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Advanced Intelligent Discovery, EarlyView.Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes
Advanced Intelligent Systems, EarlyView.This article describes a metamaterial that mechanically computes matrix‐vector multiplications, one of the fundamental operations in artificial intelligence models. The matrix multiplication is encoded in floppy modes, near‐zero force deformations of soft matter systems.
Theophile Louvet +2 more
wiley +1 more source
AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice
Annals of Neurology, EarlyView.Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley +1 more source
A Calabi-Yau-to-curve correspondence for Feynman integrals
Journal of High Energy PhysicsIt has long been known that the maximal cut of the equal-mass four-loop banana integral is a period of a family of Calabi-Yau threefolds that depends on the kinematic variable z = m 2/p 2.
Hans Jockers +7 more
doaj +1 more source