Results 121 to 130 of about 3,832 (288)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Elementary Quantum Mechanical Principles and Social Science: Is There a Connection?
In this paper we provide first for a brief overview of some of the work which has been performed on the interface of quantum mechanics and macroscopic systems (such as economics).
Haven, Emmanuel
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Quantum Gravity: A Primer for Philosophers. [PDF]
, 2008 ‘Quantum Gravity’ does not denote any existing theory: the field of quantum gravity is very much a ‘work in progress’. As you will see in this chapter, there are multiple lines of attack each with the same core goal: to find a theory that unifies, in ...
Rickles, Dean
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Stochastic integral representations of second quantization operators
, 2004 We give a necessary and sufficient condition for the second quantization operator Γ(h) of a bounded operator h on L2(R+), or for its differential second quantization operator λ(h), to have a representation as a quantum stochastic integral. This condition
Pautrat, Yan
core +1 more source
Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory
Advanced Electronic Materials, EarlyView.For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley +1 more source
A Hull and White formula for a general stochastic volatility jump-diffusion model with applications to the study of the short-time behavior of the implied volatility [PDF]
In this paper, generalizing results in Alòs, León and Vives (2007b), we see that the dependence of jumps in the volatility under a jump-diffusion stochastic volatility model, has no effect on the short-time behaviour of the at-the-money implied ...
Josep Vives +3 more
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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 +19 more
wiley +1 more source
Observables, maximal symmetric operators, POV measures and their applications in quantum mechanics
, 2015 Approximate observables, their description in terms of POV measures and the subsequent extension of the orthodox notion of observable are examined.
Fountain, Robert H.
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Advanced Energy Materials, EarlyView.A nickel‐free and practical synthesis strategy to poly(pyrene tetraone) and its integration with a percolated CNTs/Ketjen Black network enables stable cycling and efficient energy storage in a sodium‐based batteries. This work demonstrates how controlling polymer structure and electrode architecture improves ion transport and mitigates dissolution in ...
Md. Adil +9 more
wiley +1 more source
, 2005 Knoche C. Mild solutions of SPDE's driven by Poisson noise in infinite dimensions and their dependence on initial conditions. Bielefeld (Germany): Bielefeld University; 2005.We investigate stochastic partial differential equations in an infinite ...
Knoche, Claudia
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