Considerable insight was generated from a recent conference on fission, shedding light on crucial theoretical and experimental aspects. Key topics include angular momentum, fission-fragment spin references, and the dynamics of nuclear fission. Theoretical advancements like the TDSLDA model and super

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Laurie Marks from Northwestern University discusses the successes and opportunities in predictive DFT mixing, focusing on the advancements in density functional theory, fixed-point solvers, and the approach taken in physics and pragmatism. The presentation includes insights on the applications of DF

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Using Density Functional Theory (DFT) calculations, we explore how to determine the lattice constant of simple cubic, face-centered cubic (fcc), and hexagonal close-packed (hcp) materials. By fitting numerical data and analyzing energy considerations, we predict lattice constants for various metal s

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Density Functional Theory (DFT) plays a crucial role in chemistry by uniquely determining molecular properties based on electron density. The Hohenberg-Kohn Theorem establishes the foundation, with the goal of finding an exact energy functional expressed in terms of density. Various concepts like th

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The application of numerical integration techniques in Density Functional Theory (DFT) is crucial for solving the Eigenvalue Problem and evaluating energy functionals. This involves partitioning integrals, approximating integrals at atomic centers, defining partition functions, and ensuring cell fun

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Dive into the formalism and applications of Density Functional Theory (DFT) through a comprehensive review of basic theory, equations, and numerical implementations. Explore concepts like Time-Dependent DFT (TDDFT) and Linear Response formalism, and discover its applications in studying plasmons, co

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Sara Coy, Active Travel Training Coordinator, initiated the Walk Leicester Project funded by DfT. The program encourages parents to walk more, reach 10,000 steps/day, and explore local routes. The project includes group walks, free pedometers, and volunteer-led sessions, resulting in improved physic

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Rowland NMR Toolkit (RNMRTK) is a comprehensive software platform primarily used for NMR data processing tasks such as running MaxEnt, apodization, DFT processing, linear prediction, and more. It offers a robust set of tools for various processing needs and supports efficient parallel processing. RN

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Density Functional Theory (DFT) is a powerful computational tool used in various scientific fields to understand complex chemical and physical phenomena. This theory allows for detailed analysis and prediction of material properties, reactions, and structures at the atomic level. Through the example

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Today's lecture delves into the realm of GPU-accelerated Fast Fourier Transform (cuFFT), exploring the frequency content present in signals, Discrete Fourier Transform (DFT) formulations, roots of unity, and an alternative approach for DFT calculation. The lecture showcases the efficiency of GPU-bas

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OFDM modulation, widely used in communication systems like IEEE 802.11, suffers from I/Q Imbalance (IQI), impacting performance. This document proposes a robust solution called I-Q Decoupled OFDM (DC-OFDM), where independent data sets generate real (I) and imaginary (Q) signals, mitigating IQI effec

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Originally developed as a platform for creating NMR data processing methods, Rowland NMR Toolkit (RNMRTK) is now widely used for general processing. It offers a variety of functions including apodization, DFT processing, linear prediction, MaxEnt reconstruction, and more. It is free for academic use

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DFT simulations were conducted on the lithium ion conductor Li2(OH)Cl to investigate its low and high-temperature phases. The motivation behind the study was to uncover the structural features impacting the phase transition and diffusion properties of the material. The background highlighted two pha

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Understanding the magnetic behavior in two-dimensional molecule-based magnets with S=2 spins, exploring MnF3(pyz) with Jahn-Teller elongated Mn(III) octahedra, and discussing the crossover between classical and quantum regimes. The research involves DFT calculations for 1D antiferromagnetic systems,

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Explore the Cooley-Tukey decimation-in-time algorithm for computing the Discrete Fourier Transform efficiently. Understand how the algorithm splits the DFT computation into smaller parts and realize the benefits in terms of reduced number of multiplications. Dive into signal flowgraph notation for a

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Fast Fourier Transform (FFT) is a powerful algorithm used in signal processing to efficiently calculate the Discrete Fourier Transform (DFT). This advanced technique leverages symmetry and periodicity properties to reduce computational complexity, making it a key tool in digital signal analysis. By

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