Henrik R. Larsson

Measurement of the Minimum Cold Dark Matter Halo Mass with Strong Gravitational Lensing

Anna Nierenberg, Daniel Gilman, T. Treu, Xiaolong Du et autres

We explore the lowest mass limit that can be placed on the halo mass function in cold dark matter (CDM) using 28 strong gravitational lenses. For this purpose, we study an extreme model in which the halo mass function and mass-concentration relation …

us, cn, cl, gb, jp, be (code pays fourni par la source)

Free-Streaming Length of Dark Matter from JWST Observations of 28 Strong Gravitational Lenses

Daniel Gilman, Anna Nierenberg, Tommaso Treu, Kevork N. Abazajian et autres

The formation of gravitationally bound overdensities of dark matter (DM), or halos, is a generic prediction of theories with particle DM. We present a measurement of halo properties in 28 quadruple image strong lens systems recently observed by JWST, and use these …

us, cl, gb, jp, be (code pays fourni par la source)

JWST lensed quasar dark matter survey. III. Dark matter sensitive flux ratios and warm dark matter constraint from the full sample

Ryan E. Keeley, Anna Nierenberg, D. Gilman, Tommaso Treu et autres

us, jp, cl, gb, be (code pays fourni par la source)

Accurate, Full-Dimensional Computations of Thousands of Complex Vibrational Eigenstates with Tree Tensor Network States

Henrik R. Larsson, Brieuc Le Dé, Gino E. Gamboni

Tree tensor network states (TTNSs) combined with the density matrix renormalization group (DMRG) are emerging as powerful tools for vibrational and vibronic structure simulations in molecules with strong coupling and fluxionality. In this Perspective, we discuss how TTNS methods enable accurate, full-dimensional …

us (code pays fourni par la source)

Computing excited eigenstates using inexact Lanczos methods and tree tensor network states

Madhumita Rano, Henrik R. Larsson

To understand the dynamics of quantum many-body systems, it is essential to study excited eigenstates. While tensor network states have become a standard tool for computing ground states in computational many-body physics, obtaining accurate excited eigenstates remains a significant challenge. In this …

us (code pays fourni par la source)

Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics

Léon L. E. Cigrang, Basile F. E. Curchod, Rebecca A. Ingle, Aaron Kelly et autres

, was held in May 2024 to address this issue. This Perspective highlights the key challenges identified during the workshop in defining molecular benchmarks for nonadiabatic dynamics. Specifically, this work outlines some preliminary observations on essential components needed for simulations and proposes …

gb, de, pl, it, fr, ca, Tunisie, hr, au, ar, at, es, in, cz, cn, us, ch, kr (code pays fourni par la source)

Benchmarking Vibrational Spectra: 5000 Accurate Eigenstates of Acetonitrile Using Tree Tensor Network States

Henrik R. Larsson

High Resolution Image Download MS PowerPoint Slide Accurate vibrational spectra are essential for understanding how molecules behave, yet their computation remains challenging, and benchmark data to reliably compare different methods are sparse. Here, we present high-accuracy eigenstate computations for the six-atom, 12-dimensional …

us (code pays fourni par la source)

Simulating Real-Time Molecular Electron Dynamics Efficiently Using the Time-Dependent Density Matrix Renormalization Group

Imam S. Wahyutama, Henrik R. Larsson

Compared to ground-state electronic structure optimizations, accurate simulations of molecular real-time electron dynamics are usually much more difficult to perform. To simulate electron dynamics, the time-dependent density matrix renormalization group (TDDMRG) has been shown to offer an attractive compromise between accuracy and …

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A tensor network view of multilayer multiconfiguration time-dependent Hartree methods

Henrik R. Larsson

The multilayer multiconfiguration time-dependent Hartree (ML-MCTDH) method and the density matrix renormalisation group (DMRG) are powerful workhorses applied mostly in different scientific fields. Although both methods are based on tensor network states, very different mathematical languages are used for describing them. This …

us (code pays fourni par la source)

2500 vibronic eigenstates of the NO 3 radical

Henrik R. Larsson, Alexandra Viel

plays an important role in atmospheric chemistry, yet many aspects of its coupled and anharmonic vibronic structure remain elusive. Here, using an accurate, coupled full-dimensional diabatic potential that includes five electronic states, we revisit the vibronic spectrum associated with the electronic state. …

us, fr (code pays fourni par la source)

Block2 : A comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond

Huanchen Zhai, Henrik R. Larsson, Seunghoon Lee, Zhi‐Hao Cui et autres

block2 is an open source framework to implement and perform density matrix renormalization group and matrix product state algorithms. Out-of-the-box it supports the eigenstate, time-dependent, response, and finite-temperature algorithms. In addition, it carries special optimizations for ab initio electronic structure Hamiltonians and …

us (code pays fourni par la source)

A tensor network view of multilayer multiconfiguration time-dependent Hartree methods

Henrik R. Larsson

The multilayer multiconfiguration time-dependent Hartree (ML-MCTDH) method and the density matrix renormalization group (DMRG) are powerful workhorses applied mostly in different scientific fields. Although both methods are based on tensor network states, very different mathematical languages are used for describing them. This …

us (code pays fourni par la source)