Daniel T Larson

Dr. Daniel T Larson

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 June 2018 in Nature
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DBD. Kwabena Bediako
D. Kwabena Bediako
MRMehdi Rezaee
Mehdi Rezaee
HYHyobin Yoo
Hyobin Yoo
DLDaniel T Larson
Daniel T Larson
SZS. Y. Frank Zhao
S. Y. Frank Zhao
PKPhilip Kim
Philip Kim

23 July 2004 in Physical Review D
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RHRoni Harnik
Roni Harnik
GKGraham D. Kribs
Graham D. Kribs
DLDaniel T Larson
Daniel T Larson
HMHitoshi Murayama
Hitoshi Murayama
We present a calculable supersymmetric theory of a composite “fat” Higgs boson. Electroweak symmetry is broken dynamically through a new gauge interaction that becomes strong at an intermediate scale. The Higgs boson mass can easily be 200–450 GeV along with the superpartner masses, solving the supersymmetric little hierarchy problem. We explicitly verify that the model is consistent with precision electroweak data without fine-tuning. Gauge coupling unification can be maintained despite the inherently strong dynamics involved in electroweak symmetry breaking. Supersymmetrizing the standard model therefore does not imply a light Higgs boson mass, contrary to the lore in the literature. The Higgs sector of the minimal fat Higgs model has a mass spectrum that is distinctly different from that of the minimal supersymmetric standard model.

31 August 2021 in ACS Nano
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KZKunyan Zhang
Kunyan Zhang
YGYunfan Guo
Yunfan Guo
DLDaniel T Larson
Daniel T Larson
ZZZiyan Zhu
Ziyan Zhu
SFShiang Fang
Shiang Fang
SHShengxi Huang
Shengxi Huang

25 September 2020 in Scientific Reports
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TRTrevor David Rhone
Trevor David Rhone
WCWei Chen
Wei Chen
SDShaan Desai
Shaan Desai
STSteven B. Torrisi
Steven B. Torrisi
DLDaniel T Larson
Daniel T Larson
EKEfthimios Kaxiras
Efthimios Kaxiras
We use a data-driven approach to study the magnetic and thermodynamic properties of van der Waals (vdW) layered materials. We investigate monolayers of the form $$\hbox {A}_2\hbox {B}_2\hbox {X}_6$$ A 2 B 2 X 6 , based on the known material $$\hbox {Cr}_2\hbox {Ge}_2\hbox {Te}_6$$ Cr 2 Ge 2 Te 6 , using density functional theory (DFT) calculations and machine learning methods to determine their magnetic properties, such as magnetic order and magnetic moment. We also examine formation energies and use them as a proxy for chemical stability. We show that machine learning tools, combined with DFT calculations, can provide a computationally efficient means to predict properties of such two-dimensional (2D) magnetic materials. Our data analytics approach provides insights into the microscopic origins of magnetic ordering in these systems. For instance, we find that the X site strongly affects the magnetic coupling between neighboring A sites, which drives the magnetic ordering. Our approach opens new ways for rapid discovery of chemically stable vdW materials that exhibit magnetic behavior.

3 August 2018 in Physical Review B
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DLDaniel T Larson
Daniel T Larson
EKEfthimios Kaxiras
Efthimios Kaxiras
We study the Raman spectrum of CrI3, a material that exhibits magnetism in a single layer. We employ first-principles calculations within density functional theory to determine the effects of polarization, strain, and incident angle on the phonon spectra of the three-dimensional bulk and the single-layer two-dimensional structure, for both the high- and low-temperature crystal structures. Our results are in good agreement with existing experimental measurements and serve as a guide for additional investigations to elucidate the physics of this interesting material.

1 January 2005 in Nuclear Physics B
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Journal Article
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RHRoni Harnik
Roni Harnik
DLDaniel T Larson
Daniel T Larson
HMHitoshi Murayama
Hitoshi Murayama
MTMarc Thormeier
Marc Thormeier