papers

Publications (26)

cs.LG2026

PDE foundation models are skillful AI weather emulators for the Martian atmosphere

Johannes Schmude, Sujit Roy, Liping Wang +10

We show that AI foundation models that are pretrained on numerical solutions to a diverse corpus of partial differential equations can be adapted and fine-tuned to obtain skillful…

cs.CV2020

Learning and Recognizing Archeological Features from LiDAR Data

Conrad M Albrecht, Chris Fisher, Marcus Freitag +4

We present a remote sensing pipeline that processes LiDAR (Light Detection And Ranging) data through machine & deep learning for the application of archeological feature detection…

cs.DC2020

Event Clustering & Event Series Characterization on Expected Frequency

Conrad M Albrecht, Marcus Freitag, Theodore G van Kessel +2

We present an efficient clustering algorithm applicable to one-dimensional data such as e.g. a series of timestamps. Given an expected frequency , we introduce an $\mathc…

cond-mat.mes-hall2010

Thermal infrared emission reveals the Dirac point movement in biased graphene

Marcus Freitag, Hsin-Ying Chiu, Mathias Steiner +2

Graphene is a 2-dimensional material with high carrier mobility and thermal conductivity, suitable for high-speed electronics. Conduction and valence bands touch at the Dirac point…

astro-ph.SR2025

Surya: Foundation Model for Heliophysics

Sujit Roy, Johannes Schmude, Rohit Lal +30

Heliophysics is central to understanding and forecasting space weather events and solar activity. Despite decades of high-resolution observations from the Solar Dynamics Observator…

cond-mat.mes-hall2002

Role of Single Defects in Electronic Transport through Carbon Nanotube Field-Effect Transistors

Marcus Freitag, Sergei V. Kalinin, Dawn A. Bonnell +1

The influence of defects on electron transport in single-wall carbon nanotube field effect transistors (CNFETs) is probed by combined scanning gate microscopy (SGM) and scanning im…

cond-mat.mtrl-sci2009

Photocurrent imaging and efficient photon detection in a graphene transistor

Fengnian Xia, Thomas Mueller, Roksana Golizadeh-mojarad +5

We measure the channel potential of a graphene transistor using a scanning photocurrent imaging technique. We show that at a certain gate bias, the impact of the metal on the chann…

cond-mat.mtrl-sci2009

Energy dissipation in graphene field-effect transistors

Marcus Freitag, Mathias Steiner, Yves Martin +4

We measure the temperature distribution in a biased single-layer graphene transistor using Raman scattering microscopy of the 2D-phonon band. Peak operating temperatures of 1050 K…

astro-ph.SR2025

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction

Sujit Roy, Dinesha V. Hegde, Johannes Schmude +22

This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA's Solar Dynamics Observatory (SDO), specifically designed to advance machine…

cond-mat.mes-hall2002

Carbon nanotubes as a tip calibration standard for electrostatic scanning probe microscopies

Sergei V. Kalinin, Marcus Freitag, A. T. Johnson +1

Scanning Surface Potential Microscopy (SSPM) is one of the most widely used techniques for the characterization of electrical properties at small dimensions. Applicability of SSPM…

cond-mat.mes-hall2009

Carrier scattering, mobilities and electrostatic potential in mono-, bi- and tri-layer graphenes

Wenjuan Zhu, Vasili Perebeinos, Marcus Freitag +1

The carrier density and temperature dependence of the Hall mobility in mono-, bi- and tri-layer graphene has been systematically studied. We found that as the carrier density incre…

astro-ph.SR2024

AI Foundation Model for Heliophysics: Applications, Design, and Implementation

Sujit Roy, Talwinder Singh, Marcus Freitag +14

Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness…

cond-mat.mes-hall2013

Photocurrent in graphene harnessed by tunable intrinsic plasmons

Marcus Freitag, Tony Low, Wenjuan Zhu +3

Graphene's optical properties in the infrared and terahertz can be tailored and enhanced by patterning graphene into periodic metamaterials with sub-wavelength feature sizes. Here…

cond-mat.mtrl-sci2010

Wafer-scale Epitaxial Graphene Growth on the Si-face of Hexagonal SiC (0001) for High Frequency Transistors

Christos Dimitrakopoulos, Yu-Ming Lin, Alfred Grill +12

Up to two layers of epitaxial graphene have been grown on the Si-face of two-inch SiC wafers exhibiting room-temperature Hall mobilities up to 1800 cm^2/Vs, measured from ungated,…

cond-mat.mes-hall2012

Mid-infrared plasmons in scaled graphene nanostructures

Hugen Yan, Tony Low, Wenjuan Zhu +6

Plasmonics takes advantage of the collective response of electrons to electromagnetic waves, enabling dramatic scaling of optical devices beyond the diffraction limit. Here, we dem…

cond-mat.mes-hall2012

Photoconductivity of biased graphene

Marcus Freitag, Tony Low, Fengnian Xia +1

Graphene is a promising candidate for optoelectronic applications such as photodetectors, terahertz imagers, and plasmonic devices. The origin of photoresponse in graphene junction…

cond-mat.other2005

Device modeling of long-channel nanotube electro-optical emitter

J. Tersoff, Marcus Freitag, James C. Tsang +1

We present a simple analytic model of nanotube electro-optical emitters, along with improved experimental measurements using PMMA-passivated devices with reduced hysteresis. Both t…

cond-mat.mtrl-sci2014

Substrate Sensitive Mid-Infrared Photoresponse in Graphene

Marcus Freitag, Tony Low, Luis Martin-Moreno +3

We report mid-infrared photocurrent spectra of graphene nanoribbon arrays on SiO2 dielectrics showing dual signatures of the substrate interaction. First, hybrid polaritonic modes…

cond-mat.mes-hall2011

Infrared Spectroscopy of Wafer-Scale Graphene

Hugen Yan, Fengnian Xia, Wenjuan Zhu +5

We report on spectroscopy results from the mid- to far-infrared on wafer-scale graphene, grown either epitaxially on silicon carbide, or by chemical vapor deposition. The free carr…

cond-mat.mes-hall2002

Tip-gating Effect in Scanning Impedance Microscopy of Nanoelectronic Devices

Sergei V. Kalinin, Dawn A. Bonnell, Marcus Freitag +1

Electronic transport in semiconducting single-wall carbon nanotubes is studied by combined scanning gate microscopy and scanning impedance microscopy (SIM). Depending on the probe…

cond-mat.mes-hall2011

Layer Number Determination and Thickness-dependent Properties of Graphene Grown on SiC

Wenjuan Zhu, Christos Dimitrakopoulos, Marcus Freitag +1

The electronic properties of few-layer graphene grown on the carbon-face of silicon carbide (SiC) are found to be strongly dependent on the number of layers. The carrier mobility i…

cond-mat.mtrl-sci2009

How does the substrate affect the Raman and excited state spectra of a carbon nanotube?

Mathias Steiner, Marcus Freitag, James C. Tsang +4

We study the optical properties of a single, semiconducting single-walled carbon nanotube (CNT) that is partially suspended across a trench and partially supported by a SiO2-substr…

cs.CV2024

Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling

Masato Sakai, Marcus Freitag, Akihisa Sakurai +2

Preservation of the Nasca geoglyphs at the UNESCO World Heritage Site in Peru is urgent as natural and human impact accelerates. More frequent weather extremes such as flashfloods…

cond-mat.mes-hall2012

Cooling of photoexcited carriers in graphene by internal and substrate phonons

Tony Low, Vasili Perebeinos, Raseong Kim +2

We investigate the energy relaxation of hot carriers produced by photoexcitation of graphene through coupling to both intrinsic and remote (substrate) surface polar phonons using t…

cond-mat.mes-hall2012

Manipulating infrared photons using plasmons in transparent graphene superlattices

Hugen Yan, Xuesong Li, Bhupesh Chandra +6

Superlattices are artificial periodic nanostructures which can control the flow of electrons. Their operation typically relies on the periodic modulation of the electric potential…

cs.LG2024

TensorBank: Tensor Lakehouse for Foundation Model Training

Romeo Kienzler, Leonardo Pondian Tizzei, Benedikt Blumenstiel +9

Storing and streaming high dimensional data for foundation model training became a critical requirement with the rise of foundation models beyond natural language. In this paper we…