About

Jaqueline Sturm is a professor in the Department of Art and Archaeology at Princeton University, with a focus on Mediterranean art and architecture during the Late Antique and Early Medieval periods. Her research emphasizes the development and emergence of Christian art and architecture and its relationship to Late Roman art throughout the empire. Her dissertation, titled “The Bishop, His House, and His Church—Early Medieval Episcopal Complexes in Northern Italy (A.D. 300–600),” explores the architectural and artistic manifestations of authority and leadership of the bishop in Late Antique and Early Medieval Mediterranean society. This work examines a specific ensemble of buildings, including cathedrals, baptisteries, and episcopiums, that emerged during the rise of Christianity and depended on the development of the bishop's office. Jaqueline Sturm holds an M.A. in history and Christian archaeology from Friedrich-Alexander-Universität Erlangen-Nürnberg, where she authored a master’s thesis on the Early Christian tetraconch church of Seleucia Pieria. She conducted dissertation research as the Princeton Fellow at the Bibliotheca Hertziana, Max-Planck-Institute for Art History in Rome, and has participated in interdisciplinary workshops and conferences across Europe and the United Kingdom. Currently, she is a graduate fellow at the Princeton Institute for International and Regional Studies, contributing to scholarship on Late Antique and Byzantine art and architecture.

Research topics

• Engineering
• Geology
• Composite material
• Acoustics
• Electrical engineering
• Structural engineering
• Materials science

Selected publications

• A three-dimensional micro-instrumented neural network device

  Nature Electronics · 2026-04-23 · 1 citations

  article
  PublisherDOI

• Physics-Informed Graph Neural Networks for the Inverse Design of GHz Reconfigurable Antenna

  2025-03-30 · 1 citations

  articleSenior author

  Reconfigurable antennas, as a subclass of meta-surfaces, offer innovative and dynamic capabilities for wireless communication systems. Specifically, enabling radiation pattern reconfigurability allows for flexible beam steering through reverse-engineering of antenna parameters such as surface current distributions. In this work, we present a physics-informed machine learning model, leveraging fundamental physics such as Kirchhoff's current Law, to predict the switch configurations of 2-dimensional antenna arrays. We utilize a graph neural network (GNN) to effectively capture the spatial relationships between radio-frequency (RF) switches and antenna patches, closely emulating the antenna topology. Simulation results demonstrate that our approach successfully predicts switch configurations needed to generate complex far-field radiation patterns.

  PublisherDOI

• Ultra-High Frequency Zinc-Oxide Schottky Diodes for Large-Area Wireless Systems

  2025-06-22

  articleSenior author

  Recent large-area electronics (LAE) research has created key circuits and systems for wireless systems in the Internet of Things and 5G/6G [1], [2]. Among LAE devices, thin-film Schottky diodes typically reach higher frequencies than thin-film transistors (TFTs) thus providing critical functionality for wireless circuits. GHz thin-film Schottky diodes have been reported [3–7]. Their monolithic integration through LAE technologies could overcome the cost and reliability barriers facing the integration of discrete devices over large areas. However, low-temperature, plastic substrate compatible LAE processing remains a challenge to reaching high frequencies.

  PublisherDOI

• Tunable single-column deterministic lateral displacement device by adjustable crossflow

  Lab on a Chip · 2025-12-16

  articleOpen accessSenior author

  . Further, at very high flow rates (Re > 10), the resolution degrades due to a three-dimensional fluid flow pattern.

  PublisherOA PDFDOI

• eViper-2D: A Thin Large-Area Soft Robotics Platform

  2025-05-19

  article

  This paper presents the key principles of eViper-2D - a thin large-area soft robotics platform - as a new development of the previous extendable Vibrating Intelligent Piezo-Electric Robot (eViper) platform. We first introduce the mechanical, electrical, and control framework of eViper-2D, and then develop systematic and scalable methods to study the impact of diverse actuation patterns on robotic motion dynamics and energy efficiency. By integrating power electronics, communication circuits, piezoelectric actuators, and batteries onboard, the eViper-2D platform enables rapid design iteration and quick evaluation of different control strategies for the multi-actuator soft robot. The platform supports data-driven modeling via automated data acquisition. We show that eViper-2D can provide rich insights into optimizing actuation patterns to achieve agile motion and minimal cost of transport (COT).

  PublisherDOI

• Investigation of Self-Heating in ZnO Thin-Film Transistors by In-Situ Gate Resistance Measurement and Effect on Device Mobility Extraction

  2024-06-24

  articleSenior author

  Large-Area Electronics (LAE) consists of circuits and devices fabricated on large substrates for displays [1] and other applications [2 , 3] . The key LAE device is a bottom-gate thin-film transistor (TFT). On substrates with low thermal conductance, such as glass and plastics, operating a TFT will heat it, affecting carrier mobility, and may overheat it to thermal breakdown [ 4 – 6 ] . Here, we use the TFT gate electrode as a resistance thermometer [7] to measure the device temperature in-situ during operation. We also demonstrate a pulsed measurement technique in which we exploit self-heating to control the device temperature during measurement, which we use to extract effective mobility μ eff as a function of device temperature, and characterize the impact of self-heating on μ eff extracted from conventional measurements.

  PublisherDOI

• Design and Characterization of High Quality-Factor Inductors for Wireless Systems Compatible With Flexible Large-Area Electronics

  IEEE Journal on Flexible Electronics · 2024-03-21 · 3 citations

  articleOpen accessSenior author

  Resonant operation, exploiting high quality-factor planar inductors, has recently enabled giga-Hertz applications for large-area electronics (LAE), providing a new technology platform for large-scale and flexible wireless systems. This work first presents the design, analysis, and characterization methodology of flex-compatible large-area planar inductors. Specifically, three distinct radio-frequency inductor characterization methods are experimentally demonstrated and compared, with the most accurate method among them (i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> parameters in a two-port configuration) demonstrating a record-high quality factor of up to ~65 in the 2.4-GHz frequency band. Enabled by accurate characterization, key inductor design considerations regarding the resistive loss due to inductor’s metal traces are then discussed. Finally, a case study of the recently demonstrated LAE resonant switch shows the potential of these high-performance inductors towards large-area and conformal wireless systems for integrated Internet of Things and 5G/6G applications.

  PublisherOA PDFDOI

• TUNABILITY OF CRITICAL SIZE OF PARTICLE SORTING IN SINGLE-COLUMN DETERMINISTIC LATERAL DISPLACEMENT DEVICES BY LATERAL FLOW CONTROL

  2024-10-07

  articleOpen accessSenior author
  PublisherDOI

• The Future of Flexible Electronic Technology [Speaker’s Corner]

  IEEE Electron Devices Magazine · 2024-06-01

  article

  Flexible, plastically shapeable, and elastic electronic surfaces offer fascinating research and development opportunities. While producing curved displays and foldable smartphones requires large industrial efforts, the invention and early development of liquid crystal displays shows that the foundations of such technologies can be laid by small research groups.

  PublisherDOI

• Reduction of Series Resistance in Top-Gate ZnO Thin-Film Transistors by Air Exposure and Oxygen Plasma Treatment

  2024-06-24

  articleSenior author

  Thin-film transistors (TFTs) are typically made with a non-self-aligned bottom-gate process, which causes large parasitic capacitance from the gate and source/drain (S/D) overlaps. While a top-gate structure can effectively reduce the parasitic capacitance, it can lead to a large series resistance between the gated channel and the S/D contacts ( Fig. 1(a) ) due to high resistivity of the as-deposited semiconductor (ZnO in our case). We use a self-aligned plasma treatment ( Fig. 1(b) ) to lower the resistivity outside of the channel region. In the literature, oxygen strongly affects the resistivity of ZnO, as oxygen vacancies are a common defect and donor in ZnO [1] . However, oxygen plasma treatment has been reported to raise the mobility but reduce the carrier concentration [2] , or increase the carrier concentration but reduce the mobility [3] . ZnO resistivity may increase up to 10 7 mΩ·cm [4] or be reduced to 2 mΩ·cm [3] , depending on the ZnO deposition method (sputtering, sol-gel, etc.) and plasma treatment conditions, which can yield different microstructures in the ZnO thin film. In our work, we exposed top-gate nanocrystalline ZnO TFTs to an O-plasma. A self-aligned plasma treatment raised the output saturation current by a factor of ×100. But surprisingly, we find that it is the exposure to ambient air, not to the plasma, that is decisive in reducing the series resistance in our work.

  PublisherDOI

Recent grants

• NIH Grant R42CA174121

  NIH · $1.4M · 2018

• Microfluidic CAR-T Cell Processing Device

  NIH · $1.2M · 2018–2022

• NIH Grant R41HL110574

  NIH · $241k · 2014

• NIH Grant U54CA143803

  NIH · $5.6M · 2016

• Microfluidic CAR-T Cell Processing Device

  NIH · $924k · 2018–2021

Frequent coauthors

• Beth S. Slomine

  Kennedy Krieger Institute

  180 shared

• S. Wagner

  Princeton University

  179 shared

• James R. Christensen

  Johns Hopkins University

  144 shared

• Richard Holubkov

  University of Utah

  144 shared

• Frank W. Moler

  University of Michigan–Ann Arbor

  144 shared

• J. Michael Dean

  University of Utah

  108 shared

• Faye S. Silverstein

  University of Michigan–Ann Arbor

  108 shared

• Robert H. Austin

  Princeton University

  88 shared