Ali Javey (Advisor)

Research Advised by Professor Ali Javey

Javey Group:  List of Projects | List of Researchers

BPNX1026: Strong, Tunable Mid-IR Emission from Black Phosphorous Film

Kyuho Lee
Naoki Higashitarumizu
Shu Wang
Hyong Min Kim
Theodorus Jonathan Wijaya
2025

A weak van der Waals (vdW) force in layered materials enables their isolation into thin flakes through mechanical exfoliation while sustaining their intrinsic electronic and optical properties. Here, we introduce a universal roll-printing method capable of producing vdW multilayer films on wafer-to-meter scale. This process uses sequential exfoliation and transfer of layered materials from the powder sources to target substrates through a repeated rolling of a cylindrical metal drum. We achieve uniformly coated films with a library of vdW powders on various mechanically rigid and...

BPNX1011: Nanoscale Electronics with Tellurium

I K M Reaz Rahman
Naoki Higashitarumizu
Taehoon Kim
2025

Tellurium has a one-dimensional atomic structure that favors anisotropic electronic properties. Thermally evaporated tellurium has intrigued renewed interest in nanoscale electronics due to its near ambient crystallization, featuring single crystal orientation in micro-sized domain. Here we aim to study the performance limits of tellurium thin film transistors as we scale them to single grain domains. This will allow us to test the performance limits of tellurium transistors and pave the way for its viability for integration with standard silicon processes.

Project...

Dorottya Urmossy

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
M.S. 2026 (Anticipated)

BPN984: Large-Area Processable Two-Dimensional Material Films

Naoki Higashitarumizu
Theodorus Jonathan Wijaya
Hyong Min Kim
Shu Wang
Kyuho Lee
2025

Black phosphorus (BP) is a promising material for optoelectronic applications due to its direct bandgap at all thicknesses, and low Auger recombination coefficient at high carrier densities. BP, being a two-dimensional material, lacks scalability, for which techniques for its large-area processing are important. In this work, we find methodologies to utilize this material for large-scale optoelectronic applications.

Project ended 05/31/2025

Jamie Geng

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Ali Javey (Advisor)
Ph.D. 2028 (Anticipated)

BPNX1044: Exploring Tellurium Compound‐Based p‐Type Channels for Various Functionalities

Taehoon Kim
I K M Reaz Rahman
Naoki Higashitarumizu
Inha Kim
Hyong Min Kim
Shu Wang
Robert Tseng
2025

​Tellurium-based materials (tellurides) are promising materials for p-channel transistors due to their compatibility with various elements and deposition methods. This versatility facilitates integration into diverse device architectures and enables the implementation of tailored electrical, thermal, optical, and structural properties. We investigate tellurium-based materials and their deposition techniques to optimize these multifaceted characteristics for advanced electronic applications.

Project is currently funded by: Federal

BPNX1025: In-Sensor Visible to Mid-Infrared Spectral Machine Vision

Dehui Zhang
Jamie Geng
Hyong Min Kim
Shifan Wang
2025

Multispectral and hyperspectral imaging are important optical inspection technologies. They collect the spatial and spectral information of the incidental light into 3D hypercubes, which can be post-processed into material and structural mapping of the scene. However, acquiring and analyzing the 3D hypercubes set great challenges in data collection, transportation, storage, and computation. The much higher energy, bandwidth, and memory budgets limit the implementation of high-speed, high-resolution hyperspectral imaging to achieve intelligent machine vision. This project introduces an...

BPNX1045: Scalable Bipolar Photodiodes for In-Sensor Spectral Computation

Jamie Geng
Dehui Zhang
Tyler Ferraro
Simon Starbuck
Dorottya Urmossy
2025

Machine learning enabled spectrometry has the potential to revolutionize fields like agriculture, field biology, and chemical metrology by allowing the identification of different targets in space via a spectral fingerprint. For example, fields of diseased crops requiring pesticides may show different reflectance spectra compared to healthy plants. However, current methods using a standard spectrometer and off-chip computer must acquire, transmit, then process complete reflectance or transmittance spectra, known as a hypercube, for every point of interest in space. This is costly in terms...

BPNX1051: Multifunctional Smart Contact Lens Sensing Platform

Yifei Zhan
2025

The evolution of contact lens technology is rapidly transforming these simple vision-correcting devices into advanced, multifunctional platforms. By embedding innovative sensor technologies onto contact lenses, it becomes possible to continuously monitor a person’s own well-being in a comfortable and non-invasive way. In this work, we explore the possibility of creating a multifunctional smart contact lens sensing platform that can one day help people easily track important health information, offering new ways to stay connected with their bodies without interrupting daily life.

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BPNX1028: Large Scale Synthesis of Optically Active Tellurium-Based Material

Shu Wang
Naoki Higashitarumizu
2025

Large-scale growth of high-quality semiconductors, the active component of devices, is the foundation of modern electronics. Recently, tellurium (Te) was identified as a promising material for optoelectronics due to its appealing optical properties and potential low-temperature wafer-scale production. In this project, we will develop a new method for controlled and scalable production of optically active tellurium.

Project is currently funded by: Federal