Shengxi Huang

About

Shengxi Huang is an associate professor at Rice University with appointments in the Department of Electrical and Computer Engineering, Department of Materials Science and NanoEngineering, and Department of Bioengineering. Prior to joining Rice, she was an assistant professor at The Pennsylvania State University in the Electrical Engineering Department, Biomedical Engineering Department, and Materials Research Institute. She earned her PhD in Electrical Engineering and Computer Science at MIT in 2017 under the supervision of Professors Mildred Dresselhaus and Jing Kong, followed by a postdoctoral position at Stanford University with Professors Tony Heinz and Jonathan Fan. Shengxi also holds an MS degree in EECS from MIT and a bachelor's degree with highest honors in Micro- and Nano-Electronics from Tsinghua University, China. Her research focuses on optical spectroscopy of low-dimensional materials and Weyl semimetals, exploring the applications of these quantum materials in optoelectronics and sensing. Shengxi Huang has received multiple prestigious awards including the NSF CAREER Award, AFOSR Young Investigator Award, Johnson & Johnson WiSTEM2D Award, Kavli Fellowship for Nanoscience, Jin Au Kong Award for Best PhD Thesis at MIT, and the Ginzton Fellowship at Stanford University.

Research topics

• Computer Science
• Physics
• Condensed matter physics
• Materials science
• Artificial Intelligence
• Nanotechnology
• Optoelectronics
• Optics
• Chemistry
• Quantum mechanics

Selected publications

• Recent Advances in 2D Material Theory, Synthesis, Properties, and Applications

  ACS Nano · 2023 · 289 citations

  Two-dimensional (2D) material research is rapidly evolving to broaden the spectrum of emergent 2D systems. Here, we review recent advances in the theory, synthesis, characterization, device, and quantum physics of 2D materials and their heterostructures. First, we shed insight into modeling of defects and intercalants, focusing on their formation pathways and strategic functionalities. We also review machine learning for synthesis and sensing applications of 2D materials. In addition, we highlig…

  PublisherOA PDFDOI

• Room-temperature high-purity single-photon emission from carbon-doped boron nitride thin films

  Science Advances · 2025-06-20 · 21 citations

  articleOpen accessSenior authorCorresponding

  Hexagonal boron nitride (h-BN) has emerged as a promising platform for generating room temperature single photons exhibiting high brightness and spin-photon entanglement. However, improving emitter purity, stability, and scalability remains a challenge for quantum technologies. Here, we demonstrate highly pure and stable single-photon emitters (SPEs) in h-BN by directly growing carbon-doped, centimeter-scale h-BN thin films using the pulsed laser deposition (PLD) method. These SPEs exhibit room…

  PublisherDOI

• Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression

  ACS Nano · 2025-04-15 · 15 citations

  articleOpen accessSenior authorCorresponding

  Optical spectroscopy, a noninvasive molecular sensing technique, offers valuable insights into material characterization, molecule identification, and biosample analysis. Despite the informativeness of high-dimensional optical spectra, their interpretation remains a challenge. Machine learning methods have gained prominence in spectral analyses, efficiently unveiling analyte compositions. However, these methods still face challenges in interpretability, particularly in generating clear feature i…

  PublisherOA PDFDOI

• Manufacturing Chip-Scale 2D Monolayer Single Crystals through Wafer-Bonder-Assisted Transfer

  Nano Letters · 2025-09-23 · 5 citations

  articleSenior authorCorresponding

  Significant progress has been made in growing large-area transition metal dichalcogenide (TMD) monolayers, but most rely on stitching small flakes, which can affect electronic and optical performance. High-quality single-crystal monolayers are needed for device applications. Here, we report a wafer-bonder-assisted transfer (WBAT) method to produce uniform, crack-free, single-crystal TMD monolayers over large areas. This technique integrates gold-tape exfoliation with wafer-scale bonding, enablin…

  PublisherDOI

• Tunable phononic quantum interference induced by two-dimensional metals

  Science Advances · 2025-08-06 · 3 citations

  articleOpen accessSenior author

  Harnessing quantum interference among bosons provides opportunities due to their longer coherence time than fermions. Fano resonance, an example of quantum interference between discrete and continuous states, is marked by an asymmetric lineshape. While photon-based Fano resonance has enabled high-sensitivity molecule sensing, phonon-based Fano resonance remains underexplored because of ineffective interference between discrete phonons and electronic continuum. In this work, we report phonon-base…

  PublisherDOI

Recent grants

• CAREER: Multiplexed and Selective Molecular Sensing Based on Raman Enhancement Through 2D Materials

  NSF · $500k · 2020–2022

• CAREER: Multiplexed and Selective Molecular Sensing Based on Raman Enhancement Through 2D Materials

  NSF · $393k · 2022–2027

• Topologically Enhanced Raman Spectroscopy

  NSF · $330k · 2023–2027

Frequent coauthors

• Zongyu Feng

  Grinm Advanced Materials (China)

  109 shared

• Liangshi Wang

  67 shared

• Long Zhiqi

  General Research Institute for Nonferrous Metals (China)

  62 shared

• Dali Cui

  General Research Institute for Nonferrous Metals (China)

  43 shared

• Kunyan Zhang

  Rice University

  39 shared

• Jing Kong

  Beijing Aerospace Flight Control Center

  38 shared

• Deliang Meng

  Grinm Advanced Materials (China)

  37 shared

• M. S. Dresselhaus

  Massachusetts Institute of Technology

  35 shared

Labs

• SCOPE LabPI

Education

• PhD, Electrical Engineering and Computer Science

  Massachusetts Institute of Technology

  2017

Awards & honors

• NSF CAREER Award (2020)
• AFOSR Young Investigator Award (2022)
• Johnson & Johnson STEM2D Scholar’s Award (2019)
• Dean’s Faculty Research Award, Penn State College of Enginee…
• Multidisciplinary Research Award, Penn State College of Engi…

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