Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Arun Majumdar

Arun Majumdar

· Chester Naramore Dean, Stanford Doerr School of Sustainability Jay Precourt Professor of Mechanical Engineering and of Energy Science & Engineering Senior Fellow, Precourt Institute for EnergyVerified

Stanford University · Earth and Planetary Sciences

Active 1965–2025

h-index145
Citations91.4k
Papers62965 last 5y
Funding$147k
See your match with Arun Majumdar — sign in to PhdFit.Sign in

About

Arun Majumdar is a faculty member associated with the Stanford Doerr School of Sustainability. The page does not provide specific details about his research focus, background, or key contributions. Therefore, no further biographical information is available from the provided text.

Research topics

  • Computer Science
  • Engineering
  • Materials science
  • Economics
  • Chemistry
  • Environmental science
  • Meteorology
  • Physics
  • Composite material
  • Engineering physics
  • Environmental economics
  • Optics
  • Electrical engineering
  • Architectural engineering
  • Physical chemistry
  • Mechanical engineering
  • Telecommunications
  • Business
  • Process engineering
  • Aerospace engineering
  • Nanotechnology
  • Natural resource economics
  • Geology
  • Thermodynamics

Selected publications

  • Solar and battery can reduce energy costs and provide affordable outage backup for US households

    Nature Energy · 2025-08-01 · 8 citations

    articleCorresponding
  • Atmospheric-pressure ammonia synthesis on AuRu catalysts enabled by plasmon-controlled hydrogenation and nitrogen-species desorption

    Nature Energy · 2025-12-05 · 8 citations

    article
  • Humidity-Tolerant Photocatalysts for Methane Removal

    SSRN Electronic Journal · 2025-01-01 · 1 citations

    preprintOpen accessSenior author
  • Oxidant-assisted methane pyrolysis

    Chemical Science · 2025-01-01 · 2 citations

    articleOpen access

    O in the feed. We provide evidence that the cyclic formation and decomposition of an iron carbide catalyst phase allowed for increased methane decomposition and significant carbon removal from the catalyst surface, thus increasing carbon and hydrogen yields. A similar result was obtained for Ni- and Co-based catalysts.

  • Interface-Driven Performance and Thermal Effects in Dual-Gated ITO Transistors

    2025-06-22

    article

    Amorphous oxide semiconductors like indium tin oxide (ITO) are promising for field-effect transistors (FETs) with high drive currents and low off-state currents [1–5], enabling back-end-of-line ($\leq 500^{\circ} \mathrm{C}$) [6] integration due to their ability to be deposited at low temperatures on a large scale [1–5, 7, 8]. However, fabricating nanoscale ITO transistors with dual gate control remains challenging, as the device performance is highly susceptible to the interfaces with the top-gate dielectric and the metal contacts [9]. While we have previously demonstrated dual-gated ITO transistors with high current [10], the physical mechanisms behind degradation at short ($\lt 100 \mathrm{~nm}$) channel lengths were not explored. Moreover, the thermal implications of high drive currents in oxide transistors also remain unknown. Here, we address these research gaps to provide physical insights and highlight key parameters for future designs.

  • Electron-magnon coupling at the interface of a "twin-twisted" antiferromagnet

    ArXiv.org · 2025-06-11 · 1 citations

    preprintOpen access

    We identify a "twin-twist" angle in orthorhombic two-dimensional magnets that maximizes interlayer orbital overlap and enables strong interfacial coupling. Focusing on the van der Waals antiferromagnet CrSBr, we show that this twist angle, near 72 deg, aligns diagonal lattice vectors across the layers, enhancing the interlayer hopping that is spin-forbidden in pristine systems and orbital-forbidden in 90-deg-twisted samples. The enhanced hopping modifies the electronic structure and activates a novel mechanism for excitation of interfacial magnons. Using optical probes we discover that excitons on one side of the interface selectively excite magnons localized on the opposite side. We show that this cross-coupling phenomenon can be understood as a consequence of the spin-transfer torque as that arises as electrons tunnel across the twin-twisted interface. Our findings demonstrate that large-angle twisting in anisotropic 2D materials offers a powerful tool for engineering spin and charge transport through controlled interlayer hybridization, opening new avenues for twisted magnetism and strongly correlated moiré physics.

  • Atomic-Scale Control and Detection of Ferromagnetic Phase Transformation by Using Atomic-Scale Electron Probe

    Microscopy and Microanalysis · 2025-07-01

    articleOpen accessSenior author

    Controlling and detecting ferromagnetic phase transformations at high spatial resolutions are crucial for advancing our understanding of spintronics and high-density information storage applications [1][2][3].Traditional methods for achieving these transformations typically involve thermal treatment [4,5] or chemical agents [6,7], which can significantly alter the thermodynamic phase diagram of bulk compounds.However, these methods have a fundamental limitation for local modification, as the entire sample is subjected to the same environment.Alternative approaches, such as using light excitation [8,9], biasing [10,11], or scanning tipbased methods [12,13], have been proposed and demonstrated to manipulate thermodynamic stability at the microscale.Nevertheless, achieving control at the nanoscale remains challenging due to the intrinsic length scale constraints of these methods.In this work, we propose a unique method using a high-resolution electron beam[14] to control and detect the transition from non-ferromagnetic to ferromagnetic phases at the atomic level.We demonstrate that an atomic probe can initiate the phase transition between the rock salt and spinel structures in NiFe 2 O 4 .The electron beam allows for precise control of this transition, enhancing the material's properties at high spatial resolutions (Fig. 1a,b).The transition between ferromagnetic and non-ferromagnetic phases can be both controlled and imaged at the atomic scale (Fig. 1b).Furthermore, the ferromagnetic signal can be detected at the nanoscale using electron magnetic circular dichroism (EMCD) [15,16], enabling the manipulation and detection of ferromagnetic phases with high spatial precision (Fig. 1c).Our study also provides insights into the mechanisms behind the ferromagnetic transition.Imaging of light elements revealed that the oxygen network in the rock salt films undergoes structural distortions, and transitional metal cations migrate through various lattice sites.These movements are facilitated by the presence of cation vacancies and lead to the formation of the ferromagnetic spinel phase when the rock salt films are exposed to an electron beam (Fig. 2a).In addition, the phase transition can also be reversed by using a simple heating method (Fig. 2b).This atomic-scale engineering enables potential applications in magneto-optic-based information storage and related devices [17].

  • PyOpticon: An Open-Source Python Package for Laboratory Control, Automation, and Visualization

    Chemistry of Materials · 2025-06-20 · 1 citations

    articleSenior authorCorresponding

    In modern materials science and chemistry laboratories, there are many opportunities for control, data acquisition, and automation software to enhance the quality and throughput of research. Desirable traits for such software include low cost, easy and speedy implementation, compatibility with existing instruments, and the flexibility to build and modify one’s own control software. In this article, we present PyOpticon, a free and open-source Python package for controlling and acquiring data from benchtop experimental setups. PyOpticon desktop applications, termed “dashboards”, provide graphical interfaces to control different combinations of physical devices, each represented onscreen by a “widget”. We describe PyOpticon’s features with respect to graphical interfaces, remote control of experimental setups, data logging, safety interlocks, and automation capabilities. We highlight the ability to script complex or repetitive experiments using Python code. While existing commercial software tools offer such features, PyOpticon makes them available for free to researchers with only a basic knowledge of Python, who can then adjust and reconfigure their control software without outside help. Detailed online documentation and tutorials are available to support new users. We discuss the package’s structure, offer examples of its implementation, and demonstrate its use in experiments on the photocatalytic total oxidation of dilute methane.

  • Solar and batteries are affordable options for US households

    Nature Energy · 2025-08-01 · 1 citations

    articleCorresponding
  • Hydrogenation of Oxides in Nonaqueous Battery Electrolytes and Beyond

    ACS Energy Letters · 2025-07-24 · 3 citations

    article

    The study of lithium-ion batteries (LIBs) has historically focused on the movement of lithium ions, which is coupled with electron transfer to reversibly store and release energy from metal oxides thousands of times. However, a recent discovery identified an additional coupled electron–ion transfer process occurring between oxide cathodes and nonaqueous electrolytes, particularly during the self-discharge process. Here, we discuss ongoing efforts to probe and understand how chemical processes (e.g., reactions and transport involving solvent-derived hydrogen) impact the self-discharge of LIBs and the evolution of heterogeneity and disorder in layered oxide cathodes. Beyond batteries using nonaqueous electrolytes, we further discuss the implications of solvent-mediated or other hydrogen-related pathways of significance to other electrochemical materials and devices. We envision future directions to understand and control how oxide hydrogenation impacts electrochemical behaviors so that research efforts can be better aligned toward mitigating the multiple sources of self-discharge and chemo-mechanics in electrochemical energy storage devices.

Recent grants

Frequent coauthors

Education

  • Ph.D., Materials Science and Engineering

    University of California, Berkeley

    1991
  • M.S., Materials Science and Engineering

    University of California, Berkeley

    1987
  • B.S., Metallurgical Engineering

    Indian Institute of Technology, Kanpur

    1985
  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Arun Majumdar

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup