General Lab Information

Gregory Doerk

Materials Scientist, Electronic Nanomaterials, Center for Functional Nanomaterials

Gregory Doerk

Brookhaven National Laboratory

Center for Functional Nanomaterials
Bldg. 735
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-7370

Preferred Gender Pronouns (PGPs): he, him, his

Expertise | Research | Education | Appointments | Publications | Highlights | Awards


  • Self-assembly
  • Block copolymers
  • Nanofabrication
  • Reactive ion etching
  • Combinatorial experimentation

Research Activities

Greg’s research aims to direct the self-assembly of polymers and use them to synthesize new materials with tailored nano-architectures for optical, chemical, and energy applications.  Special focus is given to developing combinatorial, high-throughput, and adaptive experimental methods that will help integrate self-assembly into scalable and cost-effective processes for materials manufacturing.  


  • B.S.: Case Western Reserve University, 2005
    • Major: Chemical Engineering
  • Ph.D.: University of California, Berkeley
    • Chemical Engineering
    • Dissertation Title: Synthesis, Characterization, and Integration of Silicon Nanowires for Nanosystems Technology

Professional Appointments

  • Staff Scientist, Center for Functional Nanomaterials, Brookhaven National Laboratory, 2015 – present
  • Research Staff Member, HGST, a Western Digital Co., 2013-2015
  • Postdoctoral Researcher, IBM Research – Almaden, 2010-2013

Selected Publications

  • Doerk GS, Stein A, Bae S, et al (2023) Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends. Science Advances 9:.
  • Russell ST, Bae S, Subramanian A, et al (2022) Priming self-assembly pathways by stacking block copolymers. Nature Communications 13:.
  • Kulkarni AA, Doerk GS (2022) Hierarchical, Self-Assembled Metasurfaces via Exposure-Controlled Reflow of Block Copolymer-Derived Nanopatterns. ACS Applied Materials & Interfaces 14:27466–27475.
  • Toth K, Bae S, Osuji CO, et al (2021) Film Thickness and Composition Effects in Symmetric Ternary Block Copolymer/Homopolymer Blend Films: Domain Spacing and Orientation. Macromolecules 54:7970–7986.
  • Doerk GS, Li R, Fukuto M, Yager KG (2020) Wet Brush Homopolymers as "Smart Solvents" for Rapid, Large Period Block Copolymer Thin Film Self-Assembly. Macromolecules 53:1098–1113. doi: 10.1021/acs.macromol.9b02296
  • Noack MM, Yager KG, Fukuto M, Doerk GS, Li R, Sethian JA (2019) A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering. Scientific Reports. doi: 10.1038/s41598-019-48114-3
  • Subramanian A, Doerk G, Kisslinger K, Yi DH, Grubbs RB, Nam C-Y (2019) Three-dimensional electroactive ZnO nanomesh directly derived from hierarchically self-assembled block copolymer thin films. Nanoscale 11:9533–9546. doi: 10.1039/c9nr00206e
  • Doerk GS, Yager KG (2017) Rapid Ordering in "Wet Brush" Block Copolymer/Homopolymer Ternary Blends. ACS Nano 11:12326–12336. doi: 10.1021/acsnano.7b06154
  • Rahman A, Majewski PW, Doerk G, Black CT, Yager KG (2016) Non-native three-dimensional block copolymer morphologies. Nature Communications. doi: 10.1038/ncomms13988
  • Stein A, Wright G, Yager KG, et al (2016) Selective directed self-assembly of coexisting morphologies using block copolymer blends. Nature Communications 7:.

Research Highlights

AI Discovers New Nanostructures Using X-rays

Unlocking a Diversity of Self-Assembled Nanostructures by Layering

High-throughput Maps of Polymer Self-Assembly

Catching Light with 3D Hybrid Nanostructures

Nanodiamonds Shine with Single Photons

Catching Light with Zinc Oxide Nanomesh Sensors

Artificial Intelligence for Smarter & Faster Research

Small Polymers Can Have a Big Impact on Self-Assembly

Mixing the Right Blend Speeds Up Polymer Self-Assembly

Tricking Self-Assembly into Creating New Shapes


AI Discovers New Nanostructures

Automatically Steering Experiments Toward Scientific Discovery

Exploring Blended Materials Along Compositional Gradients

Building a Printing Press for New Quantum Materials

Accelerating the Self-Assembly of Nanoscale Patterns for Next-Generation Materials

CFN Scientist Spotlight: Gregory Doerk Guides the Self-Assembly of Materials to Make Diverse Nanoscale Patterns

Smarter Self-assembly Opens New Pathways for Nanotechnology

Awards & Recognition

2021 DOE Early Career Research Program award recipient

Gregory Doerk

Brookhaven National Laboratory

Center for Functional Nanomaterials
Bldg. 735
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-7370

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