Jinsung Kim

MATERIALS SCIENCE · SUSTAINABLE ENERGY · ELECTRONIC DEVICES

Predictive nanostructure formation and function in electronic materials

Materials scientist and engineer conducting interdisciplinary researchat the intersection of nanostructure control of organic/inorganic semiconductor materials,autonomous materials discovery, and device engineering for sustainable renewable energy,advanced sensors, and next-generation integrated photonic technologies.

Postdoctoral Associate, Mechanical Engineering, MITPh.D., Materials Science and Engineering, UCLA

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Jinsung Kim at MIT
Jinsung Kim, Postdoctoral Associate, MIT
Photo credit: Dr. Joo at MIT

Research Vision

Integrated Photonics, Sustainable Energy Harvesting, and Advanced Sensorsvia Autonomous Materials Development Platform

We envision future materials science and autonomous development engine where autonomous synthesis/processing,in-line characterization, and AI driven analysis are interacting as one connected materials design ecosystem.

Autonomous Materials Development (AMD) LabExemplary workflow for quantum dot synthesis/processing
Preparing static 3D previewThe autonomous-materials scene remains available below.
Semiconductor precursorLigand / solvent
  1. 01Precursor Dosing
  2. 02Heating and Mixing
  3. 03Sample Stabilization
  4. 04Sample Transfer
  5. 05In-line Characterization
  6. 06AI Analysis
  7. 07Closed-loop Feedback
  8. 08New Design Parameters
Current workflow stage: Precursor Dosing

Programmable synthesis/processing loops, in-line characterization, and AI guided analysis/decision engine accelerate the development of nanostructure formation and function design for electronic nanomaterials.

AutonomySustainable EnergyIntegrated PhotonicsAdvanced Sensors
POLYMERSINORGANIC SEMICONDUCTORSQUANTUM DOTSNANOSTRUCTURE CONTROLOPTOELECTRONIC AND ELECTROMECHANICAL PROPERTIES
Transparent solar cell systems integrated into future urban environments.
Energy in the Built World

Transparent solar platforms woven into daily infrastructure

Future facades, transit surfaces, and shared spaces become energy-active without sacrificing function or visibility.

Integrated photonic emitters and future optical data-center infrastructure.
Photonics at Scale

Integrated emitters and optical interconnects for future data flow

Materials advances connect nanoscale light generation to large-scale communication and computing architectures.

Research Program

Predictive Formation to Function Sciencein Polymer and Inorganic Semiconductors, and Quantum Materials.

We ask and study how nanoscale structures form, how the structures govern materials function, and how those rules can be translated into robust energy, electronic, and photonic devices with AI data driven workflow.

Formation to Function

Predictive control for heterogeneous organic/inorganic semiconductors

News

Recent updates

Jinsung started mentoring program in MIT Women’s Technology Program in Mechanical Engineering for hydrogel device design for metal ion collection, MIT, July 2026.

Jinsung received a certificate “Generative Multiscale Materials Design Program: Physics, AI, and Manufacturing” MIT, June 2026.

Jinsung received MRS Research Career Poster Pitch Award, MRS Spring conference, Hawaii, May 2026.

Jinsung presented his work “Nanoporous graphene via nanoparticle-assisted carbon oxidation,” MIT MERE, MIT, March 2026.

Jinsung presented his work “Nano structure control of graphene via nanoparticle-assisted carbon oxidation,” Microsystems Annual Research Conference (MARC), New Hampshire, January 2026.

Jinsung co-chaired the oral sessions for Clean Renewable Energy, Sustainable Materials (EN02.03, EN02.04, and EN02.08) at Materials Research Society (MRS) Fall Meeting, Boston, December 2025.

Jinsung started mentoring undergraduate students through MIT UROP program, MIT, November 2025.

Jinsung completed “Kaufman Teaching Certificate Program” at MIT to design classes and courses that promote efficient learning for students, MIT, Fall 2025.

Selected Publications

Representative work

View full publication record on Google Scholar

Teaching and Mentoring

Mentoring students to connectfundamental science with device applications.

Teaching

Teaching assistant experience across materials science (MSE101), organic chemistry, polymer structure, and thermodynamics at UCLA and POSTECH.

Mentoring

Mentored MIT undergraduate students, UCLA graduate and undergraduate students, and high-school students (outreach programs) in how to start research, hypothesis formulation and validation, experiment design, scientific presentation, and nanofabrication.

Professional Development

Kaufman Teaching Certificate Program at MIT, MRS session co-chairing, and entrepreneurship experience through Blackstone LaunchPad.