Academic CV

Research archive · 2026

Zongming Ni

From material mechanisms to interpretable computation.

My work spans optoelectronic devices, artificial intelligence, data-driven scientific discovery, and quantitative finance, with a particular interest in connecting physical mechanisms, experimental data, and interpretable computational modeling.

PerovskiteOptoelectronic devicesAI for ScienceData-driven discoveryQuantitative finance

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Profile

Academic Foundation and Research Orientation

An overview of my academic training, research experience, and current research focus in the fields of optoelectronic devices, artificial intelligence-driven science, and quantitative modeling.

Academic Foundation

Academic Training

2 stages

2020.09 - 2023.06

M.Eng., Materials Science and Engineering

Wuyi University

Research focus on lead-free perovskite phosphors and other optoelectronic materials.
Training in materials synthesis, structural characterization, and optical property analysis.

2016.09 - 2020.06

B.Eng., Materials Science and Engineering

Suqian College

Undergraduate training in materials science and engineering.
Coursework and thesis experience related to functional materials and photocatalytic performance.

Research Orientation

Research Interests

My current research interests cover scientific artificial intelligence, interpretable optimization of optoelectronic devices, and dynamic portfolio management modeling.

Focus Areas

Artificial IntelligenceMaterial IntelligenceOptoelectronic DevicesStochastic Optimal Control

Research Vision

I aim to connect material structure, interface behavior, carrier dynamics, device performance, and data-driven optimization into an interpretable research workflow toward scalable and commercially translatable optoelectronic technologies.

Experience

Research Experience and Training Timeline

A timeline-style summary of research training and professional research experience across optoelectronic materials, photovoltaic devices, and AI-assisted scientific discovery.

Research stages

Perovskite

Core system

AI for Science

Direction

Research Training2021.08 - 2023.04

Role

Joint Research Student

State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences

Changchun City, Jilin Province, P.R. China

Research Summary

Conducted research on lead-free perovskite-related optoelectronic materials, connecting composition design, structural characterization, and tunable optical emission.

Studied perovskite-related phosphors and heterojunction materials for white-light emission applications.
Built research experience across synthesis, structural analysis, optical characterization, and mechanism interpretation.
Developed a stronger foundation in materials chemistry, optoelectronic behavior, and experimental research workflows.

Lead-free perovskitesOptoelectronic materialsWhite emissionMaterials characterization

Research Experience2023.11 - 2025.06

Role

Research Intern (Level I) / Assistant Engineer

Wenzhou Institute of Technology

Wenzhou City, Zhejiang Province, P.R. China

Research Summary

Worked on AI-assisted materials decision-making and performance-oriented optimization of perovskite photovoltaic devices.

Participated in data-driven research workflows for photovoltaic materials and device optimization.
Connected experimental data, interface engineering, device metrics, and AI-assisted rational design.
Strengthened research direction toward AI for Science, materials informatics, and interpretable optimization of optoelectronic systems.

AI for SciencePerovskite photovoltaicsInterface engineeringData-driven optimization

Publications

Representative Publications

Selected first-author, co-first-author, and collaborative work across perovskite optoelectronics, photovoltaic materials, AI-assisted materials design, and materials intelligence.

First-author work

Co-first-author work

Collaborative work

#1First authorAdvanced Optical Materials2023

Synthesis of Pb-Free Double-Perovskite Heterojunction (Cs2SnCl6-Bi3+&Te4+/Cs2GeF6-Mn4+) with White Emission for LED Application

Zongming Ni, Jianwei Zhao, Guodong Zhang, Yeqing Chen, Haozhao Lian, Jun Lin

Lead-free perovskite optoelectronic materials

First-author work on perovskite-related optical materials, white-light emission, structural characterization, and optoelectronic property interpretation.

Research Tags

Double perovskitesLead-free heterojunctionColor rendering indexCorrelated color temperatureWhite light emitting diodes

Open DOI

10.1002/adom.202203029

#2Co-first authorApplied Energy2026

ChatGPT-assisted rational design for iterative performance optimization of perovskite solar cells

Xinyu Zhang, Zongming Ni, Billy Fanady, Feibei Chen, Zijian Chen, Zixuan Wanget al.

AI-assisted photovoltaic device optimization

Co-first-author work connecting AI-assisted research workflows, experimental iteration, and perovskite solar-cell performance optimization.

Research Tags

Perovskite solar cellChatGPTCo-SAMsRational designIterative performance optimization

Open DOI

10.1016/j.apenergy.2026.128256

#3Co-authorACS Energy Letters2026

Stronger Lewis Base Antisolvents Improve Perovskite Nanocrystal Stability

Junzhi Ye, Charlie Nicholls, Woo Hyeon Jeong, Dong Yoon Chung, Ashish Gaurav, Kieran De-Villeet al.

Perovskite nanocrystal stability

Collaborative work on antisolvent chemistry, Lewis-base interactions, and stability improvement in perovskite nanocrystal systems.

Research Tags

PerovskitesSolventsNanocrystalsLigandAntisolvents

Open DOI

10.1021/acsenergylett.6c00480

#4Co-authorNexus2025

Material intelligence by the convergence of artificial intelligence and robotic platforms

Xinyu Zhang, Zijian Chen, Feibei Chen, Billy Fanady, Boyuan Wang, Zongming Niet al.

Materials intelligence and autonomous research platforms

Collaborative review-oriented work related to artificial intelligence, robotic platforms, and accelerated materials discovery.

Research Tags

Material intelligenceArtificial intelligenceRobotic platformsRational designControllable synthesis

Open DOI

10.1016/j.ynexs.2025.100083

#5Co-authorThe Journal of Physical Chemistry C2022

Phase Regulation and Surface Passivation of Stable α-CsPbI3 Nanocrystals with Dual-Mode Luminescence via Synergistic Effects of Ligands

Xueying Chen, Yeqing Chen, Jie Huang, Chen Li, Zongming Ni, Kang Zhanget al.

Perovskite nanocrystal surface chemistry

Collaborative work on phase regulation, ligand effects, surface passivation, and luminescence behavior in perovskite nanocrystals.

Research Tags

PerovskitesDiffractionNanocrystalsLigandsPower

Open DOI

10.1021/acs.jpcc.1c10040

Methods

Research Methods Matrix

A structured overview of experimental, computational, AI-assisted, and quantitative methods used across optoelectronic materials, photovoltaic devices, and data-driven research.

Method Area

Experimental Characterization

Scope

Materials structure, morphology, composition, and optical response

Research Application

Used to connect material synthesis, phase behavior, surface morphology, and optoelectronic properties.

Strategy / Competncy Focus

XPSSEMTEMAFMXRDPLUV-vis absorptionEQESolar Simulator

Method Area

Interface and Materials Engineering

Scope

Perovskite interfaces, passivation strategies, and band alignment

Research Application

Focused on interface-controlled optoelectronic behavior and rational design of photovoltaic materials.

Strategy / Competncy Focus

2D/3D perovskite heterojunctionCo-SAMsSurface passivationBand bending engineering

Method Area

AI for Science

Scope

Data-driven modeling, interpretable optimization, and scientific decision support

Research Application

Used to accelerate experimental iteration and extract structure-property-performance relationships.

Strategy / Competncy Focus

Scientific machine learningFeature engineeringData-driven modelingNeural operator

Method Area

Data Analysis

Scope

Scientific data processing, visualization, and research workflow automation

Research Application

Supports experimental data cleaning, spectral analysis, literature-assisted extraction, and reproducible analysis.

Strategy / Competncy Focus

PythonData cleaningin-situ Spectral data processingAI-assisted research workflow

Method Area

Quantitative Finance

Scope

Optimization, stochastic systems, and dynamic decision-making

Research Application

Extends mathematical and computational modeling skills toward portfolio optimization and dynamic systems.

Strategy / Competncy Focus

Portfolio optimizationAlgorithmic tradingBacktestingStochastic Optimal ControlDynamic programmingContinuous-time stochastic systems

Recognition

Awards and Certificates

Selected academic awards, professional recognition, and certificates, with different disclosure strategies based on privacy sensitivity.

Listed recognitions

Public

Redacted preview

Private only

Category

Academic Awards

5 items

2016 - 2017Redacted preview