Materials Scientist — Wuhu, China

PING CHENG

程平 — Lecturer in Materials Engineering. I grow porous crystals (MOFs) into carbons, aerogels and filters, and teach machines to find the next one — so that data answers before the experiment does.

DegreePh.D., The University of Queensland
FocusMOF-derived materials × materials informatics
AffiliationWuhu Institute of Technology 芜湖职业技术大学

Profile

An unlikely path,
on purpose.关于 — 跨学科轨迹

My route into materials was deliberately indirect: bioengineering at Anhui University, biotechnology at The University of Queensland, then a Ph.D. in UQ's nanomaterials group under Prof. Yusuke Yamauchi — where my work settled on porous nanomaterials and MOF-derived functional materials for water treatment, adsorption and electrocatalysis.

Years of trial-and-error at the bench convinced me that materials design need not be blind screening. I now work at the materials × AI interface — using machine learning to predict structure–property relations, and causal inference with active learning to accelerate catalyst discovery. Since 2025 I have been a lecturer at the School of Materials Engineering, Wuhu Institute of Technology.

0Publicationspeer-reviewed papers
0CitationsGoogle Scholar, 2026-09
0Funded projectsas principal investigator
0Degreesacross three disciplines

Research

Three directions,
one question.研究方向 — 材料 × 智能

01

Materials informatics

Machine-learning-driven screening and discovery — active learning and causal inference to balance structure identification against prediction, with interpretable models (XGBoost / SHAP) surfacing the descriptors that matter.

02

MOF-derived carbons

Template and etching strategies that turn metal-organic frameworks into hierarchical porous carbons — for supercapacitors, electrochemical sensing and high-capacity adsorption.

03

Porous materials for water

Shaped MOF aerogels and nanoarchitectured filters that make powder catalysts practical — recoverable, scalable water treatment instead of lab-scale demos.

Funded as Principal Investigator

Integrated CO2 capture & conversion over porous-material-supported metal catalysts — Provincial Natural Science Research Project for Young Scholars, Anhui 2025.11 – 2027.11 · CNY 100,000
TPV elastomer materials for field-towed cables — Open Project, National & Local Joint Engineering Research Center for Special Wire and Cable 2026.01 – 2028.01 · CNY 20,000

Plus one patent application filed (2026): a causality-aware active-learning method and system for catalyst discovery, CN 202611073776.5, pending.

Publications

Selected papers.论文成果 — 已发表 17 篇

2026 Metal-Organic Framework-Templated Deconstruction–Reconstruction Enables 1D-to-2D Self-Assembly of Transition Metal Phosphates for Ammonia Sensing SmallFirst author 2026 Causal Intervention Active Learning for Oxide Material Screening: Balancing Structure Identification and Prediction CatalystsFirst author 2025 Carbonized Ce/Cu Metal-Organic Framework-Derived Porous Nanorods for High-Performance Adsorption of Organic Pollutants LangmuirCorresponding 2025 Unveiling the Adsorption Dynamics of Proteins on Saponite Clay Nanosheets Surf. InterfacesFirst author 2024 Bimetallic MOF-Derived Porous 1D Carbon Materials for Electrochemical Sensing of Dopamine Chem. Eng. J.Co-author 2023 Carbon Nanotube-Decorated Hierarchical Porous Nickel/Carbon Hybrid from a Ni-MOF for Enhanced Methyl Blue Adsorption J. Colloid Interface Sci.First author 2020 In-Situ Fabrication of Nanoarchitectured MOF Filter for Water Purification J. Hazard. Mater.First author 2020 Practical MOF Nanoarchitectonics: New Strategies for Enhancing the Processability of MOFs LangmuirFirst author · Review

Lab

Built things.工程实践 — 系统与场景

Beyond the bench: information systems, data dashboards and small WebGL scenes. Hover a row to preview; open in a new tab for the full picture.

Interactive WebGL scenes

Contact

Let's talk.联系我 — 合作与交流

101508@whit.edu.cn
Send email Collaboration, supervision, or a chat about materials × ML — all welcome.