School of Energy and Power Engineering · Jiangsu University

Carbon Materials GroupAbove the clouds, down to the science

We turn low-value biomass into high-value fuels, chemicals and functional materials — pairing catalysis and carbon materials with computation, and keeping both honest.

Biomass ValorizationCatalytic PyrolysisDFT & MechanismMachine Learning
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20+ SCI papers · 1 stubborn question
Leaving cruise altitude
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Solid ground
Experiments, data, and evidence
About the group

A small team, one stubborn question

The Carbon Materials Group is a research team at the School of Energy and Power Engineering, Jiangsu University. We ask a simple question: how do we turn biomass — an abundant, messy, low-value resource — into fuels, chemicals and functional materials that are actually worth something?

Our approach pairs experiments with theory. Catalytic pyrolysis, carbon materials and photocatalysis on one side; density functional theory (DFT) and machine learning on the other. The computation explains what the experiment sees, and the experiment keeps the computation honest.

Portrait of Ding Jiang, group leader
Led by Dr. Ding Jiang · Lecturer & PIHis profile →
News

Latest updates

Conferences, talks, papers and visits — the recent trail.

People

Small team, complementary tools

Experiments, theory, and one shared standard: the data has to be honest.

Meet the whole group →

Research

Three threads, one question: what is biomass really worth?

Every project in the group connects back to upgrading biomass and its by-products into something more valuable than burning them.

Biomass Valorization

Upgrading residues and process by-products into fuels, chemicals and functional materials — finding the value that disposal leaves on the table.

Catalysis & Carbon Materials

Designing catalysts and biochar-based materials for cleaner conversion — then testing what they actually do, not what we hoped they would do.

DFT & Computation

Density functional theory and machine learning to explain reaction mechanisms first — so experiments scale up on evidence, not on luck.

Selected Publications

Eight papers that show how the group works

Selected from 20+ SCI-indexed articles — each one pairs experiments with computation, so the two keep each other honest.

2025

Optimizing vanillin production from guaiacol-type precursors

ChemSusChem
2024

Catalytic role of biochar surface groups in phenol formation from lignin pyrolysis

Chemical Engineering Journal
2024

Study of the catalytic pyrolysis mechanism of guaiacol over seaweed-derived carbon catalyst based on DFT and machine learning

Fuel 369, 131529
2023

Chemical process of multiphase system in lignin-biochar co-pyrolysis for enhanced phenol recovery

Fuel Processing Technology 250, 107882
2023

A mechanism study of methylene blue adsorption on seaweed biomass derived carbonHigh Cited Paper

Process Safety and Environmental Protection 172, 1132–1143
2022

Insight into the CO2 adsorption onto biomass-pyrolysis derived charHigh Cited Paper

Fuel 332, 125948
2022

Activation of nitrogen-doped carbon materials on the C–N bond and C–O bond

ACS Sustainable Chemistry & Engineering 10, 7473–7484
2021

Insight into the mechanism of glycerol dehydration and subsequent pyridine synthesisCover Article

ACS Sustainable Chemistry & Engineering 9, 3095–3103

Full publication list on ResearchGate (Ding-Jiang-5) →

Ask the group

Questions? Our assistant knows our papers

An AI assistant that answers questions about the group's research and publications — strictly from our published work, with sources. Anything beyond that, it will politely hand back to email.

AI assistant — answers only from Dr. Jiang's published papers and public CV. For collaboration, admissions, or anything personal, please email jiang@dischome.cn.

Portrait of Ding Jiang
Available for collaboration

Let’s work together

Research collaboration, consulting on biomass conversion and computational catalysis, or just a good argument about AI in science — my inbox is open.