Zeren Jiao

Technical Professional

United States

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Dr. Zeren Jiao is a Technical Professional at KBR Inc, based in the United States. His research focuses on machine learning applications in material science and safety, specifically involving flame retardant polymeric nanocomposites, risk-informed location selection for floating storage and re-gasification units, and novel combustion risk assessments. Recent publications highlight his work in predictive modeling for toxic dispersion and fire safety characteristics in industrial environments.

Articles (10)

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (1)

Hans J. Pasman

UNITED STATES

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Zeren Jiao

Research Interests

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Articles (10)

Accelerated Design of Flame Retardant Polymeric Nanocomposites via Machine Learning Prediction

Risk informed floating storage and re-gasification unit (FSRU) location selection for local natural gas supply

Decellularized Pig Kidney with a Micro-Nano Secondary Structure Contributes to Tumor Progression in 3D Tumor Model

Development of Solubility Prediction Models with Ensemble Learning

Deep learning based quantitative property-consequence relationship (QPCR) models for toxic dispersion prediction

Prediction of methane hydrate formation conditions in salt water using machine learning algorithms

Developing a CFD heat transfer model for applying high expansion foam in an LNG spill

Development of novel combustion risk index for flammable liquids based on unsupervised clustering algorithms

Predicting flammability-leading properties for liquid aerosol safety via machine learning

Characteristics of fire and smoke in the natural gas cabin of urban underground utility tunnels based on CFD simulations

Collaborators (1)

Hans J. Pasman

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