Mathieu Bauchy
Associate Professor
PARISlab @UCLA
Physics of AmoRphous and Inorganic Solids Lab
Members of the PARISlab
Faculty
Gaurav Sant
Associate Professor
Postdoctoral Scholars
Biyun Zhen
Postdoctoral Scientist
Education:
B.S., Chemistry, University of Costa Rica, 2004
Licenciate, Organic Chemistry, University of Costa Rica, 2005
M.S., Natural Science, The State University at a Distance of Costa Rica, 2009
Ph.D., NanoGeoScience, University of Copenhagen, Denmark, 2016
Research interest:
My research focuses on creating the bridge to understand the link between glass degradation and precipitation of zeolites. Laboratory experiments at geological storage conditions are designed to study influencing factors that promote zeolite precipitation. I am investigating the thermodynamics and kinetics of zeolite crystallization in complex environments to identify their impact on waste glass alteration and to derive the mechanistic parameters for accurate long-term prediction of nuclear glasses.
Longwen Tang
Postdoctoral Scientist
Education:
Ph.D., Wuhan University, 2020
Research interest:
Fracture Behavior of concrete
Yu Song
Postdoctoral Scientist
Research interest:
Machine learning-informed research on novel cementitious materials. Accurate visual understanding in civil engineering applications with deep learning.
Graduate Students
Han Liu
Ph.D. Student
Research interest:
Mesoscale simulations, jamming transition.
Ling Qin
Ph.D. Student
Research interest:
Elucidating the atomic-scale mechanism of carbonation in cementitious materials by molecular dynamics simulations
Shiqi Dong
Ph.D. Student
Research interest:
Mesoscale simulations of multi-scale materials. Jamming transition, relaxation, and aging.
Ruoxia Chen
M.S. Student
Research interest:
Machine-learning based material simulation and data analysis
Qi Zhou
Ph.D. Student
Research interest:
Carbonation process of fly-ash.
Yuzhe Cao
Ph.D. Student
Research interest:
Nanoindentation on Silicate glass through peridynamic simulations
Zhe Wang
Ph.D. Student
Research interest:
Simulation of the formation of glass and disordered materials.
Kai Yang
M.S. Student
Research interest:
Atomic simulations in amorphous and cementitious materials, Machine learning in the computational materials
Boya Ouyang
Ph.D. Student
Research interest:
Machine learning, concrete strength prediction, and cost optimization.
Yushu Hu
M.S. Student
Research interest:
Structure, glass-forming ability and their relationship with reversibility of the glass transition for silicate glasses
Cheng Zhao
Ph.D. Student
Research interest:
Dynamics and thermodynamics of water in nanoscale pores of the concrete.
Zhou Li
Ph.D. Student
Research interest:
Fracture mechanics of phase-separated glasses.
Siqi Xiao
Ph.D. Student
Research interest:
Modeling of granular materials by Discrete Element Method and Machine Learning.
Fengrui Rao
Ph.D. Student
Research interest:
Modeling of porous and heterogeneous materials by Molecular Dynamics and Peridynamics.
Undergraduate Students
Kevin Li
B.S. Student
Research interest:
Using neural networks and evolutionary algorithms to create porous materials.
Beisong Liu
B.S. Student
Research interest:
Application of machine learning in glass composition and its physical properties.
Jared Rivera
B.S. Student
Research interest:
Peridynamics simulations of fracture in glasses.
Chen Jin
B.S. Student
Research interest:
Data analysis and machine learning for material science
Jingyi Chen
B.S. Student
Research interest:
Creating the prediction model of materials science by using machine learning approaches.
Alexandros Antonorsi
B.S. Student
Research interest:
Learning and becoming familiar with analyzing datasets and building models for those datasets
Enigma Bao
B.S. Student
Research interest:
Working on pattern recognization in atomic networks by machine learning
Ollie Kurilov
B.S. Student
Research interest:
Implementation of machine learning in materials’ science, exploration of the atomic structure and prediction of properties via computer modeling.
Yongzhe Wang
B.S. Student
Research interest:
Machine learning for predicting the strength development in cement pastes
Janice Li
B.S. Student
Research interest:
Application of statistical analysis and data mining, with specialization in data cleaning and feature extraction.
Kaixin Wang
B.S. Student
Research interest:
Machine Learning and Statistical Learning methods in Data Science
Yuhan Liu
B.S. Student
Research interest:
Researching machine learning techniques to discover porous materials with ideal sorption curves
Huizi Yu
B.S. Student
Research interest:
Predictions on concrete strength using machine learning algorithms
Yinsheng Zhou
B.S. Student
Research interest:
Application of machine learning models on the glass composition simulation and molecular dynamics.
Nicholas Mark
B.S. Student
Research interest:
Applying machine learning in glass science.
Lu Cheng
B.S. Student
Research interest:
Machine learning and applied mathematics.
Fan Yang
B.S. Student
Research interest:
Machine learning for predicting the stiffness of oxide glasses
Richard Wang
B.A. Student
Research interest:
Machine Learning in general with a particular passion for text analysis and Natural Language Processing
Wanxin Xie
B.S. Student
Research interest:
Applied machine learning using neural networks for prediction
Former members of the PARISlab
Yingtian Yu
Ph.D. Candicate
yuyingti@ucla.edu
List of publications
Research interest:
Simulation of silicate glasses, composition-mechanical properties relationships, mixed-ion effect, surface reactivity.
Peng Guo
Materials Engineer at Zyno Medical
pengguo@ucla.edu
List of publications
Research interest:
My research focuses on “green” building materials, designed by computational methods (DFT, molecular dynamics). Briefly, the new generation of building materials (cement clinkers) are re-designed by atomic doping substitutions in order to (1) reduce sintering temperature/energy consumption, (2) enhance reactivity/product-strength with equivalent material consumption, and (3) reduce heat capacity.
Yu-Ching Hsiao
Former M.S. Student
Now Ph.D. student at UCLA
Yongqi Wei
Former visiting scholar
Now Professor at East China Institute of China
Zin Win (Sandra) Maw
Former visiting student
Now B.S. student at U.C. Berkeley
Yizhe Zhang
B.S. Student
Now B.S. student at UCLA
Alex Young Jea Lee
Former B.S. Student
Now Field Application Engineer at SK Hynix America Inc.
Dawei Zhang
Former B.S. Student
Now Ph.D student at UC San Diego
Michala Li
B.S. Student
Research interest:
Glass-forming ability of metallic glasses.
Jonathan Berjikian
Law school student at LSAC
Research interest:
Peridynamics simulations of fracture in glasses.
N M Anoop Krishnan
Professor at IIT Delhi
anoopnm@ucla.edu
List of publications
Education:
2005-2009: B.Tech in Civil Engineering, National Institute of Technology, Calicut, India
2009-2014: Ph.D. in Civil Engineering, Indian Institute of Science, Bangalore, India
Research interest:
I am interested in an interdisciplinary research integrating ideas from physics, material sciences, and engineering with a focus on the mechanics of amorphous materials. My research involves exploring the response of materials at the atomic scale to design smart materials at the macroscale, utilizing various simulation techniques. A few current projects include irradiation response of minerals, design of fracture resistant glasses, and modeling fatigue fracture and creep in concrete.
Stephan Ahn
B.S. Student
Now B.S. student at UCLA
Michael Gervasoni
Former B.S. student
Now scientist at HRL Laboratories
Sha Liu
M.S. Student
Now Ph.D. student at UCLA
Xin Li
M.S. Student
Research interest:
Reversibility of the glass transition, relaxation.
Zegao Liu
Engineer at Tencent
Research interest:
Structure of silicate glasses, glass-forming ability.
Weiying Song
Data Analyst at Amazon
Research interest:
Reversibility of the glass transition, relaxation.
Ernest Ching
M.S. Student at MIT
Research interest:
Ion-exchange strengthening of silicate glasses.
Xinyi Xu
B.S. Student
Research interest:
Machine Learning in material science.
Bu Wang
Assistant Professor at the University of Wisconsin-Madison
wangbu@ucla.edu
List of publications
Education:
2000-2004: B.S. in Electrical Engineering, Tianjin University, China
2004-2007: M.S. in Electrical Engineering, Tianjin University, China
2007-2012: Ph.D. in Ceramic Engineering, Alfred University
Research interest:
My research focuses on the complex atomic structures of crystalline and amorphous inorganic materials. By utilizing various simulation techniques, my research strives to understand how the material properties can be predicted and engineered at the atomic level. The current project includes radiation resistance in silicates, mechanical properties and nano-ductility of oxide glasses, and amorphization of functional oxides.
Tao Du
Ph.D. Student at the Harbin Institute of technology
Research interest:
Cement-based materials, reactive molecular dynamics simulation.
Yi-Hsuan Hsiao
Ph.D. Candicate
Research interest:
Dissolution of minerals and glasses, irradiation-induced damage, nanoscale topographic imaging.
Nazreen Ahmad Sabri
B.S. Student
Research interest:
Utilizing machine learning techniques and molecular dynamics simulations to understand glass structure.
Yao Zhang
Ph.D. Student
Research interest:
2014 –present D. student，Hybrid fiber reinforced cementitious composites| Tongji University, Shanghai, China, Civil engineering
2011 –2014 S.，Structural health monitoring(damage identification)| Zhengzhou University, Zhengzhou, China, Civil engineering.
Feishu Wu
B.S. Student
Research interest:
Applying machine learning and statistical method to predict and analyze the concrete strength.
Yipeng Li
B.S. Student
Research interest:
Utilizing machine learning techniques and molecular dynamics simulations to understand glass structure
Zipeng Fu
B.S. Student
fu-zipeng@engineering.ucla.edu
Research interest:
Application of Machine Learning and Bayesian Statistics on molecular dynamics and glass dissolution rate.
Andy Peng
B.S. Student
Research interest:
Using machine learning to analyze porous materials
Hao Ma
B.S. Student
Research interest:
Machine learning for predicting the strength development in cement pastes
Xiaoling Zhang (Tony)
B.S. Student
Research interest:
Machine learning on chemical property prediction for glass composition. Data cleansing, visualization, exploratory and feature engineering.
Lik Teng Ung
B.S. Student
Research interest:
Applying machine learning methods to predict the mechanical property for different glass composition.
Albert Jian
B.S. Student
Research interest:
Machine Learning in Material Science and Electrical Engineering.
Valerie Huang
B.S. Student
Research interest:
Machine learning and materials informatics