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Jie Chen

Assistant Professor

Virginia Tech

United States

Research Interests

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Articles (20)

Collaborators (4)

Suyi Li

Associate Professor

Virginia Tech

UNITED STATES

Qifeng Wang

Northwestern University

UNITED STATES

Sinan Keten

Northwestern University

UNITED STATES

Kenneth R. Shull

Northwestern University

UNITED STATES

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Jie Chen

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (4)

Suyi Li

Qifeng Wang

Sinan Keten

Kenneth R. Shull

Make your next move.

Jie Chen

Research Interests

Make your next move.

Explore related searches

Articles (20)

Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning

The next generation of lipid nanoparticles for <i>in vivo</i> engineering and targeted delivery

High-dimensional design of kirigami patches metamaterials using physics-based machine learning with uncertainty quantification

Transient mixed-EHL analysis of the plunger-bore interface in radial pumps: Influence of surface deformation and variable interface length

Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization

Materials Discovery Using Uncertainty-Aware Constrained Bayesian Optimization With Representation Learning of High-Dimensional Inputs

A transient mixed-lubrication model of the plunger-bore interface inside radial pumps

Real-Time Visualization of Single Polymer Conformational Change in the Bulk State during Mechanical Deformation

Adaptive Uncertainty-Aware Deep Learning for Materials Discovery With High-Dimensional Design Inputs

An Integer Approximation for the Discrete Fourier Transform Matrix for Fast Time-Series Data Analysis

Bayesian Hierarchical Models and Neural Networks for Defect-Based Fatigue Prediction in Additive Manufacturing

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Graph representation of local environments for learning high-entropy alloy properties

Probabilistic Physics-Guided Machine Learning With Missing Data: Applications in Additive Manufacturing

Uncertainty quantification driven machine learning for improving model accuracy in imbalanced regression tasks

Neural Optimization Machine for Design With Neural Network Based Objectives and Constraints

Probabilistic Fatigue Life Prediction of AM-Built Alloy Using Physics-Guided Neural Network

Learning Molecular Mixture Property Using Chemistry-Aware Graph Neural Network

Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion

Tire Life Assessment for Increasing Re‐Manufacturing of Commercial Vehicle Tires

Collaborators (4)

Suyi Li

Qifeng Wang

Sinan Keten

Kenneth R. Shull

Make your next move.