235 outputs,
one lab.

235 outputs, 2014–2026. Search and filter the full record below.

235 shown · 235 total

2026Article

Tri‐WOB: A Bistability‐Driven Variable Stiffness Origami Structure for Soft Robotic Arms

Lingchen Kong, Yaoyao Fiona Zhao

Advanced ScienceOPEN ACCESS

2026Dataset

Time-Series Data for Hybrid Energy System Planning with Deep Reinforcement Learning: A Case Study in Ontario

Manuel Sage, Bi Cheng Zhao, Yaoyao Fiona Zhao

Zenodo (CERN European Organization for Nuclear Research)OPEN ACCESS

2026Book

Design for Additive Manufacturing

Yaoyao Fiona Zhao, Yunlong Tang, Sheng Yang, Guoying Dong

2026Article

Harnessing sub-symmetry in Waterbomb origami for soft crawlers: Enabling bi-directional motion and steering

Lingchen Kong, Yaoyao Fiona Zhao

Smart Materials in ManufacturingOPEN ACCESS

2025Article

Linking microstructure informatics with characterization knowledge in additively manufactured composites through customized and hybrid vision-language representations for automated qualification

Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, …, Yaoyao Fiona Zhao

Advanced Engineering InformaticsOPEN ACCESS

2025Article

Deep reinforcement learning for joint dispatch of battery storage and gas turbines in renewable-powered microgrids

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

Energy and AIOPEN ACCESS

2025Preprint

Machine Learning-Driven Digital Twin Construction for Additive Manufacturing: A Review

Fatemeh Elhambakhsh, Hyunwoong Ko, Giovanni Lugaresi, J. H. Xie, …, Yaoyao Fiona Zhao

OPEN ACCESS

2025Article

Accelerated quantification of reinforcement degradation in additively manufactured Ni-WC metal matrix composites via SEM and vision transformers

Mutahar Safdar, Bashir Kazimi, Karina Ruzaeva, Gentry Wood, …, Yaoyao Fiona Zhao

Materials CharacterizationOPEN ACCESS

2025Preprint

Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis

Yaoyao Fiona Zhao, Jianpeng Ma

arXiv (Cornell University)OPEN ACCESS

2025Article

Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing

Jiarui Xie, Mutahar Safdar, A. Mircéa, Bi Cheng Zhao, …, Yaoyao Fiona Zhao

Engineering Applications of Artificial IntelligenceOPEN ACCESS

2025Article

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Lingchen Kong, Yaoyao Fiona Zhao

Advanced Intelligent SystemsOPEN ACCESS

2025Preprint

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification

Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, …, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

2025Conference paper

Developing an interdisciplinary Master’s program in sustainability in engineering and design

Subhasis Ghoshal, Jim A. Nicell, Yaoyao Fiona Zhao

2025Conference paper

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing

Jiarui Xie, Yaoyao Fiona Zhao

2025Conference paper

Engineering Drawing Information Extraction for the Estimation of Carbon Footprint

Omar F. Lebbar, Rachel Yeung, Arnaud Ridard, Nikita Letov, …, Yaoyao Fiona Zhao

2025Conference paper

From Symmetry to Asymmetry: Design Framework of a Waterbomb Origami Soft Crawler for Linear and Steering Locomotion

Lingchen Kong, Juliette Fogarty, Yaoyao Fiona Zhao

2025Conference paper

A Dynamic Life Cycle Assessment Framework for Gas Turbine Package Components Using Sustainable Materials and Robotic Additive Manufacturing

Felicia Nyanyo, Lucas A. Hof, Andy Buckenberger, Yaoyao Fiona Zhao

2025Conference paper

A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction

Bogdan Bogachov, Yaoyao Fiona Zhao

2025Article

Design of a Reconfigurable Crawler based on Waterbomb Origami

Lingchen Kong, Yaoyao Fiona Zhao

Proceedings of the Design SocietyOPEN ACCESS

2025Article

Meta-level design parameters for bio-inspired impact resistance: a case study in helmet design

Pavan Tejaswi Velivela, Nikita Letov, Yaoyao Fiona Zhao

Proceedings of the Design SocietyOPEN ACCESS

2025Data paper

A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing

William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

Scientific DataOPEN ACCESS

2025Conference paper

The Economic Dispatch of Power-to-Gas Systems With Deep Reinforcement Learning: Tackling the Challenge of Delayed Rewards With Long-Term Energy Storage

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

2025Article

Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features

Mutahar Safdar, Gentry Wood, Max Zimmermann, Guy Lamouche, …, Yaoyao Fiona Zhao

Virtual and Physical PrototypingOPEN ACCESS

2025Preprint

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

2025Preprint

A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction

Bogdan Bogachov, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

2025Preprint

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing

Jiarui Xie, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

2025Article

A hybrid deep learning approach for the design of 2D Auxetic Metamaterials

Chonghui Zhang, Yaoyao Fiona Zhao

Computer Methods in Applied Mechanics and EngineeringOPEN ACCESS

2025Article

Quantification of metal powder contamination and variation of properties during multi-usage binder jetting process

Enrique Galindo, E.R.L. Espiritu, Milan Marić, Yaoyao Fiona Zhao, …, Mathieu Brochu

Particulate Science And Technology

2025Article

Human–Artificial Intelligence Teaming for Scientific Information Extraction From Data-Driven Additive Manufacturing Literature Using Large Language Models

Mutahar Safdar, Jiarui Xie, A. Mircéa, Yaoyao Fiona Zhao

Journal of Computing and Information Science in Engineering

2025Preprint

A Study of Structured/Semantic Data Extraction from Mechanical Engineering Drawings

Arnaud Ridard, Omar Lebhar, Nikita Letov, Yacine Mahdid, Yaoyao Fiona Zhao

HAL (Le Centre pour la Communication Scientifique Directe)OPEN ACCESS

2025Article

Deep reinforcement learning for economic battery dispatch: A comprehensive comparison of algorithms and experiment design choices

Manuel Sage, Yaoyao Fiona Zhao

Journal of Energy StorageOPEN ACCESS

2025Article

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing

Jiarui Xie, Mutahar Safdar, Lequn Chen, Seung Ki Moon, Yaoyao Fiona Zhao

Additive manufacturing

2025Preprint

Deep Reinforcement Learning for the Joint Dispatch of Battery Energy Storage Systems and Gas Turbines in Microgrids with Renewable Energy

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

2025Preprint

Interface-Stabilized Gel Polymer Electrolyte for High-Performance Lithium Metal Batterie

Chenxi Zhu, Yan Zhao, Rui Xu, Wei Lv, …, Yaoyao Fiona Zhao, Zhijie Zhang

SSRN Electronic JournalOPEN ACCESS

2025Preprint

Small Language Graph: Large-Scale Model Intelligence on a Small GPU

Bogdan Bogachov, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

2025Preprint

Toward Zero-Shot Generalization of Deep Reinforcement Learning for Hybrid Energy System Dispatch

Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao

SSRN Electronic JournalOPEN ACCESS

2024Article

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Chonghui Zhang, Yaoyao Fiona Zhao, Randy El Haddad

Journal of Computing and Information Science in Engineering

2024Preprint

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability

Jiarui Xie, Zhuo Yang, Che‐Yuan Hu, Haw‐Ching Yang, …, Yaoyao Fiona Zhao

arXiv (Cornell University)OPEN ACCESS

2024Conference paper

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability

Jiarui Xie, Zhuo Yang, Che‐Yuan Hu, Haw‐Ching Yang, …, Yaoyao Fiona Zhao

2024Conference paper

An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin

Yan Lu, Jiarui Xie, Mutahar Safdar, Zhuo Yang, …, Yaoyao Fiona Zhao

Showing 1–40 of 235

Whitepapers & reports

1 report

Reports, checklists, and guides the lab publishes directly. They carry no DOI, so the index behind the record above cannot list them — these are catalogued by hand.

N.D.Checklist

Reproducibility Checklist — Additive manufacturing process monitoring and quality prediction systems

A 23-question checklist for reporting reproducible machine-learning studies in additive manufacturing process monitoring and quality prediction — spanning business understanding, data, modeling, evaluation, and deployment.

PDF →

235 outputs,one lab.

Tri‐WOB: A Bistability‐Driven Variable Stiffness Origami Structure for Soft Robotic Arms

Time-Series Data for Hybrid Energy System Planning with Deep Reinforcement Learning: A Case Study in Ontario

Design for Additive Manufacturing

Harnessing sub-symmetry in Waterbomb origami for soft crawlers: Enabling bi-directional motion and steering

Linking microstructure informatics with characterization knowledge in additively manufactured composites through customized and hybrid vision-language representations for automated qualification

Deep reinforcement learning for joint dispatch of battery storage and gas turbines in renewable-powered microgrids

Machine Learning-Driven Digital Twin Construction for Additive Manufacturing: A Review

Accelerated quantification of reinforcement degradation in additively manufactured Ni-WC metal matrix composites via SEM and vision transformers

Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis

Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification

Developing an interdisciplinary Master’s program in sustainability in engineering and design

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing

Engineering Drawing Information Extraction for the Estimation of Carbon Footprint

From Symmetry to Asymmetry: Design Framework of a Waterbomb Origami Soft Crawler for Linear and Steering Locomotion

A Dynamic Life Cycle Assessment Framework for Gas Turbine Package Components Using Sustainable Materials and Robotic Additive Manufacturing

A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction

Design of a Reconfigurable Crawler based on Waterbomb Origami

Meta-level design parameters for bio-inspired impact resistance: a case study in helmet design

A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing

The Economic Dispatch of Power-to-Gas Systems With Deep Reinforcement Learning: Tackling the Challenge of Delayed Rewards With Long-Term Energy Storage

Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage

A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing

A hybrid deep learning approach for the design of 2D Auxetic Metamaterials

Quantification of metal powder contamination and variation of properties during multi-usage binder jetting process

Human–Artificial Intelligence Teaming for Scientific Information Extraction From Data-Driven Additive Manufacturing Literature Using Large Language Models

A Study of Structured/Semantic Data Extraction from Mechanical Engineering Drawings

Deep reinforcement learning for economic battery dispatch: A comprehensive comparison of algorithms and experiment design choices

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing

Deep Reinforcement Learning for the Joint Dispatch of Battery Energy Storage Systems and Gas Turbines in Microgrids with Renewable Energy

Interface-Stabilized Gel Polymer Electrolyte for High-Performance Lithium Metal Batterie

Small Language Graph: Large-Scale Model Intelligence on a Small GPU

Toward Zero-Shot Generalization of Deep Reinforcement Learning for Hybrid Energy System Dispatch

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability

An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin

Whitepapers & reports

Reproducibility Checklist — Additive manufacturing process monitoring and quality prediction systems

235 outputs,
one lab.