About the CIMPI Laboratory
The Computational Intelligence for Materials and Process Innovation
Laboratory develops mechanistic reduced-order models, artificial
intelligence, and quantum computing algorithms for large-scale
multiphysics problems in advanced materials manufacturing.
Core Research
Research Areas
We integrate advanced intelligent manufacturing, next-generation computational tools, and materials-process co-design to accelerate materials discovery, process optimization, and real-time decision-making.
Manufacturing
Advanced Intelligent Manufacturing
Integrating physics, AI, sensing, and control to create adaptive,
reliable, and autonomous manufacturing systems.
Computation
Next-Generation Computational Tools
Developing GPU-accelerated, AI-enabled, and emerging quantum
computing tools for faster materials modeling, process simulation,
optimization, and discovery.
Materials
Novel Alloy-Process Co-Design
Co-designing alloy composition and manufacturing processes to
achieve targeted microstructures, properties, and performance.
Selected Research
Recent Publications
Preprint
In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach
arXiv preprint arXiv:2604.09889
Journal Article
Cooling rate-dependent phase evolution and mechanical properties in Ti-Mo-Cu alloys
Materials Letters
Journal Article
Physics-guided denoiser network for enhanced additive manufacturing data quality
Journal of Intelligent Manufacturing
Journal Article
Multiscale self-consistent cluster modeling of porosity evolution in additively manufactured metals
Journal of Manufacturing Processes
Latest News
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NSF grants awarded to CIMPI Lab
We will study the low-fidelity sensing for in-process defect characterization in metal additive manufacturing process.
New paper published in Journal of Intelligent Manufacturing
New work investigates physics-guided denoising of additive manufacturing data.
New paper published in Journal of Manufacturing Processes
New work investigates multiscale modeling of defects in additively manufactured metals.
Tiana receives prestigious NSF GRFP award
CIMPI PhD student Tiana Tonge received the prestigious NSF Graduate Research Fellowship Program award. Congratulations!
CIMPI research presented at TMS
Dr. Mojumder presented work on intelligent process fingerprinting for defect mitigation in metal additive manufacturing.
Multimodal learning paper published
New work examines melt pool dynamics in laser powder bed fusion.
New study on incomplete manufacturing data
The team reports imputation methods for advanced manufacturing datasets.
CIMPI research presented at IMECE
Research on additively manufactured composites was presented.
Two new preprints available
New preprints address physics-guided denoising and multimodal learning.
New publication on FFF defects
A multiscale study examines process-induced defects in printed materials.
Research presented at USNCCM 18
Physics-guided denoising research was presented in Chicago.
SUPREME summer research program begins
Students begin mentored projects in computational materials and manufacturing research.
Interested in joining CIMPI?
Learn about doctoral positions, undergraduate research, the SUPREME
summer program, and opportunities for research collaboration.