Liam Spring Email & Phone Number

United States

• Machine Learning in Composite Design Optimization [General Electric Fellowship Award]
• Proposed and implemented a novel method for composite design optimization by bridging additive manufacturing, machinelearning, and optimization techniques to combat the long-standing inverse design challenge of vast.
• Modeled the composites using SolidWorks and 3D printed them using a Stratasys Objet 350 printer with PolyJet capabilities
• Developed an artificial neural network… Show more Machine Learning in Composite Design Optimization [General Electric Fellowship Award]
• Developed an artificial neural network (ANN) model in Python using TensorFlow to capture the mechanical behavior of compositesusing tensor representation of composites as inputs and mechanical properties obtained from.
• Used the trained model as a surrogate objective function in genetic algorithm (GA) optimization for discovering composites withsuperior mechanical properties

• 3D Printing of Sensor Arrays for Chemical and Biological Agents [NSF-funded]
• Designed and fabricated proof-of-concept high-resolution multi-layer polymeric micro-scaffolds as biosensor bases for pathogentest kits using an advanced custom-made Digital Light Printer (DLP)
• Conducted a DOE and optimized process parameters for improved control on array porosity and spacing to maximize reagentcoating surface area and facilitate substance (analyte) flow for enhanced result… Show more 3D.
• Conducted a DOE and optimized process parameters for improved control on array porosity and spacing to maximize reagentcoating surface area and facilitate substance (analyte) flow for enhanced result accuracy and.
• Expanded the fabrication to multi-material printing of functionally graded structures for embedded electronics and to designswith higher complexities in geometry and material distribution patterns to further increase.
• Optimized print parameters and air jetting time for different scales and various material distribution patterns to obtain higherresolutions of distinct multi-material regions, heavily impacting the performance of the.