Kelvin Xie MSEN TAMU
My name is Kelvin Xie, and I am an Associate Professor in the Department of Materials Science and Engineering at the Texas A&M University.
I am using this channel to share some of my teaching materials with students and other researchers interested in microscopy and materials science.
14.1: More on Bloch waves in TEM
41. EELS and dielectric functions
Yilei Zhao - Degradation of thermoplastic polymers for fused filament fabrication under (S)TEM
Jack Summers - In situ mechanical TEM
Chuan-Wen Wang - 4D-STEM nano-scale strain analysis in van de Waals materials
Alec Pfundheller - Characterization of the microstructure of YH3 under proton irradiation
Guotao Wang - Atomic structure of sensitive battery materials and interfaces revealed by cryo-EM
Farhan Zahin - Reducing the effects of radiation damage in cryo-EM using liquid H2 temperatures
Celine Lee - Mesoscopic morphologies in frustrated ABC bottolebrush Block Terpolymers
Eli Norris - Perspective on novel refractory amorphous high-entropy alloys in extreme environments
Milos Dujovic - Observing the crack tip behavior at the nanoscale during fracture of ceramics
16.4: Insight into the structure factor euqation
Kenna Ashen: AlphaFlow: autonomous discovery and optimization of multi-step chemistry...
Derian Morphew: Martensite start temperature prediction through a deep learning strategy using ...
Joydeep Kundu: Deep learning for automated phase segmentation in EBSD maps
Merve Uysal Komurlu: Tribological characteristics of additively manufactured 316 stainless steels...
Marcus Hansen: In-process monitoring of porosity during laser additive manufacturing process
Luke Kruse: Finding the optical properties of plasmonic structures by image processing...
Chase Somodi - Learning physical properties of liquid crystals with deep CNN
Braden Miller - Development of Vickers hardness prediction models via microstructural analysis...
Joydeep Kundu - Data-driven shape memory alloy discovery using artificial intelligence materials...
Merve Uysal Komurlu - Comparative study of four supervised machine learning techniques...
Eli Norris - Simple method to construct process maps for additive manufacturing using a SVM
Merve Uysal Komurlu - Unsupervised analysis of optical imaging data for discovery of reactivity...
Marcus Hansen - Anomaly detection and classification in a laser powder bed additive manufacturing...
Joydeep Kundu - Unsupervised learning-aided extrapolation for accelerated design of superalloys
Maryam Ghotbi - Unsupervised learning implemented by Ti3C2-MXene-based memristive neuromorphic...
Kaiji Zhao - Unsupervised machine learning via transfer learning and K-means clustering...
Darien Morphew - Combinatorial synthesis and high-throughput characterization of microstructure...
Braden Miller - Identifying structural changes with unsupervised machine learning methods