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Prof. Carl V Thompson
Stavros V and Matoula S Salapatas Professor of Materials Science and Engineering
Primary DLC
Department of Materials Science and Engineering
MIT Room:
13-5069
(617) 253-7652
cthomp@mit.edu
https://dmse.mit.edu/people/faculty/carl-v-thompson/
Assistant
Ryan Kendall
(617) 258-9790
rkendall@mit.edu
View Feature
Areas of Interest and Expertise
Energy and the Environment
Semiconductors
Device Fabrication
Synthesis and Processing
Research Summary
Professor Carl V. Thompson and his students carry out research on thin films and nanostructures for use in microsystems and nanosystems, especially electronic, electromechanical, and electrochemical systems. All projects focus on kinetic phenomena that control structure evolution and include both experiments and modeling. Research topics include templated solid-state dewetting of thin films and nanostructures for plasmonic and photonic devices, the reliability of GaN-based high electron mobility transistors and light emitting diodes, and interconnected reliability in both 2D and 3D integrated circuits, as well as heterogeneously integrated systems more broadly. Other recent research includes new materials and designs for integrated thin film batteries and morphological stability of single crystal nanowires.
Recent Work
Projects
February 12, 2007
Department of Materials Science and Engineering
Advanced Materials for Micro- and Nano-Systems (AMM&NS)
Principal Investigator
Carl Thompson
Video
11.4.20-MRL-Digital-Welcome-Schuh
November 4, 2020
Conference Video
Duration: 40:31
Show more
Over the past several decades the iterative trial-and-error approach to alloy design has become dramatically ‘digitally enhanced’. Physically-motivated computational models that incorporate thermodynamics, kinetics, and processing pathways can substantially narrow the search for optimum alloy compositions and configurations, while high-throughput experimental methods accelerate iteration. In advanced research areas where the controlling physics are not always known, computation can be augmented with data science and machine learning methods to span vast compositional spaces where few experiments exist. This talk will highlight projects of MIT faculty contributing to the digital transformation of the innovative ‘front-end’ of the metals industry—the design and reduction-to-practice of new alloys.
10.14.20-MRL-After-Moores-Thompson
October 14, 2020
Conference Video
Duration: 16:15
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MIT’s Interdisciplinary Materials Research Laboratory
Related Faculty
Zhichu Ren
Graduate Student
Jessica G Sandland
Principal Lecturer
Prof. Heather N Lechtman
Professor of Archaeology and Ancient Technology, Emerita