The Laboratory for Dynamics and Control of Nanosystems (LDCN) is a multi-million dollar state-of-the-art research facility dedicated to the advancement of nanotechnology through innovations in systems theory and control engineering. The main thrust of research in the laboratory is to develop methodologies, technologies, and the necessary instrumentation for fast and accurate interrogation and manipulation of matter at the nanoscale. LDCN's multidisciplinary research team pursues a dynamic and active research program that maintains a solid systems and control focus on a variety of emerging applications in nanotechnology.
We are hosting the Workshop on Atomically Precise Fabrication of Solid-State Quantum Devices on March 20-21, 2020.
Department of Systems Engineering
Erik Jonsson School of Engineering & Computer Science
The University of Texas at Dallas
800 West Campbell Rd, Richardson, TX 75080, USA
Ph: +1 972 883 4158
Dr. Soleymaniha to join Intel
January 16, 2021
Congratulations to Dr. Soleymaniha for joining Intel Corp. We wish him good luck in his new position.
Dr. Mohammad Mahdavi to join Panasonic-North America
November 3, 2020
Congratulations to Dr. Mohammad Mahdavi who will be joining Panasonic-North America next week. We wish him success in his new position.
Reza Moheimani Receives ASME Award
September 9, 2020
Reza Moheimani has been selected as the recipient of this year’s ASME DSCD Charles Stark Draper Innovative Practice Award. He will be presented with the
Quantum Center Seminars Commencing
September 9, 2020
The Center for Atomically Precise Fabrication of Solid-State Quantum Devices seminar series starts on Aug. 10, 2020. Visit the Center webpage for more information: https://centers.utdallas.edu/qdc/
Workshop on Atomically Precise Fabrication of Solid-State Quantum Devices
December 4, 2019
We are hosting the Workshop on Atomically Precise Fabrication of Solid-State Quantum Devices on March 20-21, 2020. This workshop brings together some of the pioneers
Q Control of an Active AFM CantileverWith Differential Sensing Configuration (Journal Article)
IEEE Transactions on Control Systems Technology, 27 (5), pp. 2271 - 2278, 2019.
Scanning Tunneling Microscope Control: A Self-Tuning PI Controller Based on Online Local Barrier Height Estimation (Journal Article)
IEEE Transactions on Control Systems Technology, 27 (5), pp. 2004 - 2015, 2019.
Rosette-scan video-rate atomic force microscopy: Trajectory patterning and control design (Journal Article)
Review of Scientific Instruments, 90 , pp. 073702 (10pp), 2019.
A novel state transformation approach to tracking of piecewise linear trajectories (Journal Article)
IEEE Transactions on Control Systems Technology, 26 (1), pp. 128–138, 2018.
On the effect of local barrier height in scanning tunneling microscopy: Measurement methods and control implications (Journal Article)
Review of Scientific Instruments, 89 (1), pp. 013701, 2018.
On-Chip Dynamic Mode Atomic Force Microscopy: A Silicon-on-Insulator MEMS Approach (Journal Article)
IEEE Journal of Microelectromechanical Systems, 26 (1), pp. 215 - 225, 2017.