Xun Tang
Optimal feedback controlled assembly of perfect crystals
X Tang, B Rupp, Y Yang, TD Edwards, MA Grover, MA Bevan
ACS nano 10 (7), 6791-6798, 2016
Controlling assembly of colloidal particles into structured objects: Basic strategy and a case study
MA Bevan, DM Ford, MA Grover, B Shapiro, D Maroudas, Y Yang, ...
Journal of Process Control 27, 64-75, 2015
Distinct timescales of RNA regulators enable the construction of a genetic pulse generator
EF A Westbrrok, X Tang, R Marshall, C Maxwell, J Chappell, D Agrawal, M ...
Biotechnology and Bioengineering, 2019
Mathematical modeling of RNA-based architectures for closed loop control of gene expression
DK Agrawal, X Tang, A Westbrook, R Marshall, CS Maxwell, J Lucks, ...
ACS synthetic biology 7 (5), 1219-1228, 2018
Optimal design of a colloidal self-assembly process
Y Xue, DJ Beltran-Villegas, X Tang, MA Bevan, MA Grover
IEEE Transactions on Control Systems Technology 22 (5), 1956-1963, 2014
A comparison of open-loop and closed-loop strategies in colloidal self-assembly
X Tang, J Zhang, MA Bevan, MA Grover
Journal of Process Control 60, 141-151, 2017
The construction and application of Markov state models for colloidal self-assembly process control
X Tang, MA Bevan, MA Grover
Molecular Systems Design & Engineering 2 (1), 78-88, 2017
Optimal feedback control of batch self-assembly processes using dynamic programming
MA Grover, DJ Griffin, X Tang, Y Kim, RW Rousseau
Journal of Process Control 88, 32-42, 2020
Colloidal self-assembly with model predictive control
X Tang, Y Xue, MA Grover
2013 American Control Conference, 4228-4233, 2013
Control of microparticle assembly
X Tang, MA Grover
Annual Review of Control, Robotics, and Autonomous Systems 5, 491-514, 2022
Design and evaluation of synthetic RNA-based incoherent feed-forward loop circuits
S Hong, D Jeong, J Ryan, M Foo, X Tang, J Kim
Biomolecules 11 (8), 1182, 2021
Externally directing self-assembly with dynamic programming
DJ Griffin, X Tang, MA Grover
2016 American Control Conference (ACC), 3086-3091, 2016
Control of self-assembly with dynamic programming
MA Grover, DJ Griffin, X Tang
IFAC-PapersOnLine 52 (1), 1-9, 2019
Grain boundary control in colloidal self-assembly with dynamic programming
X Tang, Y Yang, MA Bevan, MA Grover
2014 American Control Conference, 1120-1125, 2014
Markov decision process based time-varying optimal control for colloidal self-assembly
X Tang, MA Bevan, MA Grover
IFAC-PapersOnLine 49 (7), 430-435, 2016
Convolutional neural network-based colloidal self-assembly state classification
A Lizano, X Tang
Soft Matter 19 (19), 3450-3457, 2023
Negatively Competitive Incoherent Feedforward Loops Mitigate Winner-Take-All Resource Competition
A Stone, J Ryan, X Tang, XJ Tian
ACS synthetic biology 11 (12), 3986-3995, 2022
Model-based investigation of the relationship between regulation level and pulse property of I1-FFL gene circuits
J Ryan, S Hong, M Foo, J Kim, X Tang
ACS synthetic biology 11 (7), 2417-2428, 2022
Stochastic Neural Network-Based Surrogate Model for 2-D Colloidal Self-Assembly.
A Lizano, X Tang
2023 AIChE Annual Meeting, 2023
Model-guided Design of Biological Controller for Septic Wound Healing Regulation
L Green, P Naghshnejad, D Dankwa, X Tang
bioRxiv, 2023.01. 16.523937, 2023
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