Nanoscience & Instrumentation
Systems and control perspectives applied to atomic force microscopy, optical tweezers, and probe-based interrogation of matter at the small scale.
Overview
The lab has a longstanding interest in nanoscience and nanotechnology, and has enabled new perspectives and methods in this area by leveraging control and systems science frameworks. The experimental setup includes customized atomic force microscopes, in-house-realized optical tweezers for leveraging opto-mechanical effects, and advanced TIRF-based microscopy.
Signature contributions include:
- Systems viewpoints of scanning probe microscopy that revealed new insights into nano-interrogation science.
- A fundamental-limits study achieving 0.25 Ångström resolution, with feedback control maintaining the probe within nanometer scale of the sample for more than 30 minutes.
- Transient Force Atomic Force Microscopy — a new imaging method demonstrating that perceived resolution and bandwidth limitations can be overcome, yielding orders-of-magnitude improvement in detection of features on the material being investigated.
- The first real-time method for determining material properties (elasticity and dissipation) at the nanoscale, compatible with topography imaging for soft matter such as polymers and biomaterials.
- Communication-theoretic models for probe-based data storage with unprecedented areal densities, developed in collaboration with IBM Zurich Research Labs.
- Modern control strategies for nanopositioning enabling high-bandwidth probe-based imaging.
- Optical trap methods that double the force resolution achievable with LMI-based control design, while resolving motor-protein motion to better than 8 nm.
These tools are themselves ongoing areas of research and serve as instrumentation for the group’s systems-biology work.
Recent publications in this area
See all 71 →-
Multiple modes of AFM reveal distinct mechanical properties for dystrophin and utrophin not manifest by small fragments
Hua, Cailong; Vavra, Joseph; Powers, Jacob; Muretta, Joseph M.; Ervasti, James M.; Salapaka, Murti V.
Proceedings of the National Academy of Sciences 123, no. 3 (2026): e2511722123. · 2026
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GenUnfold: Rapidly Predict Protein Mechanical Unfolding Trajectory via a Physics-Guided Diffusion Model
Zhang, Yiyuan; Hua, Cailong; Singh, Vinitendra; Muretta, Joseph M.; Ervasti, James M.; Salapaka, Murti V.
Proceedings of the 43rd International Conference on Machine Learning (ICML), PMLR 306, Seoul, South Korea (2026). · 2026
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Orientation control of optically trapped micro-rods using iterative learning control.
Edlund, Connor, and Murti V. Salapaka.
Optics Express 33.19 (2025): 40191-40207. · 2025
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A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data
Hua, Cailong; Rajaganapathy, Sivaraman; Slick, Rebecca A.; Vavra, Joseph; Muretta, Joseph M.; Ervasti, James M.; Salapaka, Murti V.
Proceedings of Machine Learning Research (PMLR) 267 (2025): 24950–24974. · 2025
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Multimodal regulation of myosin VI ensemble transport by cargo adaptor protein GIPC.
Rai, Ashim, Rachit Shrivastava, Duha Vang, Michael Ritt, Fredrik Sadler, Shreyas Bhaban, Murti Salapaka, and Sivaraj Sivaramakrishnan.
Journal of Biological Chemistry · 2022
Content coming in later sessions
Featured work
Flagship papers in this area. Session 3 (CV import).
Current members
People working in this area. Session 4.
Alumni placements
Where alumni who worked in this area now are. Session 4.
Recent news
Highlights tagged to this area. Session 5.
Facilities used
Equipment and testbeds enabling this area. Session 5.
This lab also works in
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Theoretical Foundations
UmbrellaControl theory, network structure and causal discovery, distributed optimization, nonlinear dynamics, thermodynamics at the small scale.
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Machine Learning
Data-driven modeling with physics priors; RL for grid security; sample-complexity-optimal learning of networks.
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Energy
Distributed control, grid-forming inverters, cyber-secure microgrids, and renewable integration.
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Single-Molecule Biophysics
Motor proteins, cargo transport, force spectroscopy of dystrophin and utrophin, and the biophysics of cellular systems studied one molecule at a time.
Interested in joining this area?
The lab welcomes prospective PhD students and postdocs.
Learn how to join