Practice Location

3672 MARATHON CIRCLE
AUSTELL, GA 30106

Phone: (770) 944-3303

What does MICHAEL SLUTZKY research?

Dr. Slutzky's research primarily focuses on how materials, particularly soft and dense mixtures, respond to external forces and how these interactions can be harnessed for practical applications. He studies unique phenomena like shear jamming, where liquid-like substances transform into solid-like states upon impact, as well as the behavior of soft viscoelastic materials influenced by gravity. Additionally, he explores advanced techniques for creating soft microfibers and investigates how brain signals can be used to control robotic devices for individuals with amputations or movement disabilities.

Key findings

  • In his 2026 study, Dr. Slutzky found that dense suspensions like cornstarch mixtures cracked in two distinct ways under impact, with less viscous liquids leading to a greater likelihood of failure.
  • His 2024 research identified that the surface patterns of soft materials under gravity could be accurately predicted based on their properties, aiding in the design of flexible surfaces and soft robotics.
  • In a 2019 publication, Dr. Slutzky demonstrated that manipulating flow and light exposure resulted in the production of uniform microfibers with predictable lengths, essential for high-quality materials.
  • The 2018 study revealed that monkeys with amputations learned to control robotic arms via their brain signals, developing coordinated patterns over time, which could enhance rehabilitation for amputees.
  • His 2014 research showed that different brain signal types, such as spikes and local field potentials, improved their coherence as the monkey learned to operate a robot, indicating that combining signals can enhance brain-machine interfaces.

Frequently asked questions

Does Dr. Slutzky study brain-machine interfaces?
Yes, he examines how brain signals can be used to help individuals with movement disabilities control robotic devices.
What materials does Dr. Slutzky research?
He studies soft and dense materials, including how they react under stress, and how to create advanced microfibers.
Is Dr. Slutzky's work relevant to amputees?
Yes, his research aims to improve rehabilitation techniques for amputees using brain-machine interfaces.
What are shear-jammed suspensions?
These are mixtures that behave like liquids but solidify under certain conditions, such as when subjected to sudden impacts.
How does Dr. Slutzky's research benefit engineers?
His findings provide critical insights for designing materials that withstand impacts and crafting soft technologies like flexible surfaces.

Publications in plain English

Fracture and failure of shear-jammed dense suspensions under impact.

2026

Physical review. E

Slutzky M, Pelosse A, van der Naald M, Jaeger HM

Plain English
This study explored how dense mixtures that behave like liquids can turn into solid-like materials when subjected to sudden impacts, a process called shear jamming. Researchers experimented with cornstarch mixtures and found that when a metal rod hit these mixtures at high speeds, cracks formed in two distinct ways, mainly driven by how thick the mixture was and the speed of the impact. They noted that the mixtures were more likely to crack when the liquid surrounding the particles was less viscous, which helped define the conditions under which failure occurred. Who this helps: This information benefits material scientists and engineers who design materials that can withstand impacts, such as in construction or vehicle safety.

PubMed

Rayleigh-Taylor Instability in Soft Viscoelastic Solids.

2024

Langmuir : the ACS journal of surfaces and colloids

Slutzky M, Hwang J, Stone HA, Nunes JK

Plain English
This research explored how certain soft materials react to gravity, creating patterns on their surfaces under specific conditions. The study found that the shape and behavior of these patterns depend on factors like the material's shape and properties, which can be measured and predicted. This information is crucial for designing new products like flexible surfaces and soft robotics. Who this helps: This benefits engineers and designers working with soft materials and technologies.

PubMed

A quantitative study of the effect of flow on the photopolymerization of fibers.

2019

Soft matter

Slutzky M, Stone HA, Nunes JK

Plain English
This study focused on how pulsed UV light affects the creation of soft microfibers from a special liquid that can harden when exposed to light. The researchers found that by manipulating the flow of the liquid and the light exposure, they could make uniform microfibers with predictable lengths. They identified key conditions that lead to successful fiber formation, such as the right balance of chemical concentrations, which is important for producing high-quality materials. Who this helps: This helps manufacturers and researchers in fabricating advanced materials for medical and industrial applications.

PubMed

Emergent coordination underlying learning to reach to grasp with a brain-machine interface.

2018

Journal of neurophysiology

Vaidya M, Balasubramanian K, Southerland J, Badreldin I, Eleryan A +7 more

Plain English
This study focused on teaching monkeys with amputations to control a robotic arm to reach and grasp objects using brain signals from neurons that weren't originally meant for those movements. Over time, the monkeys developed coordinated patterns in their brain activity, showing a strong connection between the neurons involved in reaching and grasping. This is important because it helps us understand how the brain adapts to new ways of moving after a loss, which could improve rehabilitation methods for amputees. Who this helps: This benefits amputees and rehabilitation specialists.

PubMed

Brain machine interfaces: state of the art and challenges to translation.

2015

Neurobiology of disease

Slutzky M

PubMed

Multi-modal decoding: longitudinal coherency changes between spike trains, local field potentials and electrocorticogram signals.

2014

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Balasubramanian K, Takahashi K, Slutzky M, Hatsopoulos NG

Plain English
This study looked at how different types of brain signals—specifically spikes, local field potentials (LFPs), and electrocorticogram (ECoG) signals—work together when a monkey learns to control a robot. Researchers found that as the monkey got better at using the robot, the connection between these signals improved, meaning that one type of signal could help make up for any lost information in another. This is important because it shows that combining different brain signal types can enhance the performance of brain-machine interfaces over time. Who this helps: This helps patients who rely on brain-machine interfaces, particularly those with movement disabilities.

PubMed

Electron-electron scattering in coupled quantum wells.

1996

Physical review. B, Condensed matter

Slutzky M, Entin-Wohlman O, Berk Y, Palevski A, Shtrikman H

PubMed

Frequent Co-Authors

Howard A Stone Janine K Nunes Karthikeyan Balasubramanian Nicholas G Hatsopoulos Alice Pelosse Michael van der Naald Heinrich M Jaeger Jonghyun Hwang Mukta Vaidya Joshua Southerland

Physician data sourced from the NPPES NPI Registry . Publication data from PubMed . Plain-English summaries generated by AI. Not medical advice.