Adam Malecek

latest from Adam Malecek

AI and Machine Learning

Machine learning tool accelerates polymer discovery

AI and Machine Learning

Researcher improving safety for autonomous systems

Courtesy: Michael Wehner, University of Wisconsin-Madison

Sensing method developed for soft robots

A gyroid lattice created by Professor Roderic Lakes using 3D printing. Courtesy: Roderic Lakes, University of Wisconsin-Madison

Process Instrumentation and Sensors

Squeeze-twist coupling material strengthens actuators

Graduate student Stephen Sakai uses an instrument in the Engine Research Center at UW-Madison to measure the filtration efficiency of different candidate materials for face masks. Courtesy: UW-Madison

Engine emission researchers retool to identify effective N95 mask alternatives

This graphic illustrates how an applied magnetic field (blue) can cause magnetized particles embedded in a soft material to rearrange themselves into new patterns. By harnessing this phenomenon, researchers can fine-tune the soft material’s properties. Courtesy: Xin Zou/Grainger Institute for Engineering, University of Wisconsin

Researchers use magnetic fields to control soft robotics

University of Wisconsin assistant professor Xiangru Xu believes the trend of autonomous systems will continue growing rapidly. Courtesy: University of Wisconsin

AI and Machine Learning

Researchers making autonomous systems safer for challenging applications

Arrielle Opotowsky, a PhD student in nuclear engineering and engineering physics at UW-Madison, is researching machine learning methods that could allow us to quickly determine where a nuclear material came from based on measurements of that material. Courtesy: Sarah Page, University of Wisconsin-Madison

Strengthening nuclear security with computational tools