Karl A. Hujsak

Reducing Electron Dose and Sample Damage with Bayesian Machine Learning and Self-Organizing Neural Networks

Vinayak P. Dravid, Karl A. Hujsak, Benjamin D. Myers, 2016, Microscopy and Microanalysis.

The effects of chemical fixation on the cellular nanostructure

Xiang Zhou, John E. Chandler, Vadim Backman, 2017, Experimental cell research.

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection

Kai He, Mingyuan Ge, Yue Li, 2017, Scientific Reports.

Micromachined Chip Scale Thermal Sensor for Thermal Imaging.

Karl A. Hujsak, A. Chand, Srinivasan Ramachandran, 2018, ACS nano.

Suppressing Electron Exposure Artifacts: An Electron Scanning Paradigm with Bayesian Machine Learning

Vinayak P. Dravid, Karl A. Hujsak, Benjamin D. Myers, 2016, Microscopy and Microanalysis.

Stage-Rocked Electron Channeling for Crystal Orientation Mapping

Karl A. Hujsak, V. Dravid, K. Hujsak, 2018, Scientific Reports.

AFRL-RX-WP-JA-2018-0103 STAGE-ROCKED ELECTRON CHANNELING FOR RASTERED ORIENTATION MAPPING OF CRYSTALLINE SPECIMENS ( POSTPRINT )

Karl A. Hujsak, V. Dravid, K. Hujsak, 2018 .

Flexible ferroelectric organic crystals

Karl A. Hujsak, J. F. Stoddart, R. Jakubas, 2016, Nature Communications.