"Information flow in molecular machines." Physics, Nov 2024.
"SFU Physics collaboration pushes an information engine to its limits." SFU Faculty of Science News, Jun 2024.
"When living cells malfunction, can science help?" SFU Scholarly Impact of the Week, Oct 2023.
"The efficiency of tandem molecular machines." Physics, Apr 2023.
"Mini-engine exploits noise to convert information into fuel." EurekAlert, Nov 2022.
"Information as thermodynamic fuel." Physics, Sep 2022.
"Beyond the transition state." Chemistry World, May 2022.
"Researchers bridge the gap between disciplines to better understand chemical reactions." SFU News, May 2022. Chosen as NSERC Impact Story.
"Whence your microbiome?" SFU Scholarly Impact of the Week, Jul 2022.
"Your microbiome shapes your life. But where did it come from?" Carnegie Science News, Feb 2022.
"New research sheds light on how molecular “machines” work together to speed up transport." EurekAlert, Jan 2022.
"Tuning up Maxwell's demon." PNAS Commentary, Jun 2021.
"World’s fastest information-fuelled engine designed by SFU researchers." SFU News, May 2021.
"Fast and Loose: nanomachines with floppy connections go faster." SFU News, Aug 2020.
"Big energy savings for tiny machines." SFU News, May 2019.
"Nanomachines have all the moves." SFU Faculty of Science News, Nov 2018.
"Revving your nanoscale engine." SFU Faculty of Science News, Nov 2017.
"Study of energy efficiency in proteins leads to new design principle for electronics." SFU News, Nov 2016.
"Pulsing light prompts stem-cell development." SFU University Communications, Sep 2015.
"How stem cells tell signal from noise." Nature Research Highlight, Sep 2015.
"Transcriptional intricacies of stem cells." Cell Systems Preview, Aug 2015.
"Matters of time: Tick tock go the simulations." Biomedical Computation Review, Jun 2013.
"How computers push on the molecules they simulate." LBNL News Center, Jan 2013.
"Nostalgia just became a law of nature." Nautilus, Feb 2015.
"Proteins remember the past to predict the future." Nature News, Nov 2012.
["The cost of useless information."]