Summer 2022 recommended reading from MIT
Enjoy these recent titles from Institute faculty and staff.
Porosity of the moon’s crust reveals bombardment history
The moon sustained twice as many impacts as can be seen on its surface, scientists find.
Ancient African smelting technique sparks anew at MIT
Building and working a clay-and-grass furnace, teachers and students learn more than how to turn ore into metal.
Physicists see electron whirlpools for the first time
Long predicted but never observed, this fluid-like electron behavior could be leveraged for low-power next-generation electronics.
How a shape-shifting receptor influences cell growth
Insight into the way the EGF receptor sends signals into cells could help researchers design new cancer drugs that target this protein.
3 Questions: Marking the 10th anniversary of the Higgs boson discovery
Christoph Paus, the MIT physicist who co-led the effort to detect the particle, looks ahead to the next 10 years.
Kerry Emanuel: A climate scientist and meteorologist in the eye of the storm
With over 200 published papers, multiple books, and countless media appearances, Emanuel’s 41 years at MIT have been marked by influential research into hurricane formation and climate change outreach.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
MIT-WHOI Joint Program announces new leadership
Ed Boyle to step down as director; Mick Follows will take over the directorship in July.
Three MIT faculty members named 2022 Simons Investigators
Tracy Slatyer, Jesse Thaler, and Wei Zhang are honored for their research, leadership, and mentorship.
Study illuminates trade-off between complex words and complex sentences
A team of cognitive scientists and doctors finds that patients with aphasia use different cognitive tools to compensate for language deficits.
Quantum sensor can detect electromagnetic signals of any frequency
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
New model helps identify mutations that drive cancer
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
Artificial neural networks model face processing in autism
A new computational model could explain differences in recognizing facial emotions.
Evan Leppink: Seeking a way to better stabilize the fusion environment
In a residency supported by the Department of Energy, the MIT PhD candidate will explore the high-field side of the DIII-D tokamak.