Natalie Wolchover

Senior Writer/Editor

Photo of Cohl Furey
fundamental physics

The Peculiar Math That Could Underlie the Laws of Nature

New findings are fueling an old suspicion that fundamental particles and forces spring from strange eight-part numbers called “octonions.”

Photo of the sun
Abstractions blog

What Is the Sun Made Of and When Will It Die?

If and when physicists are able to pin down the metal content of the sun, that number could upend much of what we thought we knew about the evolution and life span of stars.

Illustration of a galaxy simulation.
cosmology

The Universe Is Not a Simulation, but We Can Now Simulate It

Computer simulations have become so accurate that cosmologists can now use them to study dark matter, supermassive black holes and other mysteries of the real evolving cosmos.

Victoria Meadows in her garden with her cockatoo.
Thinking Places

Victoria Meadows’ Earthly Visions of Alien Life

A living, breathing garden in Seattle serves as the perfect backdrop to an astrobiologist’s search for life on faraway planets.

Photo of inside the MiniBooNE tank
Abstractions blog

Evidence Found for a New Fundamental Particle

An experiment at the Fermi National Accelerator Laboratory near Chicago has detected far more electron neutrinos than predicted — a possible harbinger of a revolutionary new elementary particle called the sterile neutrino, though many physicists remain skeptical.

Crystal diffraction art for "A Chemist Shines Light on a Surprising Prime Number Pattern"
prime numbers

A Chemist Shines Light on a Surprising Prime Number Pattern

When a crystallographer treated prime numbers as a system of particles, the resulting diffraction pattern created a new view of existing conjectures in number theory.

Photo of Large Magellan Cloud rotating clockwise.
Abstractions blog

What Astronomers Are Learning From Gaia’s New Milky Way Map

A roundup of some of the most important discoveries gleaned so far from the Gaia space observatory’s new map of the galaxy.

Gif illustration for "Machine Learning’s ‘Amazing’ Ability to Predict Chaos"
chaos theory

Machine Learning’s ‘Amazing’ Ability to Predict Chaos

In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.

Illustration for "Trouble Detected in Infamous Dark Matter Signal"
dark matter

Trouble Detected in Infamous Dark Matter Signal

Independent scientists have cast serious doubt on a claimed detection of dark matter.

About the author

Natalie Wolchover is a senior writer and editor at Quanta Magazine covering the physical sciences. Previously, she wrote for Popular ScienceLiveScience and other publications. She has a bachelor’s in physics from Tufts University, studied graduate-level physics at the University of California, Berkeley, and co-authored several academic papers in nonlinear optics. Her writing was featured in The Best Writing on Mathematics 2015. She is the winner of the 2016 Excellence in Statistical Reporting Award, the 2016 Evert Clark/Seth Payne Award, and the American Institute of Physics’ 2017 Science Communication Award for Articles.