The Journal of Chemical Physics

Filter by Journal:

Scientists Unravel the Mysteries of Polymer Strands in Fuel Cells

WASHINGTON, D.C., October 24, 2018 — Hydrogen fuel cells offer an attractive source of continuous energy for remote applications, from spacecraft to remote weather stations. Fuel cell […]

New Model Helps Define Optimal Temperature and Pressure to Forge Nanoscale Diamonds in an Explosion

WASHINGTON, D.C., October 15, 2018 — Nanodiamonds, bits of crystalline carbon hundreds of thousands of times smaller than a grain of sand, have intriguing surface and chemical […]

New Method Speeds Up Simulations, Giving New Insights into Protein Folding

WASHINGTON, D.C., September 4, 2018 — A protein’s folding patterns help them perform their dedicated tasks. As the real “doers” of the cell, even a tiny alteration […]

Simulating Biomolecules Just Got Faster and More Accurate

WASHINGTON, D.C., August 14, 2018 – Researchers from the University of Florida and the Federal University of Mato Grosso do Sul in Brazil have used state of […]

New Cost-Effective Instrument Measures Molecular Dynamics on a Picosecond Timescale

WASHINGTON, D.C., July 17, 2018 — Studying the photochemistry, or chemical results of light, has shown that ultraviolet radiation can set off harmful chemical reactions in the […]

THz Spectroscopy Could Help Explain Water’s Anomalies

WASHINGTON, D.C., June 27, 2018 — Liquid water sustains life on earth, but its physical properties remain mysterious among scientific researchers. Recently, a team of Swiss researchers […]

Molecular Evolution: How the Building Blocks of Life May Form In Space

WASHINGTON, D.C., April 25, 2018 — In a laboratory experiment that mimics astrophysical conditions, with cryogenic temperatures in an ultrahigh vacuum, scientists used an electron gun to […]

The ‘Missing Link’ in Conducting Molecules, Butadiene — Solved

WASHINGTON, D.C., April 24, 2018 — Linear polyenes are hydrocarbon chains with unusual optical and electrical properties. They have become a paradigm for studying photoisomerization — when […]

Machine Learning Techniques May Reveal Hidden Cause-Effect Relationships in Protein Dynamics Data

WASHINGTON, D.C., April 17, 2018 — Machine learning algorithms excel at finding complex patterns within big data, so researchers often use them to make predictions. Researchers are […]