Machine Learning Helps Create Detailed, Efficient Models of Water
Models use a fraction of the computational cost of today’s best atom-based water models.
Models use a fraction of the computational cost of today’s best atom-based water models.
Following in the footsteps of supernovas, a new approach offers a more natural way to make new extremely heavy elements.
Read more about A Search for New Superheavy IsotopesForest trees around the globe establish symbiotic relationships with different types of microbes depending on how the climate determines the rate of soil organic matter decomposition.
Read more about Trees Consider the Climate When Choosing Their PartnersSupercomputer use offers insights into how to best describe the nature of our universe.
Infusion of a specialized gel throughout a protein structure produces highly expandable crystals that could find use in energy conversion and filtration.
Discovery of novel polymers with extreme stretching, vibration suppression, and self-healing.
New self-supporting composite metal material doubles the volumetric energy and achieves fast charging rates in batteries.
Pairs of sub-atomic particles may catalyze reactions that happened moments after the Big Bang.
Ground water microbes living outside a contaminated area contain mobile genetic elements that provide them resistance to heavy metals.
Supercomputer validates mathematical approach for describing geological features.
Mirrored D shape demonstrates surprisingly high pressures in a tokamak, indicating a shape change may be in order for next-generation fusion reactors.
Thin-walled diamond shells carry payloads of boron dust; the dust mitigates destructive plasma disruptions in fusion confinement systems.