The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on ...
Plutonium has captured the attention of scientists since its discovery in the early 1940s. This enigmatic element has an important role to play in emerging energy technologies like nuclear batteries and reactors, but it also ...
Despite being one of the most familiar substances on Earth, water holds many secrets that scientists are still working to understand. When confined to extremely small spaces—such as within certain proteins, minerals, or ...
A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT has done for coders and writers. The new system, called ChatGPT Materials Explorer, or CME, could ...
The discovery of "hidden orders," organization patterns in materials that cannot be detected using conventional measurement tools, can yield valuable insight, which can in turn support the design of new materials with advantageous ...
The collision and merger of two neutron stars—the incredibly dense remnants of collapsed stars—are some of the most energetic events in the universe, producing a variety of signals that can be observed on Earth.
The universe is a slow-changing place. While it's mostly true that the heavens and the deep-sky objects in it will look largely the same across an average human lifetime, there are dramatic examples that defy this trend.
Excitons, bound states between an electron (i.e., a negatively charged particle) and a hole (i.e., the absence of an electron) in materials, are a key focus of condensed matter physics studies. These bound states can give ...
Recent research has found a new way to make graphene that adds structural defects to improve the performance of the material that could have benefits across a range of applications—from sensors and batteries, to electronics.
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.
