Researchers are predicting microelectronics performance using physics-informed artificial intelligence.
TITLE: Predicting microelectronics performance with physics-informed artificial intelligence SOURCE: anl.gov DESCRIPTION: <a href="https://news.google.com/rss/articles/CBMisgFBVV95cUxQVEp1NkxxaDBjbWZ2aVljWEZEc0NTZGVhVTR4R21yZmhSZXlPR2lHdGF6WHdTSVRxX2o3cVd5OFZMcG9TMndIZ3R5Z3dTRU1pUUsxclRkcmUzUkx1ZVFkRWhLY1ltSTNfTjNrcVpNV092X0hJZFYzOGtqVG5CNU5YVGRyQnRJZ25mejRHT1BqUkdRQ3Ryd2pxT0N5YjlwV05JNWsyNHFOcWl0Ql8zNmFSVkZR?oc=5" target="_blank">Predicting microelectronics performance with physics-informed artificial intelligence</a> <font color="#6f6f6f">anl.gov</font>
{
"summary": "Researchers are predicting microelectronics performance using physics-informed artificial intelligence.",
"topics": [
"artificial intelligence",
"microelectronics",
"physics"
],
"entities": {
"people": [],
"places": [],
"orgs": [
"anl.gov"
]
},
"dates": [],
"action_items": [],
"sentiment": "neutral",
"category": "reference",
"tags": [
"artificial-intelligence",
"microelectronics",
"physics",
"anl-gov"
],
"title": "Predicting microelectronics performance with physics-informed artificial intelligence",
"url": "https://news.google.com/rss/articles/CBMisgFBVV95cUxQVEp1NkxxaDBjbWZ2aVljWEZEc0NTZGVhVTR4R21yZmhSZXlPR2lHdGF6WHdTSVRxX2o3cVd5OFZMcG9TMndIZ3R5Z3dTRU1pUUsxclRkcmUzUkx1ZVFkRWhLY1ltSTNfTjNrcVpNV092X0hJZFYzOGtqVG5CNU5YVGRyQnRJZ25mejRHT1BqUkdRQ3Ryd2pxT0N5YjlwV05JNWsyNHFOcWl0Ql8zNmFSVkZR?oc=5"
}