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Faint black hole 'ringing' provides a sharper test of Einstein’s gravity

When two black holes crash together, the violence does not end at impact. The newly formed black hole keeps shaking, shedding ...

Ishikawa Diagram Explained: Function, Types, and Applications

Discover how an Ishikawa diagram identifies cause and effect in processes, aiding quality control in manufacturing and ...
IEEE

Work Function Engineering to Improve Data Retention Due to Floating Body in 3-D GAA Stacked Nanosheet Based DRAM

Abstract: Following the pivotal success of 3-D NAND technology, which revolutionized flash memory, DRAM technology could similarly advance by adopting vertical stacking of memory cells, employing gate ...
C&EN

Influence of Surface Roughness on the Work Function of Gold: A Density Functional Theory Study

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
New Scientist

An unorthodox version of quantum theory could reveal what reality is

The implications of quantum mechanics suggest reality isn't as solid as we think it is, but physicist David Bohm had a spin ...
Nature

Do octopus brains work like humans’ — or is there another way to be smart?

Just like vertebrates, cephalopods — such as octopuses and squid — have elaborate brains. Neuroscientists are flocking to them for insights into how intelligence evolved. Three hearts; blue blood; no ...
Bollywood Hungama

Kriti Sanon opens up on success formula: “It’s always a combination of hard work, talent and destiny”

Kriti Sanon has steadily established herself as one of the leading actresses of her generation, thanks to a career marked by versatility, consistency, and smart choices. From winning the National ...
IEEE

Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition

Abstract: In this article, a low-order zeroing neural network (LZNN), a high-order ZNN (HZNN), and a variable-parameter ZNN (VZNN) are designed and applied to the time-changing Cholesky decomposition ...