Results 231 to 240 of about 123,056 (357)
Model‐based fault diagnosis in closed‐loop safety‐critical chemical reactors: An experimental study
Abstract This experimental study investigates fault detection and estimation in a continuous stirred‐tank reactor (CSTR) system under closed‐loop feedback control, including an analysis of different manipulative inputs for temperature regulation. A novel fault diagnosis approach is proposed, combining residual signal analysis and T2 statistic for real ...
Pu Du, Benjamin Wilhite, Costas Kravaris
wiley +1 more source
Enhanced Model for the Analysis of Thermoelectric Effects at Nanoscale: Onsager's Method and Liu's Technique in Comparison. [PDF]
Di Domenico M, Sellitto A.
europepmc +1 more source
Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics
Abstract This study presents the development of a computational fluid dynamics model for predicting ultra‐low temperatures (less than −100°C). The frost formation rate was characterized using dimensionless numbers derived from operating conditions. To better capture the underlying physical phenomena of ultra‐low temperature frosting, various physical ...
Joshua Chang Qai Wong+4 more
wiley +1 more source
Scaling Laws in Language Families. [PDF]
Santos MRFD, Gomes MAF.
europepmc +1 more source
Does the Third Law of Thermodynamics Hold in the Quantum Regime? [PDF]
R. F. O’Connell
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Phase transition from melt to most complex liquid crystal (LC) phases is weak 1st order but is preceded by a large heat capacity maximum. In addition, a chiral liquid forms through another transition before that to the LC, despite the compounds being achiral.
Yi‐nan Xue+9 more
wiley +2 more sources
Near-Horizon Carnot Engines Beyond Schwarzschild: Exploring Black Brane Thermodynamics. [PDF]
Mertens L, van Wezel J.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Catalyst screening without catalysis. By combining cyclic voltammetry and DFT calculations we were able to identify a highly active catalyst for the radical arylation of epoxides without performing any reactions. The prevention of chloride binding that leads to catalyst inhibition was established as the key structural feature.
Niklas Schmickler+6 more
wiley +2 more sources