Results 141 to 150 of about 178,933 (313)
Molecular dynamics simulation of clustering process from liquid droplet with adiabatic expansion
, 2003 Yusuke Kakinuma +2 more
openalex +4 more sources
Quantum processing by adiabatic transfer through a manifold of dark states [PDF]
, 2012 Santosh Kumar, Deepak Kumar
openalex +1 more source
Comparing exergy and heat pump work in distillation systems
AIChE Journal, EarlyView.Abstract This study compares the exergy supplied to a distillation column with the actual energy consumption of a heat pump‐assisted distillation (HPAD) system. It evaluates the reliability of exergy as a proxy for heat pump work demand in such systems.
Akash Sanjay Nogaja +2 more
wiley +1 more source
Angewandte Chemie, EarlyView.We investigated a unitary quantum‐yield long‐range energy transfer in a novel family of artificial DNA‐guided multichromophoric antenna complexes. We demonstrated that it occurs via a coherent mechanism enabled by the photoexcitation of delocalized higher excited states of the complex, being in this respect an anti‐Kasha process.
Maryam Nazari Haghighi Pashaki +13 more
wiley +2 more sources
Mixed quantum-classical dynamics on the exact time-dependent potential energy surface: a fresh look at non-adiabatic processes [PDF]
, 2013 Federica Agostini +3 more
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Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics
AIChE Journal, EarlyView.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
High temperature and dynamic testing of AHSS for an analytical description of the adiabatic cutting process [PDF]
, 2017 Sven Winter +4 more
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Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.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
Work done on a single-particle gas during an adiabatic compression and expansion process [PDF]
, 2019 Carlos E. Álvarez +2 more
openalex +1 more source