Results 221 to 230 of about 13,368 (281)

A systematic screening of neural network‐based hybrid models of adsorption in chromatography processes

AIChE Journal, EarlyView.
Abstract In this study, various adsorption models using neural networks were developed and integrated into a mechanistic chromatography transport model, resulting in hybrid models. A systematic screening of 10 different hybrid model structures was performed to find the optimal balance between mechanistic and data‐driven components in modeling ...
Jesper Frandsen, Vinicius V. Santana, Peter Jul‐Rasmussen, Idelfonso B.R. Nogueira, Jakob K. Huusom, Krist V. Gernaey, Jens Abildskov   +6 more
wiley   +1 more source

Thermodynamics based modeling of various in-cylinder processes and spark ignition engine cycle with a focus on sub-models assessment. [PDF]

Sci Rep
Chandrakar CK, Varma PS, Mittal M.
europepmc   +1 more source

Promotion of 5‐hydroxymethylfurfural synthesis from glucose over AlCl3 catalyst with choline chloride

AIChE Journal, EarlyView.
Abstract Efficient production of 5‐hydroxymethylfurfural (HMF) from glucose was achieved in a water‐methyl isobutyl ketone biphasic solvent system over AlCl3 catalyst, using a green and cheap choline chloride (ChCl) salt as a promoter. An optimized HMF yield of 67% was obtained from 0.6 M glucose over 0.06 M AlCl3 with 3.8 M ChCl addition at 140°C ...
Chencong Ruan, Hero Jan Heeres, Jun Yue
wiley   +1 more source

Monte Carlo Simulation on Adiabatic Ensembles and a Genetic Algorithm. [PDF]

Entropy (Basel)
Silva Fernandes FMS.
europepmc   +1 more source

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

Dual Effects of Lamb Shift in Quantum Thermodynamical Systems. [PDF]

Entropy (Basel)
Zhang Z, Yu C.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
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

Exploring Ohm's Law: The Randomness of Determinism. [PDF]

Entropy (Basel)
Cuadras A, Cuadras-Alba M, Cuadras-Alba G.   +2 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Landauer's Principle: Past, Present and Future. [PDF]

Entropy (Basel)
Bormashenko E.
europepmc   +1 more source