Results 151 to 160 of about 846,838 (328)

Monte Carlo experiments of market demand theory

, 2018
This study investigated the present theory for market demand and discussed the limitations and restrictions of theory from an empirical perspective. The objective of the study was to set up a Monte Carlo model to analyze the relationship between consumer demand and market demand and investigate the market approximation characteristics in light of ...
openaire   +3 more sources

Using Dopants as Agents to Probe Key Electronic Properties of Organic Semiconductors

Advanced Electronic Materials, EarlyView.
Dopants are typically used in organic electronics to enhance conductivity, but here their potential is demonstrated as probes for fundamental material properties. By integrating experimental data and multiscale simulations, it is shown how dopant ionization and conductivity measurements enable accurate extraction of ionization potential and Coulomb ...
Artem Fediai, Franz Symalla, Tobias Neumann, Wolfgang Wenzel   +3 more
wiley   +1 more source

Heterogeneous Integration of Flipped Oxide Heterostructure Membranes for Nanoelectronics

Advanced Electronic Materials, EarlyView.
A flipped electronically reconfigurable STO/LAO freestanding membrane is demonstrated and integrated with various host platforms via controlled transfer. Using ultra‐low‐voltage electron‐beam lithography, conductive nanostructures are created at the buried STO/LAO interface. This novel approach enables heterogeneous integration of flipped complex oxide
Ruiqi Sun, Ahmed Omran, Muqing Yu, Kyoungjun Lee, Keeyong Lee, Soli Sung, Sangho Oh, Patrick irvin, Jeremy Levy, Chang‐Beom Eom   +9 more
wiley   +1 more source

Insights on SEI Growth and Properties in Na‐Ion Batteries via Physically Driven Kinetic Monte Carlo Model

Advanced Energy Materials, EarlyView.
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins, Miftahussurur Hamidi Putra, Janika Wagner‐Henke, Axel Groß, Ulrike Krewer   +4 more
wiley   +1 more source

Mechanistic Considerations for Battery Charging Protocol Design

Advanced Energy Materials, EarlyView.
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li, Ayrton Yanyachi, Junyi Xia, Saravana Kuppan, Jigang Zhou, Yixian Wang, Yanfei Li, Piero Pianetta, Kejie Zhao, David Mitlin, Ofodike Ezekoye, Jie Xiao, Junmin Wang, Yijin Liu   +13 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Some Monte Carlo experiments in computing multiple integrals [PDF]

Mathematics of Computation, 1956
Davis, P., Rabinowitz, P.
openaire   +2 more sources

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

A critical review of porous adsorbents for air separation: From fundamental insights to rational adsorbent design

AIChE Journal, EarlyView.
Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang, Daisong Chen, Tianyi Zhang, Boyu Zhang, Ruiqiang Wang, Zhengdong Liu, Mei Hong, Youssef Belmabkhout, Qinfen Gu, Jin Shang   +9 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source