Results 151 to 160 of about 365,701 (280)

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

Gaussian Mixture Models Meet Econometric Models

, 2020
Since McFadden linked his logit formulation with random utility theory in the 1970s, discrete choice modelers have been mostly relying on the multinomial logit model (MNL) and its variants due to the connection provided to economic theory. In the last decades, the use of machine learning (ML) methods has grown rapidly in many fields such as mobile/web ...
Sfeir, Georges, Abou-Zeid, Maya, Rodrigues, Filipe, Pereira, Francisco Camara   +3 more
openaire   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Gaussian Mixture Model based pattern recognition for understanding the long-term impact of COVID-19 on energy consumption of public buildings. [PDF]

J Build Eng, 2023
Huang Z, Gou Z.
europepmc   +1 more source

Gaussian Mixture Flow Matching Models

ICML 2025.
Chen, Hansheng, Zhang, Kai, Tan, Hao, Xu, Zexiang, Luan, Fujun, Guibas, Leonidas, Wetzstein, Gordon, Bi, Sai   +7 more
openaire   +2 more sources

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection. [PDF]

Sci Rep
Kumar S, Kumari D, Panwar A, Sagar S, Herout L, Namazi H, Bhati NS.   +6 more
europepmc   +1 more source

Sensor Fusion for Social Navigation on a Mobile Robot Based on Fast Marching Square and Gaussian Mixture Model. [PDF]

Sensors (Basel), 2022
Mora A, Prados A, Mendez A, Barber R, Garrido S.   +4 more
europepmc   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Clustering ensemble method integrating Gaussian mixture model and three-way decision (GMM-3WD-CE). [PDF]

Sci Rep
Ma Y, Li Z.
europepmc   +1 more source