„Bayesian optimization“

Suchergebnisse

1.000+ Treffer

• Simulation optimization for the vehicle routing problem with time windows using a Bayesian network as a probability model
  Pérez-Rodríguez, Ricardo ; Hernández-Aguirre, Arturo
• Data-driven optimization of a gas turbine combustor – A Bayesian approach addressing NOx emissions, lean extinction limits, and thermoacoustic stability
  Reumschüssel, Johann Moritz ; von Saldern, Jakob G. R. ; Ćosić, Bernhard ; Paschereit, Christian Oliver 2025 Universitätsverlag der TU Berlin
• A Bayesian-based two-stage inexact optimization method for supporting stream water quality management in the Three Gorges Reservoir region
  Hu, X. H. ; Li, Y. P. ; Huang, G. H. ; Zhuang, X. W. ; Ding, X. W.
• Accelerated Discovery of Solvation Structure Engineering for Stable Aqueous Rechargeable Zinc Batteries via Physics‐Guided Bayesian Active Learning (Small 23/2025)
  Kim, Minsu ; Lee, Minji ; Choi, Inyoung ; Oh, Jihye ; Paik, Sanga ; Han, Areum ; Lee, Sinae ; Hwang, Hyerim ; Na, Jonggeol ; Nam, Kwan Woo
• Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices (Adv. Mater. 14/2025)
  Serles, Peter ; Yeo, Jinwook ; Haché, Michel ; Demingos, Pedro Guerra ; Kong, Jonathan ; Rietz, Pascal ; Dhulipala, Somayajulu ; Kumral, Boran ; Jia, Katherine ; Yang, Shuo ; Feng, Tianjie ; Jia, Charles ; Ajayan, Pulickel M. ; Portela, Carlos M. ; Wegener, Martin ; Howe, Jane ; Singh, Chandra Veer ; Zou, Yu ; Ryu, Seunghwa ; Filleter, Tobin
• Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations (Adv. Energy Mater. 46/2024)
  Vogler, Monika ; Steensen, Simon Krarup ; Ramírez, Francisco Fernando ; Merker, Leon ; Busk, Jonas ; Carlsson, Johan Martin ; Rieger, Laura Hannemose ; Zhang, Bojing ; Liot, François ; Pizzi, Giovanni ; Hanke, Felix ; Flores, Eibar ; Hajiyani, Hamidreza ; Fuchs, Stefan ; Sanin, Alexey ; Gaberšček, Miran ; Castelli, Ivano Eligio ; Clark, Simon ; Vegge, Tejs ; Bhowmik, Arghya ; Stein, Helge Sören
• Bespoke Metal Nanoparticle Synthesis at Room Temperature and Discovery of Chemical Knowledge on Nanoparticle Growth via Autonomous Experimentations (Adv. Funct. Mater. 27/2024)
  Yoo, Hyuk Jun ; Kim, Nayeon ; Lee, Heeseung ; Kim, Daeho ; Ow, Leslie Tiong Ching ; Nam, Hyobin ; Kim, Chansoo ; Lee, Seung Yong ; Lee, Kwan‐Young ; Kim, Donghun ; Han, Sang Soo
• Estimation of incomplete values in heterogeneous attribute large datasets using discretized Bayesian max–min ant colony optimization
  Rajappan, Sivaraj ; Rangasamy, DeviPriya
• Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids (Adv. Mater. 30/2022)
  Tamasi, Matthew J. ; Patel, Roshan A. ; Borca, Carlos H. ; Kosuri, Shashank ; Mugnier, Heloise ; Upadhya, Rahul ; Murthy, N. Sanjeeva ; Webb, Michael A. ; Gormley, Adam J.
• Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning (Adv. Mater. 3/2022)
  Shin, Dongil ; Cupertino, Andrea ; de Jong, Matthijs H. J. ; Steeneken, Peter ; Bessa, Miguel ; Norte, Richard A.
• Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models
  Lim, Yee-Fun ; Ng, Chee Koon ; Vaitesswar, U.S. ; Hippalgaonkar, Kedar
• Machine Learning‐Guided Modulation of Li + Solvation Structures towards Optimal Electrolyte Systems for High‐Performance Li−O 2 Battery
  Liu, Dapeng ; Fu, Zerui ; Wang, Shu ; Gong, Xiangrui ; You, Tingting ; Yu, Haohan ; Jiang, Ying ; Zhang, Yu
• Machine Learning‐Guided Modulation of Li + Solvation Structures towards Optimal Electrolyte Systems for High‐Performance Li−O 2 Battery
  Liu, Dapeng ; Fu, Zerui ; Wang, Shu ; Gong, Xiangrui ; You, Tingting ; Yu, Haohan ; Jiang, Ying ; Zhang, Yu
• Bayesian optimization algorithms for accelerator physics
  Roussel, Ryan ; Edelen, Auralee L. ; Boltz, Tobias ; Kennedy, Dylan ; Zhang, Zhe ; Ji, Fuhao ; Huang, Xiaobiao ; Ratner, D. ; Santamaría García, Andrea ; Xu, Chenran ; Kaiser, Jan ; Ferran Pousa, Ángel ; Eichler, Annika ; Lübsen, Jannis ; Gao, Yuan ; Kuklev, Nikita ; Martinez, Jose ; Mustapha, Brahim ; Kain, Verena ; Mayes, Christopher ; Lin, Weijian ; Liuzzo, Simone Maria ; St. John, Jason ; Streeter, Matthew ; Lehe, Remi ; Neiswanger, Willie 2024 Technische Universität Hamburg. Universitätsbibliothek
• Accelerating Optimal Synthesis of Atomically Thin MoS 2: A Constrained Bayesian Optimization Guided Brachistochrone Approach
  Wang, Yujia ; Li, Guoyan ; Natarajan, Anand Hari ; Mukerjee, Sanjeev ; Jin, Xiaoning ; Kar, Swastik
• Bayesian Optimization‐guided Discovery of High‐performance Methane Combustion Catalysts based on Multi‐component PtPdCeZrOx Core–Shell Nanospheres
  Feng, Xilan ; Gong, Xiangrui ; Liu, Dapeng ; Li, Yang ; Jiang, Ying ; Zhang, Yu
• Bayesian Optimization‐guided Discovery of High‐performance Methane Combustion Catalysts based on Multi‐component PtPdCeZrOx Core–Shell Nanospheres
  Feng, Xilan ; Gong, Xiangrui ; Liu, Dapeng ; Li, Yang ; Jiang, Ying ; Zhang, Yu
• Bayesian Optimization Driven Cancer Drug Dose-Response Curve Discovery
  Höfer, Hawo H. ; Urrutia Gómez, Joaquín E. ; Popova, Anna A. ; Reischl, Markus
• Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis
  Clayton, Adam D. ; Pyzer‐Knapp, Edward O. ; Purdie, Mark ; Jones, Martin F. ; Barthelme, Alexandre ; Pavey, John ; Kapur, Nikil ; Chamberlain, Thomas W. ; Blacker, A. John ; Bourne, Richard A.
• Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis
  Clayton, Adam D. ; Pyzer‐Knapp, Edward O. ; Purdie, Mark ; Jones, Martin F. ; Barthelme, Alexandre ; Pavey, John ; Kapur, Nikil ; Chamberlain, Thomas W. ; Blacker, A. John ; Bourne, Richard A.