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Logan Ward

Argonne National Laboratory

32H指数
674论文数
7.2K被引数
收录论文 48
发表时间
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Will it blend? Achieving rapid, realistic dynamics with on-the-fly control and learning of surrogate models能否融合？通过实时控制和学习代理模型实现快速、真实的动力学
errJournal of Computational Science
IF3.7
err2026-07-29
err0
PREAI
errMichael Tynes; Kyle Chard; Ian Foster; Logan Ward
err分享
err收藏
Navigating the path to autonomy: real-world lessons from an air-free self-driving laboratory自主之路的导航：来自无空气自动驾驶实验室的实际经验
errDigital Discovery
IF5.6
err2026-06-01
err1
PREAI
errRobertson, Lily A.; Shkrob, Ilya A.; Vescovi, Rafael; Ward, Logan; Lewis, Ryan; Paulson, Noah H.; Ginsburg, Tobias; Stone, Casey; Diroll, Benjamin T.; Ferrandon, Magali S.; Zhang, Zhengcheng
err分享
err收藏
A Defect Dataset for Electrode Coating Manufacturing电极涂覆制造缺陷数据集
errScientific Data
IF6.9
err2026-02-14
err0
errOAAI
errVignesh Sampath; Andrew S. Lee; Samuel David Miller; Noah H. Paulson; Yuepeng Zhang; Logan Ward
err分享
err收藏
Object Proxy Patterns for Accelerating Distributed Applications
errIEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
IF6
err2025-02-01
err0
errOAAI
errPauloski, J. Gregory; Hayot-Sasson, Valerie; Ward, Logan; Brace, Alexander; Bauer, Andre; Chard, Kyle; Foster, Ian
err分享
err收藏
Employing artificial intelligence to steer exascale workflows with colmena
errINTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
IF2.5
err2024-10-08
err1
errOAAI
errWard, Logan; Pauloski, J. Gregory; Hayot-Sasson, Valerie; Babuji, Yadu; Brace, Alexander; Chard, Ryan; Chard, Kyle; Thakur, Rajeev; Foster, Ian
err分享
err收藏
Accelerating multiscale electronic stopping power predictions with time-dependent density functional theory and machine learning
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2024-09-12
err0
errOAAI
errWard, Logan; Blaiszik, Ben; Lee, Cheng-Wei; Martin, Troy; Foster, Ian; Schleife, Andre
err分享
err收藏
E min: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2024-02-15
err1
PREAI
errLee, Andrew S.; Elliott, Sarah; Harb, Hassan; Ward, Logan; Foster, Ian; Curtiss, Larry; Assary, Rajeev S.
err分享
err收藏
Reproducibility in materials informatics: lessons from 'A general-purpose machine learning framework for predicting properties of inorganic materials'
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err0
errOAAI
errPersaud, Daniel; Ward, Logan; Hattrick-Simpers, Jason
err分享
err收藏
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
errINTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
IF2.5
err2023-10-27
err20
errOAAI
errZvyagin, Maxim; Brace, Alexander; Hippe, Kyle; Deng, Yuntian; Zhang, Bin; Bohorquez, Cindy Orozco; Clyde, Austin; Kale, Bharat; Perez-Rivera, Danilo; Ma, Heng; Mann, Carla M.; Irvin, Michael; Ozgulbas, Defne G.; Vassilieva, Natalia; Pauloski, James Gregory; Ward, Logan; Hayot-Sasson, Valerie; Emani, Murali; Foreman, Sam; Xie, Zhen; Lin, Diangen; Shukla, Maulik; Nie, Weili; Romero, Josh; Dallago, Christian; Vahdat, Arash; Xiao, Chaowei; Gibbs, Thomas; Foster, Ian; Davis, James J.; Papka, Michael E.; Brettin, Thomas; Stevens, Rick; Anandkumar, Anima; Vishwanath, Venkatram; Ramanathan, Arvind
err分享
err收藏
In-situ TEM investigation of void swelling in nickel under irradiation with analysis aided by computer vision
errACTA MATERIALIA
IF9.3
err2023-08-01
err6
errOAAI
errChen, Wei-Ying; Mei, Zhi-Gang; Ward, Logan; Monsen, Brandon; Wen, Jianguo; Zaluzec, Nestor J.; Yacout, Abdellatif M.; Li, Meimei
err分享
err收藏
Quantifying the performance of machine learning models in materials discovery
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err16
errOAAI
errBorg, Christopher K. H.; Muckley, Eric S.; Nyby, Clara; Saal, James E.; Ward, Logan; Mehta, Apurva; Meredig, Bryce
err分享
err收藏
Principles of the Battery Data Genome (vol 7, pg 238,2023)
errJOULE
IF35.4
err2023-01-01
err0
errOAAI
errWard, Logan; Barbinec, Susan; Dufek, Eric J.; Howey, David A.; Viswanathan, Venkatasubramanian; Aykol, Muratahan; Beck, David A. C.; Blaiszik, Benjamin; Chen, Bor-Rong; Crabtree, George; Clark, Simon; De Angelis, Valerio; Dechent, Philipp; Dubarry, Matthieu; Eggleton, Erica E.; Finegan, Donal P.; Foster, Ian; Gopal, Chirranjeevi Balaji; Herring, Patrick K.; Hu, Victor W.; Paulson, Noah H.; Preger, Yuliya; Uwe-Sauer, Dirk; Smith, Kandler; Snyder, Seth W.; Sripad, Shashank; Tanim, Tanvir R.; Teo, Linnette
err分享
err收藏
Uncovering novel liquid organic hydrogen carriers: a systematic exploration of chemical compound space using cheminformatics and quantum chemical methods
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err7
errOAAI
errHarb, Hassan; Elliott, Sarah N.; Ward, Logan; Foster, Ian T.; Klippenstein, Stephen J.; Curtiss, Larry A.; Assary, Rajeev Surendran
err分享
err收藏
Accelerating the evaluation of crucial descriptors for catalyst screening via message passing neural network
errDIGITAL DISCOVERY
IF5.6
err2023-01-01
err5
errOAAI
errDoan, Hieu A.; Li, Chenyang; Ward, Logan; Zhou, Mingxia; Curtiss, Larry A.; Assary, Rajeev S.
err分享
err收藏
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
errDigital Discovery
IF5.6
err2023-01-01
err55
errOAAI
errJablonka, Kevin Maik; Ai, Qianxiang; Al-Feghali, Alexander; Badhwar, Shruti; Bocarsly, Joshua D.; Bran, Andres M.; Bringuier, Stefan; Brinson, L. Catherine; Choudhary, Kamal; Circi, Defne; Cox, Sam; de Jong, Wibe A.; Evans, Matthew L.; Gastellu, Nicolas; Genzling, Jerome; Gil, Maria Victoria; Gupta, Ankur K.; Hong, Zhi; Imran, Alishba; Kruschwitz, Sabine; Labarre, Anne; Lala, Jakub; Liu, Tao; Ma, Steven; Majumdar, Sauradeep; Merz, Garrett W.; Moitessier, Nicolas; Moubarak, Elias; Mourino, Beatriz; Pelkie, Brenden; Pieler, Michael; Ramos, Mayk Caldas; Rankovic, Bojana; Rodriques, Samuel G.; Sanders, Jacob N.; Schwaller, Philippe; Schwarting, Marcus; Shi, Jiale; Smit, Berend; Smith, Ben E.; Van Herck, Joren; Voelker, Christoph; Ward, Logan; Warren, Sean; Weiser, Benjamin; Zhang, Sylvester; Zhang, Xiaoqi; Zia, Ghezal Ahmad; Scourtas, Aristana; Schmidt, K. J.; Foster, Ian; White, Andrew D.; Blaiszik, Ben
err分享
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Machine learned synthesizability predictions aided by density functional theory
errCOMMUNICATIONS MATERIALS
IF9.6
err2022-10-12
err16
errOAAI
errLee, Andrew; Sarker, Suchismita; Saal, James; Ward, Logan; Borg, Christopher; Mehta, Apurva; Wolverton, Chris
err分享
err收藏
Principles of the Battery Data Genome电池数据基因组的原理
errJOULE
IF35.4
err2022-10-01
err40
errOAAI
errWard, Logan; Babinec, Susan; Dufek, Eric J.; Howey, David A.; Viswanathan, Venkatasubramanian; Aykol, Muratahan; Beck, David A. C.; Blaiszik, Benjamin; Chen, Bor-Rong; Crabtree, George; Clark, Simon; De Angelis, Valerio; Dechent, Philipp; Dubarry, Matthieu; Eggleton, Erica E.; Finegan, Donal P.; Foster, Ian; Gopal, Chirranjeevi Balaji; Herring, Patrick K.; Hu, Victor W.; Paulson, Noah H.; Preger, Yuliya; Uwe-Sauer, Dirk; Smith, Kandler; Snyder, Seth W.; Sripad, Shashank; Tanim, Tanvir R.; Teo, Linnette
err分享
err收藏
A convolutional neural network model for battery capacity fade curve prediction using early life data使用早期寿命数据预测电池容量衰减曲线的卷积神经网络模型
errJOURNAL OF POWER SOURCES
IF7.9
err2022-09-01
err43
PREAI
errSaxena, Saurabh; Ward, Logan; Kubal, Joseph; Lu, Wenquan; Babinec, Susan; Paulson, Noah
err分享
err收藏
Composition-transferable machine learning potential for LiCl-KCl molten salts validated by high-energy x-ray diffraction
errPHYSICAL REVIEW B
IF3.7
err2022-07-22
err12
errOAAI
errGuo, Jicheng; Ward, Logan; Babuji, Yadu; Hoyt, Nathaniel; Williamson, Mark; Foster, Ian; Jackson, Nicholas; Benmore, Chris; Sivaraman, Ganesh
err分享
err收藏
Feature engineering for machine learning enabled early prediction of battery lifetime用于机器学习的特征工程可实现电池寿命的早期预测
errJOURNAL OF POWER SOURCES
IF7.9
err2022-04-01
err68
errOAAI
errPaulson, Noah H.; Kubal, Joseph; Ward, Logan; Saxena, Saurabh; Lu, Wenquan; Babinec, Susan J.
err分享
err收藏

研究方向

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合作期刊
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