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Matthew R. Carbone

Brookhaven National Laboratory

15H指数
90论文数
866被引数
收录论文 25
发表时间
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Autonomous Nanoparticle Synthesis Guided by In Situ Multiscale Structural Characterization
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2025-12-01
err0
PREAI
errKim, Hyeong Jin; Carbone, Matthew R.; Lu, Fang; Qu, Xiaohui; Reyes, Kristofer; Zhang, Honghu; Zhang, Lihua; Gang, Oleg; Zhang, Yugang
err分享
err收藏
Strain release through hydrogen bond–mediated layer twisting通过氢键介导的层扭曲释放应变
errScience Advances
IF12.5
err2025-10-31
err0
PREAI
errQi Zheng; Boyang Li; Sizhan Liu; Chuntian Cao; Jessica M. Rimsza; Qiubo Zhang; Jianming Bai; Chun Chang; Jiawei Wang; Chengyao Liang; Haiyan Mao; Matthew R. Carbone; Deyu Lu; Tatiana Pyatina; Haimei Zheng
err分享
err收藏
Quantifying dispersity in size and shape of nanoparticles from small-angle scattering data using machine learning based CREASE利用基于机器学习的CREASE方法从小角散射数据中量化纳米粒子的尺寸和形状分散性
errJournal of Applied Crystallography
IF2.8
err2025-07-25
err0
PREAI
errRohan S. Adhikari; Sri Vishnuvardhan Reddy Akepati; Matthew R. Carbone; Asritha Polu; Hyeong Jin Kim; Yugang Zhang; Arthi Jayaraman
err分享
err收藏
Machine learning for the advancement of membrane science and technology: A critical review机器学习促进膜科学与技术的发展: 批判性评论
errJOURNAL OF MEMBRANE SCIENCE
IF9
err2025-01-01
err6
errOAAI
errIgnacz, Gergo; Bader, Lana; Beke, Aron K.; Ghunaim, Yasir; Shastry, Tejus; Vovusha, Hakkim; Carbone, Matthew R.; Ghanem, Bernard; Szekely, Gyorgy
err分享
err收藏
Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System
errIEEE ACCESS
IF3.6
err2025-01-01
err0
errOAAI
errLatif, Imran; Newkirk, Alex C.; Carbone, Matthew R.; Munir, Arslan; Lin, Yuewei; Koomey, Jonathan; Yu, Xi; Dong, Zhihua
err分享
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Machine learning-guided discovery of polymer membranes for CO2 separation with genetic algorithm机器学习引导的遗传算法发现用于CO2分离的聚合物膜
errJOURNAL OF MEMBRANE SCIENCE
IF9
err2024-12-01
err3
PREAI
errBasdogan, Yasemin; Pollard, Dylan R.; Shastry, Tejus; Carbone, Matthew R.; Kumar, Sanat K.; Wang, Zhen-Gang
err分享
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Elucidating the Discharge Behavior of Aqueous Zinc Sulfur Batteries in the Presence of Molybdenum(IV) Chalcogenide Catalyst: The Criticality of Interfacial Electrochemistry阐明在钼 (IV) 硫族化物催化剂存在下水性锌硫电池的放电行为: 界面电化学的临界性
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2024-11-22
err0
PREAI
errWang, Zhongling; Kuang, Jason; Rodriguez-Campos, Armando; Cao, Chuntian; Kingan, Arun; Barry, Patrick J.; Hill, Ryan C.; Arnot, David J.; Christianne, Adora; Bock, David C.; Du, Yonghua; Bak, Seong Min; Ma, Lu; Yang, Dali; Tayal, Akhil; Drakopoulos, Michael; Zhong, Zhong; Vo, Nghia T.; Kisslinger, Kim; Tong, Xiao; Takeuchi, Esther S.; Carbone, Matthew R.; Lu, Deyu; Wang, Lei; Yan, Shan; Takeuchi, Kenneth J.; Marschilok, Amy C.
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Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models光谱引导的具有扩散模型的无序材料三维结构的发现
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-11-11
err1
errOAAI
errKwon, Hyuna; Hsu, Tim; Sun, Wenyu; Jeong, Wonseok; Aydin, Fikret; Chapman, James; Chen, Xiao; Lordi, Vincenzo; Carbone, Matthew R.; Lu, Deyu; Zhou, Fei; Pham, Tuan Anh
err分享
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In situ Synchrotron X-ray Metrology Boosted by Automated Data Analysis for Real-time Monitoring of Cathode Calcination
errSMALL METHODS
IF9.1
err2024-09-09
err0
errOAAI
errDongol, Ruhil; Mukherjee, Arpan; Bai, Jianming; van Dam, Hubertus J. J.; Carbone, Matthew R.; Abell, E. Frits; Zhong, Hui; Tayal, Akhil; Ma, Lu; Kahvecioglu, Ozgenur; Pupek, Krzysztof Z.; Lu, Deyu; Rajan, Krishna; Wang, Feng
err分享
err收藏
Atomic insights into the oxidative degradation mechanisms of sulfide solid electrolytes硫化物固体电解质氧化降解机理的原子洞察
errCELL REPORTS PHYSICAL SCIENCE
IF7.3
err2024-04-01
err1
errOAAI
errCao, Chuntian; Carbone, Matthew R.; Komurcuoglu, Cem; Shekhawat, Jagriti S.; Sun, Kerry; Guo, Haoyue; Liu, Sizhan; Chen, Ke; Bak, Seong-Min; Du, Yonghua; Weiland, Conan; Tong, Xiao; Steingart, Daniel A.; Yoo, Shinjae; Artrith, Nongnuch; Urban, Alexander; Lu, Deyu; Wang, Feng
err分享
err收藏
Machine learning-based discovery of molecular descriptors that control polymer gas permeation
errJOURNAL OF MEMBRANE SCIENCE
IF9
err2024-03-01
err3
PREAI
errShastry, Tejus; Basdogan, Yasemin; Wang, Zhen-Gang; Kumar, Sanat K.; Carbone, Matthew R.
err分享
err收藏
Flexible formulation of value for experiment interpretation and design
errMATTER
IF17.5
err2024-02-01
err1
PREAI
errCarbone, Matthew R.; Kim, Hyeong Jin; Fernando, Chandima; Yoo, Shinjae; Olds, Daniel; Joress, Howie; DeCost, Brian; Ravel, Bruce; Zhang, Yugang; Maffettone, Phillip M.
err分享
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Harnessing Neural Networks for Elucidating X-ray Absorption Structure-Spectrum Relationships in Amorphous Carbon
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2023-08-15
err10
errOAAI
errKwon, Hyuna; Sun, Wenyu; Hsu, Tim; Jeong, Wonseok; Aydin, Fikret; Sharma, Shubham; Meng, Fanchen; Carbone, Matthew R.; Chen, Xiao; Lu, Deyu; Wan, Liwen F.; Nielsen, Michael H.; Pham, Tuan Anh
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Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes
errSCIENTIFIC DATA
IF6.9
err2023-06-02
err7
errOAAI
errGuo, Haoyue; Carbone, Matthew R.; Cao, Chuntian; Qu, Jianzhou; Du, Yonghua; Bak, Seong-Min; Weiland, Conan; Wang, Feng; Yoo, Shinjae; Artrith, Nongnuch; Urban, Alexander; Lu, Deyu
err分享
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Decoding structure-spectrum relationships with physically organized latent spaces具有物理组织的潜在空间的解码结构-频谱关系
errPHYSICAL REVIEW MATERIALS
IF3.4
err2023-05-16
err5
errOAAI
errLiang, Zhu; Carbone, Matthew R.; Chen, Wei; Meng, Fanchen; Stavitski, Eli; Lu, Deyu; Hybertsen, Mark S.; Qu, Xiaohui
err分享
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Machine learning the spectral function of a hole in a quantum antiferromagnet
errPHYSICAL REVIEW B
IF3.7
err2023-05-16
err3
errOAAI
errLee, Jackson; Carbone, Matthew R.; Yin, Weiguo
err分享
err收藏
Uncertainty-aware predictions of molecular x-ray absorption spectra using neural network ensembles
errPHYSICAL REVIEW RESEARCH
IF4.2
err2023-03-15
err14
errOAAI
errGhose, Animesh; Segal, Mikhail; Meng, Fanchen; Liang, Zhu; Hybertsen, Mark S.; Qu, Xiaohui; Stavitski, Eli; Yoo, Shinjae; Lu, Deyu; Carbone, Matthew R.
err分享
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When not to use machine learning: A perspective on potential and limitations
errMRS BULLETIN
IF4.9
err2022-10-21
err25
errOAAI
errCarbone, Matthew R.
err分享
err收藏
Machine learning of Kondo physics using variational autoencoders and symbolic regression
errPHYSICAL REVIEW B
IF3.7
err2021-12-06
err13
errOAAI
errMiles, Cole; Carbone, Matthew R.; Sturm, Erica J.; Lu, Deyu; Weichselbaum, Andreas; Barros, Kipton; Konik, Robert M.
err分享
err收藏
Bond-Peierls polaron: Moderate mass enhancement and current-carrying ground state
errPHYSICAL REVIEW B
IF3.7
err2021-10-28
err0
errOAAI
errCarbone, Matthew R.; Millis, Andrew J.; Reichman, David R.; Sous, John
err分享
err收藏

研究方向

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合作学者
合作期刊
Y
Yonghua Du
H 指数: 95 · 论文数: 349
A
Andrew J. Millis
H 指数: 87 · 论文数: 761
J
Junko Yano
H 指数: 84 · 论文数: 520
L
Lu Ma
H 指数: 83 · 论文数: 394
S
Sanat K. Kumar
H 指数: 80 · 论文数: 566
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