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检索条件"机构=Chemical and Biomolecular Engineering and Computer Science"
291 条 记 录,以下是1-10 订阅
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Image-based Cutting Tool Health Diagnosis in Multi-machine Settings  6
Image-based Cutting Tool Health Diagnosis in Multi-machine S...
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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024
作者: Mishra, Debasish Pattipati, Krishna R. Bollas, George M. Data Science and Information Systems Krea University 5655 Central Expressway Sri City517646 India Electrical and Computer Engineering University of Connecticut 371 Fairfield Way Storrs06269 United States Chemical and Biomolecular Engineering University of Connecticut 159 Discovery Drive Storrs06269 United States
Manufacturers are increasingly focused on evaluating the condition of cutting tools during machining processes to ensure high-quality production. This study introduces a method for accurately and cost-effectively diag... 详细信息
来源: 评论
Single-shot quantitative phase gradient microscopy using physics-based untrained neural network phase retrieval  11
Single-shot quantitative phase gradient microscopy using phy...
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Quantitative Phase Imaging XI 2025
作者: Hur, Sun Woong Sengupta, Sourya Kwon, Minsung Manoharaan, Revathi Anastasio, Mark Bhargava, Rohit Department of Bioengineering University of Illinois Urbana-ChampaignIL United States Department of Electrical and Computer Engineering University of Illinois Urbana-ChampaignIL United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-ChampaignIL United States Department of Computer Science Carle-Illinois College of Medicine University of Illinois Urbana-ChampaignIL United States Department of Chemical and Biomolecular Engineering Mechanical Science and Engineering and Chemistry Cancer Center at Illinois University of Illinois Urbana-ChampaignIL United States CZ Biohub Chicago LLC IL United States
Single-shot quantitative phase gradient microscopy (ss-QPGM) enables quantitative phase imaging (QPI) based on differential interference contrast (DIC) microscopy. In ss-QPGM, the analyzer is replaced by a quarter-wav... 详细信息
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Image-based Cutting Tool Health Diagnosis in Multi-machine Settings
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Procedia computer science 2025年 253卷 1412-1421页
作者: Debasish Mishra Krishna R. Pattipati George M. Bollas Data Science and Information Systems Krea University 5655 Central Expressway Sri City 517646 India Electrical and Computer Engineering University of Connecticut 371 Fairfield Way Storrs 06269 USA Chemical and Biomolecular Engineering University of Connecticut 159 Discovery Drive Storrs 06269 USA
Manufacturers are increasingly focused on evaluating the condition of cutting tools during machining processes to ensure high-quality production. This study introduces a method for accurately and cost-effectively diag... 详细信息
来源: 评论
Quantum sensing with an off the shelf super resolution microscope  2
Quantum sensing with an off the shelf super resolution micro...
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Quantum Effects and Measurement Techniques in Biology and Biophotonics II
作者: Noh, Sangjun Jiang, Minghao Leon, Jocelyn Hemmer, Philip Burke, Peter J. Department of Electrical Engineering and Computer Science University of California Irvine IrvineCA92697 United States Department of Physics and Astronomy University of California Irvine IrvineCA92697 United States Department of Biomedical Engineering University of California IrvineCA92697 United States Department of Chemical and Biomolecular Engineering University of California IrvineCA92697 United States Department of Materials Science and Engineering University of California IrvineCA92697 United States Department of Electrical and Computer Engineering Texas A&M University College StationTX77843-3128 United States
In this paper we present a simple method to demonstrate quantum sensing of magnetic fields with nitrogen vacancy centers in diamond using an off the shelf, commercial confocal and super resolution (Airyscan) microscop... 详细信息
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Porous silicon on paper sensors: Factors affecting biosensing performance  17
Porous silicon on paper sensors: Factors affecting biosensin...
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Frontiers in Biological Detection: From Nanosensors to Systems XVII 2025
作者: An, Huijin Laibinis, Paul E. Locke, Andrea K. Weiss, Sharon M. Interdisciplinary Material Science Program Vanderbilt University NashvilleTN37235 United States Department of Electrical and Computer Engineering Vanderbilt University NashvilleTN37235 United States Department of Chemical and Biomolecular Engineering Vanderbilt University NashvilleTN37235 United States Department of Chemistry Vanderbilt University NashvilleTN37235 United States Department of Biomedical Engineering Vanderbilt University NashvilleTN37235 United States
A paper-based biosensor integrating a functionalized porous silicon (PSi) membrane as the active sensing element for quantifiable protein detection has been developed. For similar short-time exposures to an analyte, i... 详细信息
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EasyDIVER + : An Advanced Tool for Analyzing High Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Amino Acids
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Journal of molecular evolution 2025年 第2期93卷 2025 Apr 5页
作者: Celia Blanco Allison Tee Pramesh Sharma Matilda S Newton Kun-Hwa Lee Samuel E Erickson Burckhard Seelig Irene A Chen Blue Marble Space Institute of Science 600 1st Avenue 1st Floor Seattle WA USA. celia.blanco@***. Department of Chemical and Biomolecular Engineering University of California Los Angeles CA USA. celia.blanco@***. Blue Marble Space Institute of Science 600 1st Avenue 1st Floor Seattle WA USA. Department of Computer Science Stanford University Stanford CA USA. College of Engineering University of California Davis CA USA. Department of Biochemistry Molecular Biology and Biophysics University of Minnesota Minneapolis MN USA. BioTechnology Institute University of Minnesota St. Paul MN USA. Royal Society of New Zealand Wellington New Zealand. Department of Chemical and Biomolecular Engineering University of California Los Angeles CA USA.
In vitro evolution is a powerful technique for identifying functional nucleic acids and peptides, but the analysis of the resulting high-throughput sequencing data poses significant challenges, particularly in peptide... 详细信息
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Intermittently Dynamic Fuzzy Learning-Based Tracking Control of Amplitude Signals for Vibratory Gyroscopes With Composite Identification
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IEEE Transactions on Instrumentation and Measurement 2025年 74卷
作者: Xu, Zeyuan Ge, Shuzhi Sam Liu, Weihao Yi, Guoxing Xie, Zhongliang Li, Kuo National University of Singapore Department of Chemical and Biomolecular Engineering Queenstown 117585 Singapore University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia27100 Italy National University of Singapore Department of Electrical and Computer Engineering Queenstown 119077 Singapore Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Northwestern Polytechnical University Department of Engineering Mechanics Xi’an710072 China Yanshan University School of Electrical Engineering Qinhuangdao066004 China
This article investigates an intermittently dynamic fuzzy learning-based tracking control (IDFL-TC) method of amplitude signals for vibratory gyroscopes. Compared with learning-based TC (L-TC) and fuzzy L-TC (FL-TC) m... 详细信息
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Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis
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computers in Biology and Medicine 2025年 186卷 109681-109681页
作者: Torok, Rebeka Meszaros, Brigitta Gombas, Veronika Vathy-Fogarassy, Agnes Szabo, Miklos Csanky, Eszter Jarvas, Gabor Guttman, Andras Research Institute of Biomolecular and Chemical Engineering University of Pannonia Veszprem Hungary Horváth Csaba Memorial Laboratory of Bioseparation Sciences Research Center for Molecular Medicine Doctoral School of Molecular Medicine Faculty of Medicine University of Debrecen Debrecen Hungary Department of Computer Science and Systems Technology University of Pannonia Veszprem Hungary Department of Pulmonology Borsod Academic County Hospital Miskolc Hungary
An efficient novel approach is introduced to predict the effectiveness of chemotherapy treatment in lung cancer by monitoring the serum N-glycome of patients combined with artificial intelligence-based data analysis. ... 详细信息
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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)
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MRS Bulletin 2025年 1-2页
作者: Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater
This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, Th...
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Foundation Models for Atomistic Simulation of Chemistry and Materials
arXiv
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arXiv 2025年
作者: Yuan, Eric C.-Y. Liu, Yunsheng Chen, Junmin Zhong, Peichen Raja, Sanjeev Kreiman, Tobias Vargas, Santiago Xu, Wenbin Head-Gordon, Martin Yang, Chao Blau, Samuel M. Cheng, Bingqing Krishnapriyan, Aditi Head-Gordon, Teresa Kenneth S. Pitzer Theory Center Department of Chemistry United States Department of Chemical and Biomolecular Engineering United States Electrical Engineering and Computer Science United States Bakar Institute of Digital Materials for the Planet University of California BerkeleyCA94720 United States Chemical Sciences Division United States Applied Mathematics and Computational Research Division United States Energy Technologies Area United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA94720 United States
Given the power of large language and large vision models, it is of profound and fundamental interest to ask if a foundational model based on data and parameter scaling laws and pre-training strategies is possible for...
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