Papers citing Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules
Expression Analysis of Ligand-Receptor Pairs Identifies Cell-to-Cell Crosstalk between Macrophages and Tumor Cells in Lung Adenocarcinoma
Journal of Immunology Research · 2022
Xiaodong Yang, Zhao An, Zhengyang Hu, Junjie Xi, Chenyang Dai, Yuming Zhu
Read original paper ↗ ·Machine Learning Guided Discovery of Superoxide Dismutase Nanozymes for Androgenetic Alopecia
Nano Letters · 2022
Chaohui Zhang, Yixin Yu, Shugao Shi, Manman Liang, Dongqin Yang, Ning Sui, William W. Yu, Lina Wang, Zhiling Zhu
Read original paper ↗ ·Direct Freeform Laser Fabrication of 3D Conformable Electronics
Advanced Functional Materials · 2022
Bujingda Zheng, Ganggang Zhao, Zheng Yan, Yunchao Xie, Jian Lin
Read original paper ↗ ·Assessing comparable bioconcentration potentials for nanoparticles in aquatic organisms via combined utilization of machine learning and toxicokinetic models
SmartMat · 2022
Shipeng Dong, Zihao Wu, Mingjie Wang, Xiaoyan Sun, Liang Mao
Read original paper ↗ ·Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Progress in Materials Science · 2022
Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin
Read original paper ↗ ·Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review
Journal of Energy Chemistry · 2022
Vaishali A. Sawant, Rashmi Deshmukh, Chetan J. Awati
Read original paper ↗ ·Explainable machine learning for carbon dioxide adsorption on porous carbon
Journal of environmental chemical engineering · 2022
Chen Xie, Yunchao Xie, Chi Zhang, Hongxing Dong, Long Zhang
Read original paper ↗ ·Improved Machine Learning Models by Data Processing for Predicting Life-Cycle Environmental Impacts of Chemicals
Environmental Science & Technology · 2022
Ye Sun, Xiuheng Wang, Nanqi Ren, Yanbiao Liu, Shijie You
Read original paper ↗ ·Machine-learning reveals the virtual screening strategies of solid hydrogen-bonded oligomeric assemblies for thermo-responsive applications
Chemical Engineering Journal · 2022
Xin Huang, Dong Sheng Lv, Chaoyang Zhang, Xi Yao
Read original paper ↗ ·Machine Learning-Assisted Synthesis of Two-Dimensional Materials
ACS Applied Materials & Interfaces · 2022
Mingying Lu, Haining Ji, Yong Zhao, Yongxing Chen, Jundong Tao, Yangyong Ou, Yi Wang, Yan Hua Huang, Junlong Wang, Guolin Hao
Read original paper ↗ ·A copper-seamed coordination nanocapsule as a semiconductor photocatalyst for molecular oxygen activation
Chemical Science · 2023
Xiangquan Hu, M.K. Han, L Wang, Li Shao, Yadav Peeyush, Jialei Du, Steven P. Kelley, Scott J. Dalgarno, David A. Atwood, Sisi Feng, Jerry L. Atwood
Read original paper ↗ ·A scientific machine learning framework to understand flash graphene synthesis
Digital Discovery · 2023
Kianoosh Sattari, Lucas Eddy, Jacob L. Beckham, Kevin M. Wyss, Richard Byfield, Long Qian, James M. Tour, Jian Lin
Read original paper ↗ ·Bayesian optimization of the composition of the lanthanide metal–organic framework MIL-103 for white-light emission
Molecular Systems Design & Engineering · 2023
Yu Kitamura, Hiroki Toshima, Akihiro Inokuchi, Daisuke Tanaka
Read original paper ↗ ·Data‐Driven Approach for Rational Synthesis of Zeolites and Other Nanoporous Materials
Venue not supplied by source · 2023
Watcharop Chaikittisilp
Read original paper ↗ ·Machine Learning and Digital Manufacturing Approaches for Solid‐State Materials Development
Venue not supplied by source · 2023
Lawson T. Glasby, Emily H. Whaites, Peyman Z. Moghadam
Read original paper ↗ ·Aromatic compounds‐mediated synthesis of anatase‐free hierarchical TS‐1 zeolite: Exploring design strategies via machine learning and enhanced catalytic performance
Aggregate · 2023
Chang‐An Wang, Guoqing An, Jing Lin, Xiaowei Zhang, Zhiyuan Liu, Yibin Luo, Siqi Liu, Zhixiang Cheng, Tingting Guo, Hongyi Gao, Ge Wang, Xingtian Shu
Read original paper ↗ ·Understanding ligand-protected noble metal nanoclusters at work
Nature Reviews Materials · 2023
María Francisca Matus, Hannu Häkkinen
Read original paper ↗ ·Machine learning accelerates the investigation of targeted MOFs: Performance prediction, rational design and intelligent synthesis
Nano Today · 2023
Jing Lin, Zhimeng Liu, Yujie Guo, Shulin Wang, Tao Zhang, Xiangdong Xue, Rushuo Li, Shihao Feng, Linmeng Wang, Jiangtao Liu, Hongyi Gao, Ge Wang, Yanjing Su
Read original paper ↗ ·Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation
Nanomaterials · 2023
Jintao Zhang, Jinchang Yin, Ruiran Lai, Yue Wang, Baorui Mao, Haonan Wu, Li Tian, Yuanzhi Shao
Read original paper ↗ ·Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Coordination Chemistry Reviews · 2023
Hakan Demir, Hilal Daglar, Hasan Can Gülbalkan, Gokhan Onder Aksu, Seda Keskın
Read original paper ↗ ·Machine Learning Models for Inverse Design of the Electrochemical Oxidation Process for Water Purification
Environmental Science & Technology · 2023
Ye Sun, Zhiyuan Zhao, Hailong Tong, Baiming Sun, Yanbiao Liu, Nanqi Ren, Shijie You
Read original paper ↗ ·Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation
Chemical Reviews · 2023
Xiliang Yan, Tongtao Yue, David Alan Winkler, Yongguang Yin, Hao Zhu, Guibin Jiang, Bing Yan
Read original paper ↗ ·Application of Machine Learning in Material Synthesis and Property Prediction
Materials · 2023
Guannan Huang, Yani Guo, Ye Chen, Zhengwei Nie
Read original paper ↗ ·Redox-Controlled Self-Assembly of Vanadium-Seamed Hexameric Pyrogallol[4]Arene Nanocapsules
Journal of the American Chemical Society · 2023
Xiangquan Hu, Wen‐Juan Tian, Yuan Jiao, Steven P. Kelley, Ping Wang, Scott J. Dalgarno, David A. Atwood, Sisi Feng, Jerry L. Atwood
Read original paper ↗ ·The reformation of catalyst: From a trial-and-error synthesis to rational design
Nano Research · 2023
Ligang Wang, Jiabin Wu, Shunwu Wang, Huan Liu, Yao Wang, Dingsheng S. Wang
Read original paper ↗ ·Synthesis Strategy Guided by Decision Tree for Morphology Control of Metal Phosphonates
Inorganic Chemistry · 2023
Kaiqi Guan, Jingxian Wu, Jing Zhou, Yang Li, Lingnan Pei, Xin Shi
Read original paper ↗ ·Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
Journal of Chemical Information and Modeling · 2023
Arsen Sultanov, Jean‐Claude Crivello, Tabea Rebafka, Nataliya Sokolovska
Read original paper ↗ ·Deciphering melting behaviors of energetic compounds using interpretable Machine learning for melt-castable applications
Chemical Engineering Journal · 2023
Peng Chen, Haitao Liu, Yaoyao Linghu, Chaoyang Zhang, Xianfeng Wei, Xin Huang
Read original paper ↗ ·On the use of Machine Learning modeling tools in chemical process and product engineering
Venue not supplied by source · 2023
Cindy Trinh
Read original paper ↗ ·Review of Theoretical and Computational Studies of Bulk and Single Atom Catalysts for H2S Catalytic Conversion
ChemPhysChem · 2023
Yubin Liu, Yuqiong Li, Qi Yu, S. K. Roy, Xiaohu Yu
Read original paper ↗ ·An interpretable and transferrable vision transformer model for rapid materials spectra classification
Digital Discovery · 2023
Zhenru Chen, Yunchao Xie, Yuchao Wu, Yuyi Lin, Shigetaka Tomiya, Jian Lin
Read original paper ↗ ·Advanced machine learning for automated chemical reaction balancing: A systematic review
AIP conference proceedings · 2024
Yasmin Makki Mohialden, Walaa A. Abd Alrada, Nadia Mahmood Hussien
Read original paper ↗ ·Computational chemistry of natural product analogues
Elsevier eBooks · 2024
Sasadhar Majhi, Sivakumar Manickam
Read original paper ↗ ·Machine learning for carbon dot synthesis and applications
Materials Advances · 2024
Ali Nabi Duman, Almaz S. Jalilov
Read original paper ↗ ·Machine learning guided tuning charge distribution by composition in MOFs for oxygen evolution reaction
RSC Advances · 2024
Licheng Yu, Wenwen Zhang, Zhihao Nie, Jingjing Duan, Sheng Chen
Read original paper ↗ ·Machine Learning-Guided Synthesis of Full-Color Carbon Dots
SSRN Electronic Journal · 2024
Kexin Jia, Kaitian Zhao, Hongcan Sun, Shuhong Xu, Chunlei Wang, Ruohu Zhang
Read original paper ↗ ·Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic
Materials Horizons · 2024
Zhenru Chen, Yuchao Wu, Yunchao Xie, Kianoosh Sattari, Jian Lin
Read original paper ↗ ·Predicting success in Cu-catalyzed C–N coupling reactions using data science
Science Advances · 2024
Mohammad H. Samha, Lucas J. Karas, David B. Vogt, Emmanuel C. Odogwu, Jennifer M. Elward, Jennifer M. Crawford, Janelle E. Steves, Matthew S. Sigman
Read original paper ↗ ·Discovery and verification of two-dimensional organic–inorganic hybrid perovskites via diagrammatic machine learning model
Materials & Design · 2024
Qiyuan Zhu, Pengcheng Xu, Tian Lu, Xiaobo Ji, Min Shao, Zhiming Duan, Wencong Lu
Read original paper ↗ ·Perspectives on Development of Optoelectronic Materials in Artificial Intelligence Age
Chemistry - An Asian Journal · 2024
Ting Yuan, Xianzhi Song, Yuxin Shi, Shuyan Wei, Yuyi Han, Linjuan Yang, Yang Zhang, Xiaohong Li, Yunchao Li, Lin Shen, Louzhen Fan
Read original paper ↗ ·Chemical Flexibility of Atomically Precise Metal Clusters
Chemical Reviews · 2024
Si Li, Nana Li, Xi‐Yan Dong, Shuang‐Quan Zang, Thomas C. W. Mak
Read original paper ↗ ·A thermosensitive smart robotic self-powered sensor for material identification
Device · 2024
Arnab Pal, Kee Chin Lim, Shuo-Wen Chen, Yan‐Tsz Huang, Parag Parashar, Anindita Ganguly, Yung-Hsin Chen, Kai‐Po Fan, Li-Chien Shen, Jia Cheng, Zong‐Hong Lin
Read original paper ↗ ·Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews · 2024
Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo‐García, Ella Miray Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth‐Kalthoff, Martin T. Seifrid, Alán Aspuru‐Guzik
Read original paper ↗ ·ROBERT : Bridging the Gap Between Machine Learning and Chemistry
Wiley Interdisciplinary Reviews Computational Molecular Science · 2024
David Dalmau, Juan V. Alegre‐Requena
Read original paper ↗ ·The influence of amphiphilic quaternary ammonium palmitoyl glycol chitosan (GCPQ) polymer composition on oil-loaded nanocapsule architecture
Journal of Colloid and Interface Science · 2024
Francisco Humberto Xavier Júnior, Rui M. Lopes, Ryan D. Mellor, Ijeoma Florence Uchegbu, Andreas G. Schätzlein
Read original paper ↗ ·Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
International Journal of Hydrogen Energy · 2024
Somavia Ameen, Muhammad Umar Farooq, Samia, Sundus Umer, Amna Abrar, Seemab Hussnain, Faiq Saeed, Mazhar Ahmed Memon, Muhammad Ajmal, Muhammad Abdullah Umer, Iftikhar Hussain, Muhammad Bilal Hanif
Read original paper ↗ ·Algorithm-Driven Robotic Discovery of Polyoxometalate-Scaffolding Metal–Organic Frameworks
Journal of the American Chemical Society · 2024
Donglin He, Yibin Jiang, Melanie Guillén‐Soler, Zack Geary, Lucía Vizcaíno‐Anaya, Daniel Salley, M.C. Gimenez-Lopez, De‐Liang Long, Leroy Cronin
Read original paper ↗ ·Machine Learnable Language for the Chemical Space of Nanopores Enables Structure–Property Relationships in Nanoporous 2D Materials
Journal of the American Chemical Society · 2024
Piyush Sindhu Sharma, Sneha Thomas, Mahika Nair, Ananth Govind Rajan
Read original paper ↗ ·Recent advances and various detection strategies of deep eutectic solvents for zinc air batteries
Heliyon · 2024
Fentahun Adamu Getie, Delele Worku Ayele, Nigus Gabbiye Habtu, Temesgen Atnafu Yemata, Fantahun Aklog Yihun, Ababay Ketema Worku, Minbale Admas Teshager
Read original paper ↗ ·Feature mining for thermoelectric materials based on interpretable machine learning
Nanoscale · 2024
Yiyu Liu, Zilong Mu, Peichao Hong, Yun Yang, Changxu Lin
Read original paper ↗ ·