Papers citing Machine learning-guided synthesis of advanced inorganic materials
Machine learning guided hydrothermal synthesis of thermochromic VO2 nanoparticles
Ceramics International · 2023-07-06
Yongxing Chen, Haining Ji, Mingying Lu, Bin Liu, Yong Zhao, Yangyong Ou, Yi Wang, Jundong Tao, Ting Zou, Yan Hua Huang, Junlong Wang
Read original paper ↗ ·Machine Learning-Assisted Large-Area Preparation of MoS2 Materials
Nanomaterials · 2023-08-09
Jingting Wang, Mingying Lu, Yongxing Chen, Guolin Hao, Bin Liu, Pinghua Tang, Lian Yu, Wen Lei, Haining Ji
Read original paper ↗ ·Phyllosilicates as earth-abundant layered materials for electronics and optoelectronics: Prospects and challenges in their ultrathin limit
Journal of Applied Physics · 2023-09-06
Ingrid D. Barcelos, Raphaela de Oliveira, Gabriel Ravanhani Schleder, Matheus J. S. Matos, Raphael Longuinhos, Jenaina Ribeiro‐Soares, Ana Paula Moreira Barboza, Mariana C. Prado, Elisângela Silva Pinto, Y. Galvão Gobato, Hélio Chacham, Bernardo R. A. Neves, Alisson Ronieri Cadore
Read original paper ↗ ·Development of chemistry-informed interpretable model for predicting compressive strength of recycled aggregate concrete containing supplementary cementitious materials
Journal of Cleaner Production · 2023-09-08
Yingli Gao, Zhengkang Li, Yuelin Li, Zhanghuang Zhu, Juncai Zhu
Read original paper ↗ ·Prospective on methods of design of experiments for limited data scenarios in materials design and engineering
MRS Communications · 2023-09-13
Emily Margaret Ryan, Athar Roshandelpoor, Zoe A. Pollard, Jillian L. Goldfarb, Pirooz Vakili
Read original paper ↗ ·The reformation of catalyst: From a trial-and-error synthesis to rational design
Nano Research · 2023-09-27
Ligang Wang, Jiabin Wu, Shunwu Wang, Huan Liu, Yao Wang, Dingsheng S. Wang
Read original paper ↗ ·Scientific Computing with Diffractive Optical Neural Networks
Advanced Intelligent Systems · 2023-10-08
Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao
Read original paper ↗ ·Data-Driven Predetermination of Cu Oxidation State in Copper Nanoparticles: Application to the Synthesis by Laser Ablation in Liquid
Journal of the American Chemical Society · 2023-10-31
Runpeng Miao, Michael Bissoli, Andrea Basagni, Ester Marotta, Stefano Corni, Vincenzo Amendola
Read original paper ↗ ·Synthesis and Phase Engineering of Low‐Dimensional TMDs and Related Material Structures
Unknown journal · 2023-11-10
Bijun Tang, Jiefu Yang, Zheng Liu
Read original paper ↗ ·Addressing the Trade-Off between Crystallinity and Yield in Single-Walled Carbon Nanotube Forest Synthesis Using Machine Learning
ACS Nano · 2023-11-15
Dewu Lin, Shun Muroga, Hiroe Kimura, Hirokuni Jintoku, Takashi Tsuji, Kenji Hata, Guohai Chen, Don Norimi Futaba
Read original paper ↗ ·Prediction of Quantum Yields of Monolayer WS2 by Machine Learning
Advanced Optical Materials · 2023-11-22
Jolene W. P. Khor, Trang Thu Tran, Anir S. Sharbirin, Sammy X. B. Yap, Hyunseung Choo, Jeongyong Kim
Read original paper ↗ ·Intelligent design and synthesis of energy catalytic materials
Fundamental Research · 2023-12-10
Linkai Han, Zhonghua Xiang
Read original paper ↗ ·Machine learning-driven approaches for synthesizing carbon dots and their applications in photoelectrochemical sensors
Inorganic Chemistry Communications · 2023-12-11
Roya Mohammadzadeh Kakhki, Mojtaba Mohammadpoor
Read original paper ↗ ·Machine learning assisted layer-controlled synthesis of MoS 2
Journal of Materials Chemistry C · 2024-01-01
Mingying Lu, Haining Ji, Yongxing Chen, Fenglin Gao, Bin Liu, Long Peng, Cong Deng, Yi Wang, Jundong Tao
Read original paper ↗ ·Machine learning for carbon dot synthesis and applications
Materials Advances · 2024-01-01
Ali Nabi Duman, Almaz S. Jalilov
Read original paper ↗ ·Machine Learning-Guided Synthesis of Full-Color Carbon Dots
SSRN Electronic Journal · 2024-01-01
Kexin Jia, Kaitian Zhao, Hongcan Sun, Shuhong Xu, Chunlei Wang, Ruohu Zhang
Read original paper ↗ ·Quantitative analysis of MoS2 thin film micrographs with machine learning
Materials Characterization · 2024-01-29
Isaiah A. Moses, Wesley F. Reinhart
Read original paper ↗ ·Perspectives on Development of Optoelectronic Materials in Artificial Intelligence Age
Chemistry - An Asian Journal · 2024-02-07
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 ↗ ·Toward Controlled Synthesis of 2D Crystals by CVD: Learning from the Real-Time Crystal Morphology Evolutions
Nano Letters · 2024-02-13
Jing Zhang, Tianshu Zhai, Faizal Arifurrahman, Yuguo Wang, Andrew Hitt, Zelai He, Qing Ai, Yifeng Liu, Chen-yang Lin, Yifan Zhu, Ming Y. Tang, Jun Lou
Read original paper ↗ ·Carbon Dots and Their Polymeric Nanocomposites: Insight into Their Synthesis, Photoluminescence Mechanisms, and Recent Trends in Sensing Applications
ACS Omega · 2024-02-26
Dilip Kumar Kar, V Praveenkumar, Satyabrata Si, Harekrishna Panigrahi, Smrutirekha Mishra
Read original paper ↗ ·Machine Learning-Guided Synthesis of Room-Temperature Phosphorescent Carbon Dots for Enhanced Phosphorescence Lifetime and Information Encryption
ACS Applied Nano Materials · 2024-02-28
Diva Addini Maghribi Muyassiroh, Fitri Aulia Permatasari, Tomoyuki Hirano, Takashi Ogi, Ferry Iskandar
Read original paper ↗ ·Development of single-phase BCC refractory high entropy alloys using machine learning techniques
Computational Materials Science · 2024-03-07
Lakkanaboina Venkata Naveen, Priyanka Umre, Poulami Chakraborty, M.R. Rahul, Sumanta Samal, Raghvendra Tewari
Read original paper ↗ ·Active Learning-Based Guided Synthesis of Engineered Biochar for CO 2 Capture
Environmental Science & Technology · 2024-03-18
Xiangzhou Yuan, Manu Suvarna, Juin Yau Lim, Javier Pérez‐Ramírez, Xiaonan Wang, Yong Sik Ok
Read original paper ↗ ·Graph representation of multi-dimensional materials
Journal of Physics Materials · 2024-04-01
Carina T Cai, Amanda J. Parker, Amanda Susan Barnard
Read original paper ↗ ·Deciphering N-Doped Biochar Design for Non-Radical Pathways through Hierarchical Machine Learning
ACS ES&T Engineering · 2024-04-03
Rupeng Wang, Zixiang He, Honglin Chen, Ke Wang, Shiyu Zhang, Nanqi Ren, Shih‐Hsin Ho
Read original paper ↗ ·Machine learning assists the sensor array constructed by the tri-emission carbon dots to detect multiple metal ions
Microchemical Journal · 2024-04-11
Yaoyao Tang, Peide Zhu, Quan Xu, Juncheng Wang
Read original paper ↗ ·Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
Knowledge-Based Systems · 2024-04-22
Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan
Read original paper ↗ ·Machine learning for persistent free radicals in biochar: dual prediction of contents and types using regression and classification models
Carbon Research · 2024-04-22
Junaid Latif, Na Chen, Azka Saleem, Kai Li, Jianjun Qin, Huiqiang Yang, Hanzhong Jia
Read original paper ↗ ·Data-guided for discovering high-strength, cost-effective, and low-carbon rice husk ash concrete
Journal of CO2 Utilization · 2024-05-01
Zhengkang Li, Yingli Gao, Zhanghuang Zhu, Weiwei Tian
Read original paper ↗ ·Optimizing MOF properties for seasonal heat storage: a machine learning approach
Journal of Physics Conference Series · 2024-05-01
Giovanni Trezza, Luca Bergamasco, M Fasano, Eliodoro Chiavazzo
Read original paper ↗ ·Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning
Materials Science and Engineering R Reports · 2024-05-07
Tarek Lemaoui, Tarek Eid, Ahmad S. Darwish, Hassan A. Arafat, FAWZI A. BANAT, Inas Muen AlNashef
Read original paper ↗ ·Unveiling Stability Factors in Sn(II)-Containing Oxides: Discovery of a Polar Tin Titanate and Photocatalytic Activity for Overall Water Splitting
Chemistry of Materials · 2024-05-20
Eric A. Gabilondo, Shaun O’Donnell, Subhendu Jana, Rachel Broughton, Mingli Liang, Aylin Koldemir, Jack Reichling, Carson Campbell, P. Shiv Halasyamani, Rainer Pöttgen, Jacob L. Jones, Paul A. Maggard
Read original paper ↗ ·Customizable anisotropic microlattices for additive manufacturing: Machine learning accelerated design, mechanical properties and structural-property relationships
Additive manufacturing · 2024-06-01
Xinwei Li, Pan Wang, Miao Zhao, Xinran Su, Yong Hao Tan, Jun Ding
Read original paper ↗ ·Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots
Nature Communications · 2024-06-06
Huazhang Guo, Yuhao Lu, Zhendong Lei, Hong Bao, Mingwan Zhang, Zeming Wang, Cuntai Guan, Bijun Tang, Zheng Liu, Liang Frank Wang
Read original paper ↗ ·Preparation of Thermochromic Vanadium Dioxide Films Assisted by Machine Learning
Nanomaterials · 2024-07-06
Gaoyang Xiong, Haining Ji, Yongxing Chen, Bin Liu, Yi Wang, Long Peng, Jinfang Zeng, Jundong Tao, Cong Deng
Read original paper ↗ ·Machine Learning Driven Atom‐Thin Materials for Fragrance Sensing
Small · 2024-07-07
Juanjuan Liu, Ruijia Sun, Xuan Bao, Jiefu Yang, Yanling Chen, Bijun Tang, Zheng Liu
Read original paper ↗ ·Bright and photostable MHA derived “luminous pearls” for multi-color bioimaging: An eco-sustainable cradle-to-gate approach guided by GRA coupled ANN
Chemical Engineering Journal · 2024-07-17
Priyanka Dash, Suvranshu Pattanayak, Sayantan Ghosh, Nihar Ranjan Das, Pramod Bhakuni, Sudipto Roy Barman, Bismita Nayak
Read original paper ↗ ·Janus Halogenated Silicene for Photocatalytic and Photovoltaic Applications: A Machine Learning Combined with First-Principles Study
The Journal of Physical Chemistry C · 2024-08-19
Wei Hong, Jianmei Yuan, Yuliang Mao
Read original paper ↗ ·Progress and prospects of Moiré superlattices in twisted TMD heterostructures
Nano Research · 2024-09-05
Syed Jamal Shah, Junying Chen, Xing Xie, Xinyu Oyang, Fangping Ouyang, Zongwen Liu, Jian-Tao Wang, Jun He, Yanping Liu
Read original paper ↗ ·Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment
Nano Research · 2024-09-07
Yaoyao Tang, Quan Xu, Xinyao Zhang, Rongye Zhu, Nuo Zhao, Juncheng Wang
Read original paper ↗ ·Bayesian Optimization for Controlled Chemical Vapor Deposition Growth of WS2
ACS Applied Materials & Interfaces · 2024-10-15
Feng Zhang, Ryo Tamura, Fanyu Zeng, Daichi Kozawa, Ryo Kitaura
Read original paper ↗ ·Accelerating Optimal Synthesis of Atomically Thin MoS 2 : A Constrained Bayesian Optimization Guided Brachistochrone Approach
Advanced Materials Technologies · 2024-10-17
Yujia Wang, Guoyan Li, Anand Hari Natarajan, Sanjeev Mukerjee, Xiaoning Jin, Swastik Kar
Read original paper ↗ ·Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Nanomaterials · 2024-10-22
Guohai Chen, Dai‐Ming Tang
Read original paper ↗ ·Machine Learning for Optical Anisotropy Identification of Few-Layer Black Phosphorus Based on Polarized Microscopic Images
ACS Applied Nano Materials · 2024-11-15
Zhihong Jewel Hu, Wei Chen, Hui Qiao, Zongyu Huang, Xiang Qi
Read original paper ↗ ·Controlled growth of high-quality SnSe nanoplates assisted by machine learning
Journal of Materials Chemistry A · 2024-11-25
Huijia Luo, Wenwu Pan, Junliang Liu, Han Wang, Songqing Zhang, Yongling Ren, Cailei Yuan, Wen Lei
Read original paper ↗ ·Transfer learning for multi-material classification of transition metal dichalcogenides with atomic force microscopy
Machine Learning Science and Technology · 2024-12-01
Isaiah A. Moses, Wesley F. Reinhart
Read original paper ↗ ·Applications of Machine Learning Predictive Modeling for Carbon Quantum Dots
Challenges and advances in computational chemistry and physics · 2025-01-01
Maryam Salahinejad, Ali Roozbahani
Read original paper ↗ ·Cross-laboratory validation of machine learning models for copper nanocluster synthesis using cloud-based automated platforms
Digital Discovery · 2025-01-01
Ricardo Montoya-Gonzalez, Rosa de Guadalupe González-Huerta, Martha Leticia Hernandez-Pichardo, Subha Ranjan Das
Read original paper ↗ ·Machine learning-assisted carbon dots synthesis and analysis: State of the art and future directions
TrAC Trends in Analytical Chemistry · 2025-01-10
Fanyong Yan, Ruixue Bai, Juanru Huang, Xihui Bian, Yang Fu
Read original paper ↗ ·Predicting the magnetic properties of Fe-based bulk metallic glasses by ensemble machine learning and interpretable information
Journal of Alloys and Compounds · 2025-01-27
Qiulin Bi, Jialiang Liu, Junting Li, Hanmei Chen, Shunwei Chen, Xiujun Han
Read original paper ↗ ·