Papers citing Materials discovery and design using machine learning
Data‐Driven Materials Science: Status, Challenges, and Perspectives
Advanced Science · 2019
Lauri Himanen, Amber Geurts, Adam Stuart Foster, Patrick Rinke
Read original paper ↗ ·Experiment‐Oriented Materials Informatics for Efficient Exploration of Design Strategy and New Compounds for High‐Performance Organic Anode
Advanced Theory and Simulations · 2019
Hiromichi Numazawa, Yasuhiko Igarashi, Kosuke Sato, Hiroaki Imai, Yuya Oaki
Read original paper ↗ ·Recent Advances in Graphene-like 2D Materials for Spintronics Applications
Chemistry of Materials · 2019
Indrani Choudhuri, Preeti Bhauriyal, Biswarup Pathak
Read original paper ↗ ·Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces using an Amphiphilic Polymer
ACS Omega · 2019
Surya Subianto, Cheng Li, David Rubin de Celis Leal, Santu Rana, Sunil Gupta, Rongliang He, Svetha Venkatesh, Alessandra Sutti
Read original paper ↗ ·Physics-Guided Neural Modeling for Low-Dimensional Thermoelectric Module
IEEE Electron Device Letters · 2019
Jonghwan Lee
Read original paper ↗ ·Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency
Venue not supplied by source · 2019
Tristan Hascoet, Xuejiao Deng, Kiyoto Tai, Yuji Adachi, Sachiko Nakamura, Tomoko Hayashi, Mari Sugiyama, Yasuo Ariki, Tetsuya Takiguchi
Read original paper ↗ ·Dimensionality reduction for visualizing industrial chemical process data
Control Engineering Practice · 2019
Mark N. Joswiak, You Peng, Iván Castillo, Leo H. Chiang
Read original paper ↗ ·Design and development of sign language questionnaires based on video and web interfaces
Artificial intelligence for engineering design analysis and manufacturing · 2019
Juan Pedro López, Marta Bosch-Baliarda, Carlos Alberto Martín, José Manuel Menéndez, Pilar Orero, Olga Soler Vilageliú, Federico Álvarez
Read original paper ↗ ·Generative Counterfactual Introspection for Explainable Deep Learning
IEEE Global Conference on Signal and Information Processing · 2019
Shusen Liu, Bhavya Kailkhura, Donald Loveland, Yong Han
Read original paper ↗ ·Review: Materials Ecosystem for Additive Manufacturing Powder Bed Fusion Processes
JOM · 2019
Behrang Poorganji, Eric A. Ott, Rajandra Kelkar, Andrew E. Wessman, Mahdi Jamshidinia
Read original paper ↗ ·Machine Learning for Accelerated Discovery of Solar Photocatalysts
ACS Catalysis · 2019
Hassan Masood, Cui Ying Toe, Wey Yang Teoh, Vidhyasaharan Sethu, Rose Amal
Read original paper ↗ ·Substantiation of the method of integrated group unification of machine and appliance designs
Eastern-European Journal of Enterprise Technologies · 2019
Gennadii Golub, Nataliya Tsyvenkova, Viacheslav Chuba, Anna Holubenko, Marina Tereshchuk
Read original paper ↗ ·Machine Learning Stability and Bandgaps of Lead‐Free Perovskites for Photovoltaics
Advanced Theory and Simulations · 2019
Jared C. Stanley, Felix Mayr, Alessio Gagliardi
Read original paper ↗ ·Predicting glass transition temperature of polyphenol molecular based on its structure
Computational Materials Science · 2019
Fang-qiang Yuan, Liqiang Xie, Yufeng Wen
Read original paper ↗ ·The chemical physics of sequential infiltration synthesis—A thermodynamic and kinetic perspective
The Journal of Chemical Physics · 2019
Ruben Z. Waldman, David J. Mandia, Ángel Yanguas-Gil, Alex B. F. Martinson, Jeffrey W. Elam, Seth B. Darling
Read original paper ↗ ·Decoding Phases of Matter by Machine-Learning Raman Spectroscopy
Physical Review Applied · 2019
Anyang Cui, Kai Jiang, Minhong Jiang, Liyan Shang, Liangqing Zhu, Zhigao Hu, Guisheng Xu, Junhao Chu
Read original paper ↗ ·A Computational Approach to the Microstructural Design of High‐Speed Steels
steel research international · 2019
Gero Egels, Nils Wulbieter, Sebastian Weber, Werner Theisen
Read original paper ↗ ·Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets
Journal of Chemical Information and Modeling · 2019
Fiorella Cravero, Santiago A. Schustik, María Jimena Martínez, Gustavo E. Vázquez, Mónica F. Díaz, Ignacio Ponzoni
Read original paper ↗ ·Model-driven design of bioactive glasses: from molecular dynamics through machine learning
International Materials Reviews · 2019
Maziar Montazerian, Edgar Dutra Zanotto, John C. Mauro
Read original paper ↗ ·Machine learning on density and elastic property of oxide glasses driven by large dataset
Journal of Non-Crystalline Solids · 2019
Binghui Deng
Read original paper ↗ ·Cuboctahedral stability in Titanium halide perovskites via machine learning
Computational Materials Science · 2019
Hisham A. Maddah, Vikas Berry, Sanjay Kumar Behura
Read original paper ↗ ·Brief overview of microscopic physical image of ion transport in electrolytes
Acta Physica Sinica · 2020
Yuan Ren, Zheyi Zou, Qian Zhao, Da Wang, Jia Yu, Siqi Shi
Read original paper ↗ ·Deep Multi-Layer Perceptron based Prediction of Energy Efficiency and Surface Quality for Milling in The Era of Sustainability and Big Data
Procedia Manufacturing · 2020
Gökberk Serin, Batıhan Şener, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu, Hakkı Özgür Ünver
Read original paper ↗ ·Development and application of battery materials database
Acta Physica Sinica · 2020
Siyuan Wu, Yuqi Wang, Ruijuan Xiao, Liquan Chen
Read original paper ↗ ·Electron configuration-based neural network model to predict physicochemical properties of inorganic compounds
RSC Advances · 2020
Hyun Kil Shin
Read original paper ↗ ·Formulation of mix design for 3D printing of geopolymers: a machine learning approach
Materials Advances · 2020
Ali Bagheri, Christian Crémona
Read original paper ↗ ·Improving the Accuracy of Student Problem Identification Using Rule-Based Machine Learning
Venue not supplied by source · 2020
Budi Sulistiyo, Bayu Surarso, Wahyul Amien Syafei
Read original paper ↗ ·Interactive human–machine learning framework for modelling of ferroelectric–dielectric composites
Journal of Materials Chemistry C · 2020
Ning Liu, Achintha Ihalage, Hangfeng Zhang, Henry Giddens, Haixue Yan, Yang Hao
Read original paper ↗ ·Introduction
Synthesis lectures on materials and optics · 2020
Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman
Read original paper ↗ ·Large Scale Integrated Materials Modeling Programs
Elsevier eBooks · 2020
L. Malerba
Read original paper ↗ ·Machine Learning and Big Data Provide Crucial Insight for Future Biomaterials Discovery and Research
Acta Biomaterialia · 2020
Jacob Kerner, Alan B. Dogan, Horst A. von Recum
Read original paper ↗ ·Machine learning approach for materials technologies
Elsevier eBooks · 2020
Jatindra Kumar Dash, Mohit Sharma, Goutam Kumar Dalapati
Read original paper ↗ ·Machine learning-driven new material discovery
Nanoscale Advances · 2020
Jiazhen Cai, Xuan Chu, Kun Xu, Hongbo Li, Jing Wei
Read original paper ↗ ·Machine-learning interatomic potentials enable first-principles multiscale modeling of lattice thermal conductivity in graphene/borophene heterostructures
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2020
Bohayra Mortazavi, Evgeny V. Podryabinkin, Stephan Roche, Timon Rabczuk, Xiaoying Zhuang, Alexander V. Shapeev
Read original paper ↗ ·Molecular dynamics based descriptors for predicting supramolecular gelation
Chemical Science · 2020
Ruben Van Lommel, Jianyu Zhao, Wim M. De Borggraeve, Frank De Proft, Mercedes Alonso
Read original paper ↗ ·Opportunities for nanotechnology to enhance electrochemical treatment of pollutants in potable water and industrial wastewater – a perspective
Environmental Science Nano · 2020
Sergi Garcia‐Segura, Xiaolei Qu, Pedro J. J. Alvarez, Brian P. Chaplin, Wei Chen, John C. Crittenden, Yujie Feng, Guandao Gao, Zhen He, Chia‐Hung Hou, Xiao Hu, Guibin Jiang, Jae‐Hong Kim, Jiansheng Li, Qilin Li, Jie Ma, Jinxing Ma, Alec Brockway Nienhauser, Junfeng Niu, Bingcai Pan, Xie Quan, Filippo Ronzani, D. Villagrán, T. David Waite, W. Shane Walker, Can Wang, Michael S. Wong, Paul K. Westerhoff
Read original paper ↗ ·Prediction of Energy Gaps in Graphene—Hexagonal Boron Nitride Nanoflakes Using Artificial Neural Networks
Springer series in materials science · 2020
Tudor Luca Mitran, George Alexandru Nemneş
Read original paper ↗ ·Unraveling the role of bonding chemistry in connecting electronic and thermal transport by machine learning
Journal of Materials Chemistry A · 2020
Rinkle Juneja, Abhishek Kumar Singh
Read original paper ↗ ·Inverse design of porous materials using artificial neural networks
Science Advances · 2020
Baekjun Kim, Sangwon Lee, Jihan Kim
Read original paper ↗ ·Modeling thermoset polymers using an improved molecular dynamics crosslinking methodology
Computational Materials Science · 2020
Jacob J. Schichtel, Aditi Chattopadhyay
Read original paper ↗ ·Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges
Polymers · 2020
Guang Chen, Zhiqiang Shen, Akshay Iyer, Umar Farooq Ghumman, Shan Tang, Jinbo Bi, Wei Chen, Ying Li
Read original paper ↗ ·Catalytic materials and chemistry development using a synergistic combination of machine learning and ab initio methods
Computational Materials Science · 2020
Nilesh Varadan Orupattur, Samir H. Mushrif, Vinay Prasad
Read original paper ↗ ·Machine‐Learning‐Based Image Similarity Analysis for Use in Materials Characterization
Advanced Theory and Simulations · 2020
Zhilei Wang, Toshio Ogawa, Yoshitaka Adachi
Read original paper ↗ ·A Critical Review of Machine Learning of Energy Materials
Advanced Energy Materials · 2020
Chi Chen, Yunxing Zuo, Weike Ye, Xiangguo Li, Zhi Deng, Shyue Ping Ong
Read original paper ↗ ·Descriptors for dielectric constants of perovskite-type oxides by materials informatics with first-principles density functional theory
Science and Technology of Advanced Materials · 2020
Yusuke Noda, Masanari Otake, Masanobu Nakayama
Read original paper ↗ ·Merging Materials and Data Science: Opportunities, Challenges, and Education in Materials Informatics
MRS Advances · 2020
Thomas J. Oweida, Akhlak U. Mahmood, Matthew D. Manning, Sergei Rigin, Yaroslava G. Yingling
Read original paper ↗ ·Semantic segmentation of the micro-structure of strain-hardening cement-based composites (SHCC) by applying deep learning on micro-computed tomography scans
Cement and Concrete Composites · 2020
Renata Lorenzoni, Iurie Curoșu, Sidnei Paciornik, Viktor Mechtcherine, Martin Oppermann, Flávio de Andrade Silva
Read original paper ↗ ·Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network
Metals · 2020
Yuxuan Wang, Xuebang Wu, Xiangyan Li, Z.M. Xie, Rui Liu, Wei Liu, Yange Zhang, Yichun Xu, C.S. Liu
Read original paper ↗ ·Genetic algorithm-driven discovery of unexpected thermal conductivity enhancement by disorder
Nano Energy · 2020
Wei Han, Hua Bao, Xiulin Ruan
Read original paper ↗ ·Artificial intelligence and machine learning for targeted energy storage solutions
Current Opinion in Electrochemistry · 2020
Dean H. Barrett, Aderemi Bashiru Haruna
Read original paper ↗ ·