Papers citing Can artificial intelligence create the next wonder material?
Inversion of diffraction data for amorphous materials
Scientific Reports · 2016
Anup Pandey, Parthapratim Biswas, David Alan Drabold
Read original paper ↗ ·Computers as Inventors – Legal and Policy Implications of Artificial Intelligence on Patent Law
SCRIPTed A Journal of Law Technology & Society · 2016
E. Scott Fraser
Read original paper ↗ ·Realistic inversion of diffraction data for an amorphous solid: The case of amorphous silicon
Physical review. B./Physical review. B · 2016
Anup Pandey, Parthapratim Biswas, Bishal Bhattarai, David Alan Drabold
Read original paper ↗ ·Synthesis of new materials by using fuzzy and big data concepts
Procedia Computer Science · 2017
Mustafa Babanli
Read original paper ↗ ·Toward high value sensing: monolayer-protected metal nanoparticles in multivariable gas and vapor sensors
Chemical Society Reviews · 2017
Radislav A. Potyrailo
Read original paper ↗ ·Design and Properties Prediction of AMCO3F by First-Principles Calculations
ACS Applied Materials & Interfaces · 2017
Meng Tian, Yurui Gao, Chuying Ouyang, Zhaoxiang Wang, Liquan Chen
Read original paper ↗ ·Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights
Chemistry of Materials · 2017
Praveen Pankajakshan, Suchismita Sanyal, Onno E. de Noord, Indranil Bhattacharya, Arnab Bhattacharyya, Umesh Vasudeo Waghmare
Read original paper ↗ ·Guidelines for rational design of high-performance absorbents: A case study of zeolite adsorbents for emerging pollutants in water
Green Energy & Environment · 2017
Xiaoxuan Wei, Ya Wang, Arturo J. Hernández‐Maldonado, Zhongfang Chen
Read original paper ↗ ·Quantifying similarity of pore-geometry in nanoporous materials
Nature Communications · 2017
Yongjin Lee, Senja Barthel, Paweł Dłotko, Seyed Mohamad Moosavi, Kathryn P. Hess, Berend Smit
Read original paper ↗ ·High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory
Scientific Reports · 2017
Kamal Kumar Choudhary, Irina Kalish, Ryan Beams, Francesca Tavazza
Read original paper ↗ ·Machine Learning Approach for Prediction and Understanding of Glass-Forming Ability
The Journal of Physical Chemistry Letters · 2017
Yitao Sun, H. Y. Bai, M. Z. Li, Weihua Wang
Read original paper ↗ ·Predicting the Mechanical Properties of Zeolite Frameworks by Machine Learning
Chemistry of Materials · 2017
Jack D. Evans, François‐Xavier Coudert
Read original paper ↗ ·Decoding the glass genome
Current Opinion in Solid State and Materials Science · 2017
John C. Mauro
Read original paper ↗ ·Polymer Informatics: Opportunities and Challenges
ACS Macro Letters · 2017
Debra J. Audus, Juan Pablo
Read original paper ↗ ·Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline
IEEE International Conference on eScience · 2017
Roselyne Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua P. Lequieu, Juan Pablo, Ian T Foster
Read original paper ↗ ·Magnetism of new metastable cobalt-nitride compounds
Nanoscale · 2018
Balamurugan Balasubramanian, Xin Zhao, Shah R. Valloppilly, Sumit Beniwal, Ralph Skomski, Anandakumar Sarella, Yunlong Jin, Xingzhong Li, Xiaoshan Xu, Huibo B. Cao, Haohan Wang, Axel Enders, Cai‐Zhuang Wang, Kai-Ming Ho, D. J. Sellmyer
Read original paper ↗ ·Recent Advances of Modeling in Applied and Natural Sciences
Journal of Ecology & Natural Resources · 2018
Read original paper ↗ ·Tuning mobility and stability of lithium ion conductors based on lattice dynamics
Energy & Environmental Science · 2018
Sokseiha Muy, John Christopher Bachman, Livia Giordano, Hao-Hsun Chang, Douglas L. Abernathy, Dipanshu Bansal, Olivier A. Delaire, Satoshi Hori, Ryoji Kanno, Filippo Maglia, Saskia Lupart, Peter Lamp, Yang Shao‐Horn
Read original paper ↗ ·Theory of chemical bonds in metalloenzymes XXI. Possible mechanisms of water oxidation in oxygen evolving complex of photosystem II
Molecular Physics · 2018
Kizashi Yamaguchi, Mitsuo Shoji, Hiroshi Isobe, Shusuke Yamanaka, Takashi Kawakami, Satoru Yamada, Michio Katouda, Takahito Nakajima
Read original paper ↗ ·Intelligent Monte Carlo: A New Paradigm for Inverse Polymerization Engineering
Macromolecular Theory and Simulations · 2018
Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Philippe Zinck, Florian J. Stadler, Krzysztof Aleksander Matyjaszewski
Read original paper ↗ ·Recruiting machine learning methods for molecular simulations of proteins
Molecular Simulation · 2018
Shriyaa Mittal, Diwakar Shukla
Read original paper ↗ ·Composition design for (PrNd–La–Ce) 2 Fe 14 B melt-spun magnets by machine learning technique
Chinese Physics B · 2018
Rui Li, Yao Liu, Shu-Lan Zuo, Tongyun Zhao, Fengxia Hu, Jirong Sun, Bao-gen Shen
Read original paper ↗ ·An open experimental database for exploring inorganic materials
Scientific Data · 2018
Andriy Zakutayev, Nick Wunder, Marcus Schwarting, John D. Perkins, Robert White, Kristin R. Munch, William Tumas, Caleb T. Phillips
Read original paper ↗ ·Machine learning technique for prediction of magnetocaloric effect in La(Fe,Si/Al) 13 -based materials
Chinese Physics B · 2018
Bo Zhang, Xin-Qi Zheng, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen
Read original paper ↗ ·Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Joule · 2018
Juan‐Pablo Correa‐Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq A. Jaffer, Vijay Chandrasekhar, Vladan Stevanović, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
Read original paper ↗ ·New Type of Nitrides with High Electrical and Thermal Conductivities
Chinese Physics Letters · 2018
Ning Liu, Xiaolong Chen, Jiangang Guo, Jun Deng, Liwei Guo
Read original paper ↗ ·Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape
Physical Review Materials · 2018
Kamal Kumar Choudhary, Brian DeCost, Francesca Tavazza
Read original paper ↗ ·Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
Integrating materials and manufacturing innovation · 2018
Dennis M. Dimiduk, Elizabeth A. Holm, Stephen R. Niezgoda
Read original paper ↗ ·Energy Materials Design for Steering Charge Kinetics
Advanced Materials · 2018
Guozhen Zhang, Yang Li, Xijun Wang, Ziye Wu, Jun Jiang, Yi Luo
Read original paper ↗ ·Physical descriptor for the Gibbs energy of inorganic crystalline solids and temperature-dependent materials chemistry
Nature Communications · 2018
Christopher J. Bartel, Samantha L. Millican, Ann M. Deml, John R. Rumptz, William Tumas, Alan W. Weimer, Stephan Lany, Vladan Stevanović, Charles B. Musgrave, Aaron M. Holder
Read original paper ↗ ·Vibrational Properties of Metastable Polymorph Structures by Machine Learning
Journal of Chemical Information and Modeling · 2018
Fleur Legrain, Ambroise van Roekeghem, Stefano Curtarolo A, Jesús Carrete, Georg K. H. Madsen, Natalio Mingo
Read original paper ↗ ·The materials data ecosystem: Materials data science and its role in data-driven materials discovery
Chinese Physics B · 2018
Hai-Qing Yin, Xue Jiang, Guo-Quan Liu, Sharon Elder, Bin Xu, Qing-Jun Zheng, Xuan-Hui Qu
Read original paper ↗ ·Integrated computational materials engineering for advanced materials: A brief review
Computational Materials Science · 2018
William Yi Wang, Jinshan Li, Weimin Liu, Zi‐Kui Liu
Read original paper ↗ ·Structures and evolution of metal oxide nanoclusters: Bottom-up genetic algorithm and fragment-based energy decomposition model
Annual reports in computational chemistry · 2019
Mingyang Chen
Read original paper ↗ ·A predicting model for properties of steel using the industrial big data based on machine learning
Computational Materials Science · 2019
Shun Guo, Jinxin Yu, Xingjun Liu, Cuiping Wang, Qingshan Jiang
Read original paper ↗ ·Application of support vector machine on controlling the silanol groups of silica xerogel with the aid of segmented continuous flow reactor
Chemical Engineering Science · 2019
Chuan Xi Wang, Qing‐Qing Yang, Jie‐Yu Wang, Jun Liang Zhao, Xiaoyue Wan, Zhen Guo, Yanhui Yang
Read original paper ↗ ·From DFT to machine learning: recent approaches to materials science–a review
Journal of Physics Materials · 2019
Gabriel Ravanhani Schleder, A. C. M. Padilha, Carlos Mera Acosta, Marcio Costa, A. Fazzio
Read original paper ↗ ·Intelligent Machine Learning: Tailor-Making Macromolecules
Polymers · 2019
Yousef Mohammadi, Mohammad Reza Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, Krzysztof Aleksander Matyjaszewski
Read original paper ↗ ·Structure prediction drives materials discovery
Nature Reviews Materials · 2019
Артем Ромаевич Оганов, Chris J. Pickard, Qiang Zhu, Richard J. Needs
Read original paper ↗ ·Carbon-containing multi-component thin films
Thin Solid Films · 2019
Ulf Jansson, Erik Lewin
Read original paper ↗ ·First-Principles Design and Simulations Promote the Development of Nonlinear Optical Crystals
Accounts of Chemical Research · 2019
Lei Kang, Fei Liang, Xingxing Jiang, Zheshuai Lin, Chuangtian Chen
Read original paper ↗ ·Synthesis of “iron-cast iron-glass” Obsolete Powder Composite Materials Using Fuzzy Logic
Advances in intelligent systems and computing · 2019
T. G. Jabbarov
Read original paper ↗ ·Structural, electronic and mechanical properties of all-sp2 carbon allotropes with density lower than graphene
Carbon · 2019
Tommaso Morresi, Andrea Pedrielli, S. a Beccara, Ruggero Gabbrielli, Nicola Maria Pugno, Simone Taioli
Read original paper ↗ ·Accelerating Materials Discovery Based on Generalized Low-dimensional Conformation Performance Relationships
IOP Conference Series Materials Science and Engineering · 2020
Yuanyuan Qu, Xiangying Meng, Zixi Jia, Xiaofeng Liu, Dongyan Liu, Shanshan Li, Fang Bian
Read original paper ↗ ·Heat-resistant Pb( ii )-based X-ray scintillating metal–organic frameworks for sensitive dosage detection via an aggregation-induced luminescent chromophore
Dalton Transactions · 2020
Jian Lü, Shuai‐Hua Wang, Yan Li, Wen-Fei Wang, Cai Sun, Pei-Xin Li, Fa‐Kun Zheng, Guo‐Cong Guo
Read original paper ↗ ·High throughput modelling of chiral carbon nanothread bundles
Queensland University of Technology · 2020
Pei Wang
Read original paper ↗ ·The partition principles for atomic-scale structures and their physical properties: application to the nonlinear optical crystal material KBe 2 BO 3 F 2
Physical Chemistry Chemical Physics · 2020
Zewen Cai, Xiyue Cheng, Myung‐Hwan Whangbo, Maochun Hong, Shuiquan Deng
Read original paper ↗ ·Accelerated design of novel W-free high-strength Co-base superalloys with extremely wide γ/γʹ region by machine learning and CALPHAD methods
Acta Materialia · 2020
Jingjing Ruan, Weiwei Xu, Tao Yang, Jinxin Yu, Shuiyuan Yang, Junhua Luan, Toshihiro Omori, Cuiping Wang, Ryosuke Kainuma, Kiyohito Ishida, C.T. Liu, Xingjun Liu
Read original paper ↗ ·Single‐Atom Catalytic Materials for Advanced Battery Systems
Advanced Materials · 2020
Chao Lü, Ruyue Fang, Xi Chen
Read original paper ↗ ·Multi-component and high-entropy nitride coatings—A promising field in need of a novel approach
Journal of Applied Physics · 2020
Erik Lewin
Read original paper ↗ ·