Papers citing Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties
Recent advances and applications of machine learning in solid-state materials science
npj Computational Materials · 2019-08-08
Jonathan Schmidt, Mário R. G. Marques, Silvana Botti, Miguel A. L. Marques
Read original paper ↗ ·Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design
Engineering · 2019-08-21
Teng Zhou, Zhen Song, Kai Sundmacher
Read original paper ↗ ·Predicting the Structure Stability of Layered Heteroanionic Materials Exhibiting Anion Order
Inorganic Chemistry · 2019-09-17
Jaye K. Harada, Kenneth Reinhard Poeppelmeier, James M. Rondinelli
Read original paper ↗ ·Virtual Materials Intelligence for Design and Discovery of Advanced Electrocatalysts
ChemPhysChem · 2019-10-06
Ali Malek, Mohammad J. Eslamibidgoli, Mehrdad Mokhtari, Qianpu Wang, Michael Hermann Eikerling, Kourosh Malek
Read original paper ↗ ·A high throughput molecular screening for organic electronics via machine learning: present status and perspective
Japanese Journal of Applied Physics · 2019-10-18
Akinori Saeki, Kakaraparthi Kranthiraja
Read original paper ↗ ·Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications
Inorganic Chemistry · 2019-10-31
Florian Belviso, Victor E. P. Claerbout, Aleix Comas‐Vives, Naresh S. Dalal, Feng-Ren Fan, Alessio Filippetti, Vincenzo Fiorentini, Lucas Foppa, Cesare Franchini, Benjamin Geisler, Luca M. Ghiringhelli, Axel Groß, Shunbo Hu, Jorge Íñiguez, Steven K. Kauwe, Janice L. Musfeldt, Paolo Nicolini, Rossitza Pentcheva, Tomáš Polcar, Wei Li Ren, Fabio Ricci, Francesco Ricci, Hüseyin Şener Şen, Jonathan Michael Skelton, Taylor D. Sparks, Alessandro Stroppa, Andrea Urru, Matthias Vandichel, P. Vavassori, Hua Wu, Ke Yang, Hong Jian Zhao, Danilo Puggioni, Remedios Cortese, Antonio Cammarata
Read original paper ↗ ·Uranium-based materials for thermoelectric applications
Applied Physics Letters · 2019-11-18
Eteri Svanidze, Igor Veremchuk, A. Leithe‐Jasper, Yuri Grin
Read original paper ↗ ·Machine Learning Approaches for Thermoelectric Materials Research
Advanced Functional Materials · 2019-11-20
Tian Wang, Cheng Zhang, Hichem Snoussi, Gang Zhang
Read original paper ↗ ·Thermoelectric Oxide Materials for Energy Conversion
Royal Society of Chemistry eBooks · 2019-11-20
Dursun Ekren, Feridoon Azough, Robert Freer
Read original paper ↗ ·Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells
Advanced Functional Materials · 2019-12-15
Nahdia Majeed, Maria Saladina, Michał Krompiec, Steve Greedy, Carsten Deibel, Roderick C. I. MacKenzie
Read original paper ↗ ·Can machine learning find extraordinary materials?
Computational Materials Science · 2019-12-31
Steven K. Kauwe, Jake Graser, Ryan Murdock, Taylor D. Sparks
Read original paper ↗ ·Big-data driven approaches in materials science: A survey
Materials Today Proceedings · 2020-01-01
Manwendra Kumar Tripathi, Randhir Kumar, Rakesh Tripathi
Read original paper ↗ ·Cost-effective materials discovery: Bayesian optimization across multiple information sources
Materials Horizons · 2020-01-01
Henry Herbol, Matthias Poloczek, Paulette Clancy
Read original paper ↗ ·Machine Learning Prediction for Bandgaps of Inorganic Materials
ES Materials & Manufacturing · 2020-01-01
Lang Wu, Yue Xiao, Mithun Ghosh, Qiang Zhou, Qing Hao
Read original paper ↗ ·Nanostructured Polymers for Thermoelectric Conversion
Springer eBooks · 2020-01-01
José M. Mata‐Padilla, Carlos Alberto Ávila‐Orta, Víctor J. Crúz‐Delgado, Juan Guillermo Martínez‐Colunga
Read original paper ↗ ·A Critical Review of Machine Learning of Energy Materials
Advanced Energy Materials · 2020-01-29
Chi Chen, Yunxing Zuo, Weike Ye, Xiangguo Li, Zhi Deng, Shyue Ping Ong
Read original paper ↗ ·Physical and chemical descriptors for predicting interfacial thermal resistance
Scientific Data · 2020-02-03
Yen‐Ju Wu, Tianzhuo Zhan, Zhufeng Hou, Lei Fang, Yibin Xu
Read original paper ↗ ·Compositionally-Restricted Attention-Based Network for Materials Property Prediction
ChemRxiv · 2020-02-20
Anthony Wang, Steven Kauwe, Ryan Murdock, Taylor D. Sparks
Read original paper ↗ ·Machine Learning for Structural Materials
Annual Review of Materials Research · 2020-04-28
Taylor D. Sparks, Steven K. Kauwe, Marcus E. Parry, Aria Mansouri Tehrani, Jakoah Brgoch
Read original paper ↗ ·Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
Chemistry of Materials · 2020-05-19
Anthony Wang, Ryan Murdock, Steven K. Kauwe, Anton O. Oliynyk, Aleksander Gurlo, Jakoah Brgoch, Kristin Aslaug Persson, Taylor D. Sparks
Read original paper ↗ ·Material Descriptors for the Discovery of Efficient Thermoelectrics
ACS Applied Energy Materials · 2020-05-22
Patrizio Graziosi, Chathurangi Kumarasinghe, Neophytos Neophytou
Read original paper ↗ ·Machine-Learning Assisted Screening of Energetic Materials
The Journal of Physical Chemistry A · 2020-06-08
Peng Chao Kang, Zhongli Liu, Hakima Abou‐Rachid, Hong Guo
Read original paper ↗ ·Data-driven discovery of 3D and 2D thermoelectric materials
Journal of Physics Condensed Matter · 2020-06-26
Kamal Kumar Choudhary, Kevin F. Garrity, Francesca Tavazza
Read original paper ↗ ·A Statistical Approach for the Rapid Prediction of Electron Relaxation Time Using Elemental Representatives
Chemistry of Materials · 2020-07-07
Madhubanti Mukherjee, Swanti Satsangi, Abhishek Kumar Singh
Read original paper ↗ ·A New Era of Inorganic Materials Discovery Powered by Data Science
Royal Society of Chemistry eBooks · 2020-07-15
Ya Zhuo, Aria Mansouri Tehrani, Jakoah Brgoch
Read original paper ↗ ·AI Applications through the Whole Life Cycle of Material Discovery
Matter · 2020-08-01
Jiali Li, Kaizhuo Lim, Haitao Yang, Zekun Ren, S. Raghavan, Po‐Yen Chen, Tonio Buonassisi, Xiaonan Wang
Read original paper ↗ ·Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials
Crystals · 2020-08-01
Natasha Dropka, Martin Holeňa
Read original paper ↗ ·Is Domain Knowledge Necessary for Machine Learning Materials Properties?
Integrating materials and manufacturing innovation · 2020-08-27
Ryan Murdock, Steven K. Kauwe, Anthony Wang, Taylor D. Sparks
Read original paper ↗ ·Machine learning in materials design: Algorithm and application*
Chinese Physics B · 2020-10-14
Zhilong Song, Xiwen Chen, Fanbin Meng, Guanjian Cheng, Chen Wang, Zhongti Sun, Wan‐Jian Yin
Read original paper ↗ ·Invited review: Machine learning for materials developments in metals additive manufacturing
Additive manufacturing · 2020-10-19
Nathan Scott Johnson, Praveen S. Vulimiri, Albert C. To, Xin-Ya Zhang, Craig Brice, Branden B. Kappes, Aaron P. Stebner
Read original paper ↗ ·Emerging materials intelligence ecosystems propelled by machine learning
Nature Reviews Materials · 2020-11-09
Rohit Batra, Le Song, Rampi Ramprasad
Read original paper ↗ ·The Role of Machine Learning in the Understanding and Design of Materials
Journal of the American Chemical Society · 2020-11-10
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Read original paper ↗ ·Artificial neural network potential for pure zinc
Computational Materials Science · 2020-12-09
Mashroor S. Nitol, Doyl Dickel, Christopher D. Barrett
Read original paper ↗ ·A new material discovery platform of stable layered oxide cathodes for K-ion batteries
Energy & Environmental Science · 2021-01-01
Sohyun Park, Sunhyeon Park, Young Park, Muhammad Hilmy Alfaruqi, Jang‐Yeon Hwang, Jaekook Kim
Read original paper ↗ ·Accelerated Discovery of Thermoelectric Materials Using Machine Learning
Springer series in materials science · 2021-01-01
Rinkle Juneja, Abhishek Kumar Singh
Read original paper ↗ ·Atomic descriptors generated from coordination polyhedra in crystal structures
Science and Technology of Advanced Materials Methods · 2021-01-01
Yuki Inada, Yukari Katsura, Masaya Kumagai, Kaoru Kimura
Read original paper ↗ ·Effect of the polar distortion on the thermoelectric properties of GeTe
The European Physical Journal B · 2021-01-01
Aida Sheibani Gunder, Charles Paillard, Abhyian Pandit, Raad Edaan Haleoot, L. Bellaïche, Bothina A. Hamad
Read original paper ↗ ·Electronic transport descriptors for the rapid screening of thermoelectric materials
Materials Horizons · 2021-01-01
Tianqi Deng, Jose Recatala‐Gomez, Masato Ohnishi, D. V. Maheswar Repaka, Pawan Kumar, Ady Suwardi, Anas Abutaha, Iris S. Nandhakumar, Kanishka Biswas, Michael B. Sullivan, Gang Wu, Junichiro Shiomi, Shuo‐Wang Yang, Kedar Hippalgaonkar
Read original paper ↗ ·Machine Learning Regression Guided Thermoelectric Materials Discovery – A Review
ES Materials & Manufacturing · 2021-01-01
Guangshuai Han, Yixuan Sun, Yining Feng, Guang Lin, Na Lu
Read original paper ↗ ·Nanostructured Polymers for Thermoelectric Conversion
Springer eBooks · 2021-01-01
José M. Mata‐Padilla, Carlos Alberto Ávila‐Orta, Víctor J. Crúz‐Delgado, Juan Guillermo Martínez‐Colunga
Read original paper ↗ ·Review: Simulation Models for Materials and Biomolecules
Engineering materials · 2021-01-01
Carlton Anthony Taft, Jose Gabriel Solano Canchaya, José Santos, Junio Cesar Francisco Silva
Read original paper ↗ ·Structural diversity of the Zintl pnictides with rare-earth metals
Elsevier eBooks · 2021-01-01
Sviatoslav Baranets, Alexander Ovchinnikov, Svilen Bobev
Read original paper ↗ ·Statistical Modeling and Simulation of Online Shopping Customer Loyalty Based on Machine Learning and Big Data Analysis
Security and Communication Networks · 2021-02-18
Jui-Chan Huang, Po-Chang Ko, Cher‐Min Fong, Sn-Man Lai, Hsin‐Hung Chen, Ching-Tang Hsieh
Read original paper ↗ ·Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells
Advanced Functional Materials · 2021-02-25
Kakaraparthi Kranthiraja, Akinori Saeki
Read original paper ↗ ·Machine learning for material characterization with an application for predicting mechanical properties
GAMM-Mitteilungen · 2021-03-01
Anke Stoll, Peter Benner
Read original paper ↗ ·Thermal Transport in Polymers: A Review
ASME Journal of Heat and Mass Transfer · 2021-03-17
Xingfei Wei, Zhi Wang, Zhiting Tian, Tengfei Luo
Read original paper ↗ ·Machine Learning in Magnetic Materials
physica status solidi (b) · 2021-05-05
Georgios Katsikas, C. Sarafidis, Joseph Kioseoglou
Read original paper ↗ ·A machine-learning approach to predict creep properties of Cr–Mo steel with time-temperature parameters
Journal of Materials Research and Technology · 2021-05-06
Jiaqi Wang, Yongzhe Fa, Yuan Tian, Xinghua Yu
Read original paper ↗ ·Discovery of a Low Thermal Conductivity Oxide Guided by Probe Structure Prediction and Machine Learning
Angewandte Chemie International Edition · 2021-05-06
Christopher M. Collins, Matthew J. Rosseinsky, Quinn Gibson, Michael W. Gaultois, Michael Moran, Richard Feetham, Michael J. Pitcher, Matthew Stephen Dyer, C. Delacotte, Marco Zanella, Claire A. Murray, Györgyi Glodán, Olivier Pérez, D. Pelloquin, Troy D. Manning, Jonathan Alaria, George R. Darling, John B. Claridge, Matthew J. Rosseinsky
Read original paper ↗ ·Discovery of a Low Thermal Conductivity Oxide Guided by Probe Structure Prediction and Machine Learning
Angewandte Chemie · 2021-05-06
Christopher M. Collins, Luke M. Daniels, Quinn Gibson, Michael W. Gaultois, Michael Moran, Richard Feetham, Michael J. Pitcher, Matthew Stephen Dyer, C. Delacotte, Marco Zanella, Claire A. Murray, Györgyi Glodán, Olivier Pérez, D. Pelloquin, Troy D. Manning, Jonathan Alaria, George R. Darling, John B. Claridge, Matthew J. Rosseinsky
Read original paper ↗ ·