Papers citing Toward autonomous design and synthesis of novel inorganic materials
Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission
APL Materials · 2023-07-01
Davi Fébba, Kevin R. Talley, Kendal Johnson, Stephen T. Schaefer, Sage R. Bauers, John S. Mangum, Rebecca W. Smaha, Andriy Zakutayev
Read original paper ↗ ·Development of high‐throughput wet‐chemical synthesis techniques for material research
Materials Genome Engineering Advances · 2023-09-01
Zhuyang Chen, Dongdong Lu, Jinwei Cao, Fu Zhao, Guang Feng, Chen Guang Xu, Yonghong Deng, X.‐D. Xiang
Read original paper ↗ ·Machine learning based analysis of metal support co-sintering process for solid oxide fuel cells
Ceramics International · 2023-09-01
Woosuck Shin, Yuki Yamaguchi, Mirano Horie, Hiroyuki Shimada, Katsuhiro Nomura, Hirofumi Sumi
Read original paper ↗ ·Curated materials data of hybrid perovskites: approaches and potential usage
Trends in Chemistry · 2023-09-15
Rayan Chakraborty, Volker Blüm
Read original paper ↗ ·Improving efficiency of autonomous material search via transfer learning from nontarget properties
Science and Technology of Advanced Materials Methods · 2023-09-27
Jaekyun Hwang, Yuma Iwasaki
Read original paper ↗ ·Data driven design of compositionally complex energy materials
Computational Materials Science · 2023-09-30
Lin Wang, Zhengda He, Bin Ouyang
Read original paper ↗ ·Assessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials
ACS Central Science · 2023-10-16
Matthew J. McDermott, Brennan C. McBride, Corlyn E. Regier, Gia Thinh Tran, Yu Chen, Adam A. Corrao, Max C. Gallant, Gabrielle E. Kamm, Christopher J. Bartel, Karena W. Chapman, Peter G. Khalifah, Gerbrand Ceder, James Richmond Neilson, Kristin Aslaug Persson
Read original paper ↗ ·Autonomous and dynamic precursor selection for solid-state materials synthesis
Nature Communications · 2023-10-31
Nathan J. Szymanski, Pragnay Nevatia, Christopher J. Bartel, Yan Zeng, Gerbrand Ceder
Read original paper ↗ ·Semiautomated Experiments to Accelerate the Design of Advanced Battery Materials: Combining Speed, Low Cost, and Adaptability
ACS Engineering Au · 2023-11-04
Eric McCalla
Read original paper ↗ ·Accelerating the prediction of stable materials with machine learning
Nature Computational Science · 2023-11-09
Sean D. Griesemer, Yi Xia, Chris M. Wolverton
Read original paper ↗ ·Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap
Machine Learning Science and Technology · 2023-12-01
Ryan M. Jacobs, Philip E. Goins, Dane D. Morgan
Read original paper ↗ ·Accelerated chemical science with AI
Digital Discovery · 2023-12-06
Seoin Back, Alán Aspuru‐Guzik, Michele Ceriotti, Ganna Gryn’ova, Bartosz A. Grzybowski, Geun Ho Gu, Jason E. Hein, Kedar Hippalgaonkar, Rodrigo Hormázabal, Yousung Jung, Seonah Kim, Woo Youn Kim, Seyed Mohamad Moosavi, Juhwan Noh, Chang-Young Park, Joshua Schrier, Philippe Schwaller, Koji Tsuda, Tejs Vegge, O. Anatole von Lilienfeld, Aron Walsh
Read original paper ↗ ·Neural structure fields with application to crystal structure autoencoders
Communications Materials · 2023-12-12
Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono
Read original paper ↗ ·Text Mining the Literature to Inform Experiments and Rationalize Impurity Phase Formation for BiFeO3
Chemistry of Materials · 2023-12-29
Kevin Cruse, Viktoriia Baibakova, Maged Abdelsamie, Kootak Hong, Christopher J. Bartel, Amalie Trewartha, Anubhav Jain, Carolin M. Sutter‐Fella, Gerbrand Ceder
Read original paper ↗ ·How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science
Chemical Science · 2024-01-01
Joseph H. Montoya, Carolyn A. Grimley, Muratahan Aykol, Colin Ophus, Hadas Sternlicht, Benjamin H. Savitzky, Andrew M. Minor, Steven B. Torrisi, Jackson Goedjen, Ching‐Chang Chung, Andrew H. Comstock, Shijing Sun
Read original paper ↗ ·Mechanistic vs. Predictive Success: A Theory of What “Understanding” Means for AI in Materials Science
Journal of Artificial Intelligence for Materials Science · 2024-01-01
Ahmed El-Kholy, Nour Abdelrahman, Karim Hassan, Mona Saad
Read original paper ↗ ·The rise of high-entropy battery materials
Nature Communications · 2024-02-01
Bin Ouyang, Yan Zeng
Read original paper ↗ ·Challenges and Strategies for Synthesizing High Performance Micro and Nanoscale High Entropy Oxide Materials
Small · 2024-02-13
Liang Zhang, Jiru Jia, Jianhua Yan
Read original paper ↗ ·Lead-Free Halide Perovskites for Photocatalysis via High-Throughput Exploration
Chemistry of Materials · 2024-02-27
Astita Dubey, Sheryl L. Sanchez, Jonghee Yang, Mahshid Ahmadi
Read original paper ↗ ·Integrated analysis of X-ray diffraction patterns and pair distribution functions for machine-learned phase identification
npj Computational Materials · 2024-02-28
Nathan J. Szymanski, Sean Fu, Ellen Persson, Gerbrand Ceder
Read original paper ↗ ·Revealing the Potential and Challenges of High‐Entropy Layered Cathodes for Sodium‐Based Energy Storage
Advanced Energy Materials · 2024-03-10
Hong Jun Gao, Jiayi Li, Fan Zhang, Congcong Li, Jun Xiao, Xinming Nie, Gui-Lai Zhang, Yang Xiao, Dingyi Zhang, Xin Wen Guo, Yong Wang, Yong‐Mook Kang, Guoxiu Wang, Hao Liu
Read original paper ↗ ·Navigating phase diagram complexity to guide robotic inorganic materials synthesis
Nature Synthesis · 2024-04-09
Jiadong Chen, Samuel R. Cross, Lincoln J. Miara, Jeong‐Ju Cho, Yan Eric Wang, Wenhao Q. Sun
Read original paper ↗ ·Spatially resolved lock-in micro-thermography (SR-LIT): A tensor analysis-enhanced method for anisotropic thermal characterization
Applied Physics Reviews · 2024-04-09
Dihui Wang, Heng Ban, Puqing Jiang
Read original paper ↗ ·Deep learning of experimental electrochemistry for battery cathodes across diverse compositions
Joule · 2024-04-10
Peichen Zhong, Bowen Deng, Tanjin He, Zhengyan Lun, Gerbrand Ceder
Read original paper ↗ ·Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries
Applied Physics Reviews · 2024-04-12
Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li
Read original paper ↗ ·Autonomous Synthesis of Thin Film Materials with Pulsed Laser Deposition Enabled by In Situ Spectroscopy and Automation
Small Methods · 2024-04-28
Sumner B. Harris, Arpan Biswas, Seok Joon Yun, Kevin M. Roccapriore, Christopher M. Rouleau, Alexander A. Puretzky, Rama Krishnan Vasudevan, David B. Geohegan, Kai Xiao
Read original paper ↗ ·Comparison of Predictive Modeling Concrete Compressive Strength with Machine Learning Approaches
UKaRsT · 2024-04-30
Gregorius Airlangga
Read original paper ↗ ·Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures
Metals · 2024-05-07
Martin Johannes Müller, Marie Stiefel, Björn-Ivo Bachmann, Dominik Britz, Frank Mücklich
Read original paper ↗ ·Data-driven auto-tuning strategy for RTO-MPC based on Bayesian optimization
Computers & Chemical Engineering · 2024-05-17
Lingzhi Zhang, Lei Xie, Hongye Su, Jinfeng Liu
Read original paper ↗ ·Elevating energy storage: High-entropy materials take center stage
Journal of Energy Storage · 2024-05-22
Manmohan Mishra, Mahendra Kumar
Read original paper ↗ ·Bright Innovations: Review of Next-Generation Advances in Scintillator Engineering
ACS Nano · 2024-05-23
Pallavi Singh, Georgy A. Dosovitskiy, Yehonadav Bekenstein
Read original paper ↗ ·Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
Nature Computational Science · 2024-05-23
Jiahao Xie, Yansong Zhou, Muhammad Faizan, Zewei Li, Tianshu Li, Yuhao Fu, Xinjiang Wang, Lijun Zhang
Read original paper ↗ ·Imbalanced spectral data analysis using data augmentation based on the generative adversarial network
Scientific Reports · 2024-06-09
Jihoon Chung, Junru Zhang, Amirul Islam Saimon, Yang Liu, Blake N. Johnson, Zhenyu Kong
Read original paper ↗ ·Uncertainty-aware particle segmentation for electron microscopy at varied length scales
npj Computational Materials · 2024-06-12
Luca Rettenberger, Nathan J. Szymanski, Yan Zeng, Jan Schuetzke, Shilong Wang, Gerbrand Ceder, Markus Reischl
Read original paper ↗ ·Review of the opportunities and limitations for powder-based high-throughput solid-state processing of advanced functional ceramics
Journal of the European Ceramic Society · 2024-07-27
Kyle Grant Webber, Oliver Clemens, Vincenzo Buscaglia, Barbara Malič, Rajendra Kumar Bordia, Tobias Fey, Udo R. Eckstein
Read original paper ↗ ·A Perspective on Democratizing Mechanical Testing: Harnessing Artificial Intelligence to Advance Sustainable Material Adoption and Decentralized Manufacturing
Journal of Applied Mechanics · 2024-07-31
Christos E. Athanasiou, Xing Liu, Huajian Gao
Read original paper ↗ ·From Design to Device: Challenges and Opportunities in Computational Discovery of p -Type Transparent Conductors
PRX Energy · 2024-08-05
Rachel Woods‐Robinson, Monica Morales‐Masis, Geoffroy Hautier, Andrea Crovetto
Read original paper ↗ ·Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews · 2024-08-13
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 ↗ ·Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
Science and Technology of Advanced Materials Methods · 2024-09-02
Yuma Iwasaki
Read original paper ↗ ·Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds
npj Computational Materials · 2024-09-09
Seonghwan Kim, Byung Do Lee, Min Young Cho, Myoungho Pyo, Young‐Kook Lee, Woon Bae Park, Kee‐Sun Sohn
Read original paper ↗ ·Autonomous search for half-metallic materials with B 2 structure
Science and Technology of Advanced Materials Methods · 2024-09-12
Yuma Iwasaki, Ryo Toyama, Takahiro Yamazaki, Yasuhiko Igarashi, Masato Kotsugi, Yuya Sakuraba
Read original paper ↗ ·Digital manufacturing of perovskite materials and solar cells
Applied Energy · 2024-09-17
Zixuan Wang, Zijian Chen, Boyuan Wang, Chuang Zhi Wu, Chao Zhou, Peng Yang, Xinyu Zhang, Zongming Ni, Chi-yung Chung, Ching-chuen Chan, Jian Ming Yang, Haitao Zhao
Read original paper ↗ ·Crystal Structure Determination from Powder Diffraction Patterns with Generative Machine Learning
Journal of the American Chemical Society · 2024-09-19
Eric A. Riesel, Tsach Mackey, Hamed Nilforoshan, Minkai Xu, Catherine K. Badding, Alison B. Altman, Jure Leskovec, Danna E. Freedman
Read original paper ↗ ·Identifying crystal structures beyond known prototypes from x-ray powder diffraction spectra
Physical Review Materials · 2024-10-02
Abhijith S. Parackal, Rhys E. A. Goodall, Felix A. Faber, Rickard Armiento
Read original paper ↗ ·Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization
Journal of Computing and Information Science in Engineering · 2024-10-14
Arpan Biswas, Mani Valleti, Rama Krishnan Vasudevan, Maxim A Ziatdinov, Sergei V. Kalinin
Read original paper ↗ ·Predicting and Accelerating Nanomaterial Synthesis Using Machine Learning Featurization
Nano Letters · 2024-11-12
Christopher C. Price, Yansong Li, Guanyu Zhou, Rehan Younas, Spencer S. Zeng, Tim H. Scanlon, Jason M. Munro, Christopher L. Hinkle
Read original paper ↗ ·Analysis of the effect of the Fermi surface matching at Co–Fe and Cu interface on giant magnetoresistance effect using a combinatorial technique
AIP Advances · 2024-12-01
Varun Kumar Kushwaha, Ryo Toyama, Yoshio Miura, Yuma Iwasaki, Yuya Sakuraba
Read original paper ↗ ·Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility
Machine Learning Science and Technology · 2024-12-01
Ryan M. Jacobs, Lane E. Schultz, Aristana Scourtas, K. J. Schmidt, Owen Price-Skelly, Will Engler, Ian T Foster, Ben J. Blaiszik, Paul M. Voyles, Dane D. Morgan
Read original paper ↗ ·The Changing Landscape of Materials Discovery
CHIMIA International Journal for Chemistry · 2024-12-18
Fabian O. von Rohr
Read original paper ↗ ·Deep reinforcement learning for inverse inorganic materials design
npj Computational Materials · 2024-12-19
Christopher J. Karpovich, Elton Pan, Elsa Olivetti
Read original paper ↗ ·