![In‐Sensor Computing: Materials, Devices, and Integration Technologies - Wan - 2023 - Advanced Materials - Wiley Online Library In‐Sensor Computing: Materials, Devices, and Integration Technologies - Wan - 2023 - Advanced Materials - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/1ddd7d56-4312-4f9f-98e2-17ec06a7b156/adma202203830-fig-0001-m.jpg)
In‐Sensor Computing: Materials, Devices, and Integration Technologies - Wan - 2023 - Advanced Materials - Wiley Online Library
![PDF] Interactive overlays: A new method for generating global journal maps from Web-of-Science data | Semantic Scholar PDF] Interactive overlays: A new method for generating global journal maps from Web-of-Science data | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/f86fde02f0441015578c8ad0a6be92786547ba56/31-Figure8-1.png)
PDF] Interactive overlays: A new method for generating global journal maps from Web-of-Science data | Semantic Scholar
![Sustainability | Free Full-Text | What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective Sustainability | Free Full-Text | What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective](https://www.mdpi.com/sustainability/sustainability-15-13471/article_deploy/html/images/sustainability-15-13471-g008.png)
Sustainability | Free Full-Text | What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective
![Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities - Zanotto - 2022 - Batteries & Supercaps - Wiley Online Library Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities - Zanotto - 2022 - Batteries & Supercaps - Wiley Online Library](https://chemistry-europe.onlinelibrary.wiley.com/cms/asset/9c6f1a01-1150-4419-aa38-751b4a50c1e3/batt202200224-toc-0001-m.jpg)
Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities - Zanotto - 2022 - Batteries & Supercaps - Wiley Online Library
![Quantum Computing and Simulations for Energy Applications: Review and Perspective | ACS Engineering Au Quantum Computing and Simulations for Energy Applications: Review and Perspective | ACS Engineering Au](https://pubs.acs.org/cms/10.1021/acsengineeringau.1c00033/asset/images/medium/eg1c00033_0032.gif)
Quantum Computing and Simulations for Energy Applications: Review and Perspective | ACS Engineering Au
![Understanding and design of metallic alloys guided by phase-field simulations | npj Computational Materials Understanding and design of metallic alloys guided by phase-field simulations | npj Computational Materials](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41524-023-01038-z/MediaObjects/41524_2023_1038_Fig1_HTML.png)
Understanding and design of metallic alloys guided by phase-field simulations | npj Computational Materials
![International Journal of Applied and Computational Mathematics Impact Factor, Indexing, Acceptance rate, Abbreviation 2024 - Open Access Journals International Journal of Applied and Computational Mathematics Impact Factor, Indexing, Acceptance rate, Abbreviation 2024 - Open Access Journals](https://www.openacessjournal.com/assets/membership/2023091149Inter.jpg)
International Journal of Applied and Computational Mathematics Impact Factor, Indexing, Acceptance rate, Abbreviation 2024 - Open Access Journals
![Applied Sciences | Free Full-Text | X-ray Diffraction Data Analysis by Machine Learning Methods—A Review Applied Sciences | Free Full-Text | X-ray Diffraction Data Analysis by Machine Learning Methods—A Review](https://pub.mdpi-res.com/applsci/applsci-13-09992/article_deploy/html/images/applsci-13-09992-g001.png?1693836757)
Applied Sciences | Free Full-Text | X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
![Advancing Computational Toxicology by Interpretable Machine Learning | Environmental Science & Technology Advancing Computational Toxicology by Interpretable Machine Learning | Environmental Science & Technology](https://pubs.acs.org/cms/10.1021/acs.est.3c00653/asset/images/medium/es3c00653_0004.gif)
Advancing Computational Toxicology by Interpretable Machine Learning | Environmental Science & Technology
![MatSciBERT: A materials domain language model for text mining and information extraction | npj Computational Materials MatSciBERT: A materials domain language model for text mining and information extraction | npj Computational Materials](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41524-022-00784-w/MediaObjects/41524_2022_784_Fig1_HTML.png)