
An audio digest of selected open-access publications in materials science. Episodes include AI-generated summaries as well as complete audio versions of peer-reviewed papers. Topics span atomistic simulations, microstructure–property relationships, mechanical behavior of metals and alloys, sustainability, and digitalization in materials research. All original publications are fully cited and linke... more
| Publishes | Daily | Episodes | 36 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceNatural Sciences | |||

This is a notebookLM-generated podcast about the paper "Geologic hydrogen: a review of resource potential, subsurface dynamics, exploration, production, transportation, and research opportunities" by Shaowen Mao, Siqin Yu, Jianping Xu, Hang Chen, Wen... more
This is an audio version of the paper "Mechanochemistry: Looking back and ahead" by Tomislav Stolar, Jasna Alić, Lucia Casali, Nikita Gugin, Matej Baláž, Adam A.L. Michalchuk, Franziska Emmerling, published 2026 in Chem.
The original paper can be fo... more
This is an audio version of the paper "Solute adsorption, disconnections, and grain growth: Potentially critical aspects of microstructural evolution" by Rachel Marder, W. Craig Carter, Wayne D. Kaplan, published in 2026 in the January Issue of MRS B... more
This is an audio version of the paper "Probing grain-boundary structure, chemistry, and transitions" by Siyuan Zhang, Eleonora Isotta, Ruben Bueno-Villoro, Christina Scheu, published 2026 in MRS Bulletin.
The original paper can be found at: https://... more
This is an audio version of the paper "Defect phases beyond grain boundaries" by Sandra Korte-Kerzel, Timothy J. Rupert, Daniel S. Gianola, Stefanie Sandlöbes-Haut, Zhuocheng Xie, published 2026 in MRS Bulletin.
The original paper can be found at: h... more
This is an audio version of the paper "Thermodynamics of grain-boundary phases" by Timofey Frolov, Jörg Neugebauer, Yuri Mishin, published 2026 in MRS Bulletin.
The original paper can be found at: doi.org/10.1557/s43577-025-01022-6
The orig... more
This Podcast discusses four papers that appeared in the Jan 2026 MRS Bulletin on defect phases:
Defect phases beyond grain boundaries by Korte-Krezel et al.
doi.org/10.1557/s43577-025-01044-0
Thermodynamics of grain-boundary phases by Fro... more
This podcast episode is an notebooklm audio overview of the paper "Mechanochemistry: Fundamental Principles and Applications" by Liang Dong, Luofei Li, Huiyan Chen, Yi Cao, and Hai Lei.
The original work is available at: doi.org/10.1002/advs... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #57 | |
Apple Podcasts | #186 | |
Apple Podcasts | #215 |









Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
Episodes serve as technical briefings that surface open-access materials science publications through concise, audio-first narrations. They frequently explore topics like grain-boundary behavior, defect phases, dislocations, and microstructural evolution, often tying theoretical frameworks to experimental observations. A notable strength is the combination of in-depth theoretical discussion with accessible explanations and direct references to figures, experiments, and modeling approaches, making avancer audience-friendly for researchers while still offering rigorous detail for practitioners. The format includes AI-assisted summaries alongside full audio renditions of peer-reviewed work, which can help listeners quickly gauge relevance and ... more
Rephonic provides a wide range of podcast stats for Materials: Machine Read. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Materials: Machine Read and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Materials: Machine Read, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Materials: Machine Read, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Materials: Machine Read has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Materials: Machine Read launched a year ago and published 36 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Materials: Machine Read from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Materials: Machine Read. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on Materials: Machine Read include:
1. Timothy J. Rupert
2. Daniel S. Gianola
3. Stefanie Sandlöbes-Haut
4. Zhuocheng Xie
5. Sandra Korte-Kerzel
6. Timofey Frolov
7. Sandra Korte-Krezel
8. Rachel Marder
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.