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APL Machine Learning

@aplmachinelearn

A new open access journal from @AIP_Publishing that will feature research in how machine learning & AI can aid physicists, material scientists, engineers & more

publishing.aip.org/apl-machine-learning
Joined March 2022
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Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)Photo by APL Machine Learning (@aplmachinelearn)
We’re continuing the conversation — in a new place. AIP Publishing is now posting on Bluesky: @ aip-publishing.bsky.social Follow us there for the latest research🧪
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We’re continuing the conversation — in a new place. AIP Publishing is now posting on Bluesky: @ aip-publishing.bsky.social Follow us there for the latest research🧪
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🔦 Author Spotlight: Esteemed APL Machine Learning author & editorial advisory board member, @ProfBuehlerMIT, shares his insight behind the paper which has been incorporated into the #HuggingFace #codebase Learn more 👇 aippub.org/434VR4M
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Author Spotlight: Esteemed APL Machine Learning author & editorial advisory board member, Markus Buehler, shares his insight behind the paper which has been incorporated into the #HuggingFace #codebase. Learn more 👇 aippub.org/3GViwYG
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The human brain is the most efficient data system we know of, partly due to its ability to perform computations in the same locations where memory is stored. #scilight Learn more 👇 aippub.org/4jdLqBy
For better computing, look at the brain

For better computing, look at the brain

Because of its centralization and adaptiveness, the human brain processes data in a way that can inspire future computing architectures.

pubs.aip.org
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APL Machine Learning is a proud sponsor of Symposium MT01 – Integrating AI-Assisted Computation and Experimentation for Autonomous Laboratories at #S25MRS! Learn more 👇 aippub.org/3EfCI6l
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We are so excited to share we have a new Associate Editor! Please join us in welcoming Mahshid Ahmadi, @Robo_Perovskite, to the editorial team! 👉 aippub.org/42fdazm
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Reminder ❗ This Special Topic, Machine Learning for Self-Driving Laboratories, is still open for submissions. Submit by February 26, 2025! Learn more 👇 aippub.org/47oT6Mf
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Editor-in-Chief of APL Machine Learning Adnan Mehonic shares his thoughts on the 2024 Nobel Prize in Physics! Learn more 👇 aippub.org/3YyC7Ee
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Our growing list of open access journals is a crucial part of our commitment to #OpenScience. As an OA journal, APL Machine Learning has a wide reach and broad audience. Read one of the most downloaded articles in @aplmachinelearn to celebrate #OAWeek! 👉 aippub.org/4faRLuY
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Congratulations to the winners of the @ECMLPKDD Workshop “Deep Learning Meets Neuromorphic Hardware" Best Poster Award 🏆, Sofie Studholme @UCNZ and Erik B. Terres-Escudero @deusto! Proudly sponsored by APL Machine Learning!
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📢 Call For Papers This Special Topic explores the transformative impact of machine learning in self-driving labs and closed-loop experimentation systems, highlighting advancements in AI-driven decision-making. Submit by February 26, 2025! Learn more 👇 aippub.org/47oT6Mf
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APL Machine Learning is proud to sponsor the Best Poster Award at the 7th @tyc_london #EnergyMaterials workshop: from data to discovery of new #energy #materials! Stay tuned for the announcement of the winner! 🏆 👉 aippub.org/4bOUBnu
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We are so excited to share we have a new Associate Editor! Please join us in welcoming @Milano_Gian! Learn more 👇 aippub.org/3R60i94
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Photovoltaic cells harness the renewable energy of sunlight for conversion into electricity. #Scilight Learn more 👇 aippub.org/44ssFDF
A more efficient, cost-effective way to harness renewable energy

A more efficient, cost-effective way to harness renewable energy

Machine learning-based method determines the optimal design for solar cells.

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APL Machine Learning Associate Editor Jie Xu will be presenting today at 1:45 PM PDT on #ElectronicPolymers at #S24MRS! Proudly sponsored by @aplmachinelearn 👉 aippub.org/3xIVa3T
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APL Machine Learning Associate Editor Jie Xu will be presenting tomorrow at 1:45 PM PDT on #ElectronicPolymers at #S24MRS! Proudly sponsored by @aplmachinelearn 👉 aippub.org/3xIVa3T
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We are beyond proud to share the good news - we've published our 100th article! Check out this milestone article, and all of the other fantastic #MachineLearning research published in @aplmachinelearn, for free as we're gold #openaccess! Learn more 👇 aippub.org/49nd0X9
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Reminder ❗ This Special Topic is still open for submissions! Submit by June 30, 2024. @Milano_Gian @gpedretti90 Learn more 👇 aippub.org/3Otsnpj
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Now Online! This collection highlights papers published in APL Machine Learning in 2023 that showcase well-documented data, code, and supplementary materials or provide comprehensive and structured background review. Learn more 👇 aippub.org/4a6hoLp
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