
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
ID: 1501574622298394628
http://publishing.aip.org/apl-machine-learning 09-03-2022 15:07:07
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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 APL Machine Learning π aippub.org/3xIVa3T


APL Machine Learning Associate Editor Jie Xu will be presenting today at 1:45 PM PDT on #ElectronicPolymers at #S24MRS! Proudly sponsored by APL Machine Learning π aippub.org/3xIVa3T



We are so excited to share we have a new Associate Editor! Please join us in welcoming Gianluca Milano! Learn more π aippub.org/3R60i94

Follow our new dedicated handle for gold #OpenAccess journal #APLElectronicDevices from AIP Publishing! π Youβll get the latest in #ElectronicDevices research & journal news here. Proud to be part of the #AIP_APL family of journals! Kar-Narayan Lab

APL Machine Learning is proud to sponsor the Best Poster Award at the 7th Thomas Young Centre #EnergyMaterials workshop: from data to discovery of new #energy #materials! Stay tuned for the announcement of the winner! π π aippub.org/4bOUBnu



Congratulations to the winners of the ECML PKDD Workshop βDeep Learning Meets Neuromorphic Hardware" Best Poster Award π, Sofie Studholme University of Canterbury and Erik B. Terres-Escudero Universidad Deusto - Deustuko Unibertsitatea! Proudly sponsored by APL Machine Learning!




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 APL Machine Learning to celebrate #OAWeek! π aippub.org/4faRLuY



We are so excited to share we have a new Associate Editor! Please join us in welcoming Mahshid Ahmadi, Mahshid Ahmadi, to the editorial team! π aippub.org/42fdazm





π¦ Author Spotlight: Esteemed APL Machine Learning author & editorial advisory board member, Markus J. Buehler, shares his insight behind the paper which has been incorporated into the #HuggingFace #codebase Learn more π aippub.org/434VR4M

