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<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE84VVktNmtuUjFsX1NqbTh0Rkxfb2xPZUJRbHM3dUpVZFF3TWtYQkg2N2ZTVTBWZHJGWmtDTXVPTjVwRnozb19MeDJyM29oOEhaMmxSYmg2RFFmMFNSZWxz?oc=5" target="_blank">Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
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<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBQTTdIaFZDc1g2X3ZyQ1VKMDlUQk8xOGpQOUdacnFwSWszMTR5UW5laXExLXNVcW9rcnNLQW5RR2RjSmF2NmRlQ2hjb2ZlMzY2bndZNk1uRHZVZ0tNQU1r?oc=5" target="_blank">Physics-informed deep learning for robust trajectory prediction in automated driving</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE56TnZoUmpwMFVJbDUxR3cwM2szT3ZFeFlVZllTOUZ2TURkSXhVTzFGTnBTR3VRUDRPWXprb3VxaTJMbEhOb0hfSFhsaElGbkhZLURUZ1QzSjBob2pBQVFFcjdRekF6RExLbHRtdTU3UFJkRlFCX2QwZA?oc=5" target="_blank">Three‐Dimensional Crustal Deformation Analysis Using Physics‐Informed Deep Learning - Okazaki - 2026</a>&nbsp;&nbsp;<font color="#6f6f6f">AGU Publications</font>
<a href="https://news.google.com/rss/articles/CBMinwFBVV95cUxNUUZkUF9EZHEzNHdmR016dVFveEhuVzBlQXVVaDVyd3R6UXBUVTg1VEZPbVRFOHo0YWxVUnpqUEM4WUNGc0JPSXVwMkU5dmNnVHhNc3hqN24wS3NTRWVZWnR5TEhYSDZMQjBzTG5OUjBSV010WmRNajRlTFQ3dF8zQlNWQXBZdnVUVndPT2pYNTlyZ0dSV3FjRFdjRFZRWWs?oc=5" target="_blank">On the Possibility of Small Networks for Physics-Informed Learning</a>&nbsp;&nbsp;<font color="#6f6f6f">Towards Data Science</font>
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