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# jemdoc: menu{MENU}{sciml.html}, nofooter
= Yao Zhang - Scientific Machine Learning, SciML
\n
Scientific Machine Learning (SciML) is a rapidly emerging discipline within the data science community, aimed at addressing domain-specific data challenges and deriving insights from scientific datasets through innovative methodologies. By integrating tools from both machine learning and scientific computing, SciML develops scalable, domain-aware, robust, reliable, and interpretable approaches for data analysis and learning. These advancements are poised to fuel the next wave of data-driven scientific breakthroughs, particularly in the physical and engineering sciences. Like scientific computing, SciML is inherently multidisciplinary, drawing upon expertise in applied and computational mathematics, computer science, and the physical sciences to tackle complex problems.
\n
== Machine Learning
== Deep Learning
- [https://mp.weixin.qq.com/s/Nupmr_Gkt3NgzK3KIT0W6g 01] ~~ [https://mp.weixin.qq.com/s/QlrIPAjeGBQRB4qQxAjx_g 02] ~~ [https://mp.weixin.qq.com/s/ctSIluclzzaQFPLFm9qe9A 03] ~~ [https://mp.weixin.qq.com/s/6FhR920EJCcW4mYhgOVRZg 04] ~~ [https://mp.weixin.qq.com/s/DGWJ6kn1K-6utwNDlpoeYA 05] ~~ [https://mp.weixin.qq.com/s/b47HqpSeTFzmWl5S2KX9uQ 06] ~~ [https://mp.weixin.qq.com/s/UJGnsQ3IgQnbRzw2WJ0MmA 07] ~~ [https://mp.weixin.qq.com/s/AW5XlA7NpVhk5cLaus_HxQ 08] ~~ [https://mp.weixin.qq.com/s/ywGVGb0GIwea68X9xpy9kQ 09] ~~ [https://mp.weixin.qq.com/s/E5yqN8LCqBYHickAYByAcA 10] ~~ [https://mp.weixin.qq.com/s/wvN1bVnQyQbK5Gfl6lU4aw 11] ~~ [https://mp.weixin.qq.com/s/_UYa6gsVOTWA7pz0XcJs7Q 12] ~~ [https://mp.weixin.qq.com/s/QOH_jtas_RiHlkmhhL-5mw 13] ~~ [https://mp.weixin.qq.com/s/1GDyN51E2ZwGHfSSqwYOkg 14] ~~ [https://mp.weixin.qq.com/s/LiszbY84z_RDn-6YPt7-_A 15] ~~ [https://mp.weixin.qq.com/s/1W2rGTz6xQZArZl4Rbm51g 16] ~~ [https://mp.weixin.qq.com/s/8Skz7QIDYhhItIeaEUZACQ 17] ~~ [https://mp.weixin.qq.com/s/RPIULvPIIf5Bx6jKRQh5HQ 18] ~~ [https://mp.weixin.qq.com/s/rLrTbMZ-A6hpwhFDOh-BEw 19] ~~ [https://mp.weixin.qq.com/s/C0lMqLzGzBE9Qe_HKh--Nw 20] ~~ [https://mp.weixin.qq.com/s/s_J6tZ27TsQG04uDzXeJtQ 21] ~~ [https://mp.weixin.qq.com/s/4SfHs4ag2-jEd2JjMLPqZg 22] ~~ [https://mp.weixin.qq.com/s/3NWXnXx29PuEgg2VaIz9ug 23] ~~ [https://mp.weixin.qq.com/s/jiTrLShvru2whSHYmTICYQ 24] ~~~ [https://mp.weixin.qq.com/s/q3wsduFKBDSg2G3dMjX7ew 25] ~~ [https://mp.weixin.qq.com/s/3YhTpgon0VX4x0tmr_lPhA 26] ~~ [https://mp.weixin.qq.com/s/B8qWCLoPBECRlHw168g9yw 27]
== Artificial Intelligence in the Sciences and Engineering
. Introduction to deep learning
. Importance of partial differential equations in sciences
. Physics-informed neural networks
. Operator learning
. Diffusion models
. Differentiable physics
. Hybrid workflows
. Neural differnetial equation
. Introduction to JAX
. Symbolic regression and equation discovery
. Machine learning in chemistry and biology
- [https://mp.weixin.qq.com/s/peLDjFcKAms2OSYEW-QTUQ 01] ~~ [https://mp.weixin.qq.com/s/k2oBXSdndbv7LCpBWyii_Q 02] ~~ [https://mp.weixin.qq.com/s/elQEUu28018JML1J344Saw 03] ~~ [https://mp.weixin.qq.com/s/dzyGdIPqa3Fe6dj7-XrRTQ 04] ~~ [https://mp.weixin.qq.com/s/V_x5TRNfSHMHHR2prPtTzg 05] ~~ [https://mp.weixin.qq.com/s/nUwwJQ1q13umuApQKw-3hQ 06] ~~ [https://mp.weixin.qq.com/s/L4aAOqQWPeHapR03vqsbHQ 07] ~~ [https://mp.weixin.qq.com/s/aIWq1tTRzkU8TQHyEVvQXg 08] ~~ [https://mp.weixin.qq.com/s/KKC-W8kjcxvBKOiNQM3Rfw 09] ~~ [https://mp.weixin.qq.com/s/mAJqg5E7r6FiUnjgWXttbA 10] ~~ [https://mp.weixin.qq.com/s/RshB8MDV6rGmDG__DWi0ww 11] ~~ [https://mp.weixin.qq.com/s/_HY-kqIO8gaQ4t5mcdOnHQ 12] ~~ [https://mp.weixin.qq.com/s/j02ELTKAaTvPOsHPxj_VTg 13] ~~ [https://mp.weixin.qq.com/s/HGtcSgcps_MLjMLxMVRQhQ 14] ~~ [https://mp.weixin.qq.com/s/tefcHnFmoxrFwflSKcvsKA 15] ~~ [https://mp.weixin.qq.com/s/yvXqTZPhyRWsnEo2WeBdLQ 16] ~~ [https://mp.weixin.qq.com/s/UCcNZrTD6fK49SeU9ooeUg 17] ~~ [https://mp.weixin.qq.com/s/xs-BTuKar035juF3CoLH7w 18] ~~ [https://mp.weixin.qq.com/s/2M_5BCIo24fV7_6-rgn6tg 19] ~~ [https://mp.weixin.qq.com/s/8bT-4WIsEdpJmYf0wIZ7xA 20] ~~ [https://mp.weixin.qq.com/s/O1f0RPK5VPOGscipbsIuEg 21] ~~ [https://mp.weixin.qq.com/s/uhEZEl0UqRmHk4O6b0vElg 22] ~~ [https://mp.weixin.qq.com/s/U2pAeVE85Uxeql2Ik9YSAw 23] ~~ [https://mp.weixin.qq.com/s/27d-MhZvbRfhxiENHc5TwQ 24] ~~ [https://mp.weixin.qq.com/s/AgnXkyt6VP_2OwLQWuPJIA 25] ~~ [https://mp.weixin.qq.com/s/CoadAgFtIPVvh_68i5m7lw 26]
== Optimization Methods for Machine Learning
- [https://mp.weixin.qq.com/s/Rhtcgr0aLlKjXgilQkmYtQ 01] ~~ [https://mp.weixin.qq.com/s/EAy6SK4z8l1hl4NFxeBMRA 02] ~~ [https://mp.weixin.qq.com/s/A7cKGoDCCjOw2mf3Wl5LSA 03] ~~ [https://mp.weixin.qq.com/s/2rZOlfLajdDjLAEWwcsBug 04] ~~ [https://mp.weixin.qq.com/s/xiAgh3ZXO8Aebfkqv68O2Q 05] ~~ [https://mp.weixin.qq.com/s/tl1q1UKoq6BXWMzihlWpBg 06] ~~ [https://mp.weixin.qq.com/s/ta8twwi6XF9U_-de0YyEDQ 07] ~~ [https://mp.weixin.qq.com/s/NYhZRmIEEkkYw7r1-XxhmA 08] ~~ [https://mp.weixin.qq.com/s/pwaNw8NyuXUYOFVjYsEDKw 09] ~~ [https://mp.weixin.qq.com/s/rlNGhpPs-3AO01PXvL-6Lg 10] ~~ [https://mp.weixin.qq.com/s/3YkRg5H93ID4syf53_cD_w 11] ~~ [https://mp.weixin.qq.com/s/wBPE93qAMpv3Nl0KrjcFSQ 12] ~~ [https://mp.weixin.qq.com/s/K7e8SDKgWuiUCRuiqqqwkA 13] ~~ [https://mp.weixin.qq.com/s/JFR2xTcd6Fu4C1oMV_BWEg 14] ~~ [https://mp.weixin.qq.com/s/wbpyVEklON4S6tJqjrXJPQ 15] ~~ [https://mp.weixin.qq.com/s/MsDqAS0PKjmHi8Nu_b0dMA 16]
== Numerical Analyis Meets Maching Learning
A highly recommended reading is the Handbook of Numerical Analysis, Volume 25: [https://www.sciencedirect.com/handbook/handbook-of-numerical-analysis/vol/25/suppl/C Numerical Analysis Meets Machine Learning]. The content covered is as follows:
\n
- [./doc/book/NAM2L/Chapt01.pdf 01] ~~ [./doc/book/NAM2L/Chapt02.pdf 02] ~~ [./doc/book/NAM2L/Chapt03.pdf 03] ~~ [./doc/book/NAM2L/Chapt04.pdf 04] ~~ [./doc/book/NAM2L/Chapt05.pdf 05] ~~ [./doc/book/NAM2L/Chapt06.pdf 06] ~~ [./doc/book/NAM2L/Chapt07.pdf 07] ~~ [./doc/book/NAM2L/Chapt08.pdf 08] ~~ [./doc/book/NAM2L/Chapt09.pdf 09] ~~ [./doc/book/NAM2L/Chapt10.pdf 10] ~~ [./doc/book/NAM2L/Chapt11.pdf 11]
== Tips
- [./doc/note/Tips/tips4linux.pdf Tips for Linux] ~ [./doc/note/Tips/tips4github.pdf Tips for github] ~ [./doc/note/Tips/tips4vimtex.pdf Tips for Vimtex] ~ [./doc/note/Tips/Tips4installapp.pdf Tips for Ubuntu]