render equations in markdown files#1721
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wanghan-iapcm merged 11 commits intodeepmodeling:develfrom May 21, 2022
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## devel #1721 +/- ##
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Coverage 76.11% 76.11%
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wanghan-iapcm
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May 20, 2022
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| where $L_e$, $L_f$, and $L_v$ denote the loss in energy, force and virial, respectively. $p_e$, $p_f$, and $p_v$ give the prefactors of the energy, force and virial losses. The prefectors may not be a constant, rather it changes linearly with the learning rate. Taking the force prefactor for example, at training step $t$, it is given by | ||
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| $$p_f(t) = p_f^0 \frac{ \alpha(t) }{ \alpha(0) } + p_f^\infty ( 1 - \frac{ \alpha(t) }{ \alpha(0) })$$ |
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We shall tell the user start_pref_f, and so on..
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or we do not use latex math here.
| where `t` is the training step. | ||
| * During the training, the learning rate decays exponentially from `start_lr` to `stop_lr` following the formula: | ||
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| $$ \alpha(t) = \alpha_0 \lambda ^ { t / \tau } $$ |
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Again we shell tell the user start_lr. Or we do not use latex math.
mingzhong15
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Jan 15, 2023
* render equations in markdown files * enable dollarmath in the sphinx * fix Angstrom sybol; it's not supported by mathjax * fix equations of the learning rate * fix equations * fix equations * fix equations * fix equations * Update lammps-command.md * use \cdots for ... * add the detailed keys
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See https://github.blog/changelog/2022-05-19-render-mathematical-expressions-in-markdown/