Thanks Roger,
Yes, Dill is very good. He’s not one of the flashy ones, like, e.g. Peter
Wolynes or some of the other high-profile Names. He has a solid kind of
workman-like style, but he knows a wide variety of foundation methods,
including some of the difficult ones like glass methods. The thing I
particularly appreciate about him is that, when something has gone far enough
along that it could be widely understood, but it seems like all the treatments
of it remain either obscure and convoluted, or trite and annoying, Dill will
write some good review that gets the main concepts straight and separates them
from distractions, lays them out in the right order and with the right goals,
and then says each of them in the correct way, instead of some dumb little
tropey quote that is going around.
Just now I am reading some of his older work on protein folding, where the
usual treatments are okay, but often seem maddening and sort of shallow in
their categories. Dill is a great relief to find, and I am lucky he worked in
that area (too!).
Eric
.
> On May 4, 2024, at 11:38 PM, Roger Critchlow wrote:
>
> My google news feed is generally infuriating, but then it redeems itself by
> finding something like this:
>
> Jonathan Asher Pachter, Ying-Jen Yang, and Ken A. Dill,
> https://www.nature.com/articles/s42254-024-00720-5, in Nature Reviews Physics.
>
>> Statistical physics relates the properties of macroscale systems to the
>> distributions of their microscale agents. Its central tool has been the
>> maximization of entropy, an equilibrium variational principle. Recent work
>> has sought extensions to non-equilibria: across processes of change both
>> fast and slow, in the Jarzynski equality and fluctuation relations and other
>> tools of stochastic thermodynamics, using large deviation theory or others.
>> When recognized as an inference principle, entropy maximization can be
>> generalized for non-equilibria and applied to path entropies rather than
>> state entropies, becoming the principle of maximum caliber, which we
>> emphasize in this Review. Our primary goal is to enhance crosstalk among
>> researchers working in disparate silos, comparing and contrasting different
>> approaches while pointing to common roots.
>
> There's a preprint from last October, too. https://arxiv.org/abs/2310.06070
>
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