Lithium−sulfur (Li−S) batteries offer higher energy densities than most reported lithium-ion batteries. However, our understanding of Li−S battery is still largely unknown at the level of the nanoscale. The structural properties of Li−S materials were investigated via molecular dynamics (MD) simulations using the ReaxFF force field. Several Li−S nanoparticles with different Li/S composition ratios (2:1 and 2:8) and various structures are studied. Our MD simulations show that among the four structures we constructed for Li 2 S 8 nanoparticles, the core−shell structure is the most thermodynamically stable one during the charging (delithiation) process. In contrast to bulk crystal Li 2 S, we find the presence of mixed lithium sulfide and polysulfide species are common features for these Li−S (Li 2 S, Li 2 S 8 ) nanoparticles. The complex distribution of these sulfide and polysulfide speciation are dictated by both stoichiometry and local atomic structures in the nanoparticle. These findings will provide insight into further development of functionalized lithium−sulfur cathodes.

Dynamic control over protein function is a central challenge in synthetic biology. To address this challenge, we describe the development of an integrated computational and experimental workflow to incorporate a metal-responsive chemical switch into proteins. Pairs of bipyridinylalanine (BpyAla) residues are genetically encoded into two structurally distinct enzymes, a serine protease and firefly luciferase, so that metal coordination biases the conformations of these enzymes, leading to reversible control of activity. Computational analysis and molecular dynamics simulations are used to rationally guide BpyAla placement, significantly reducing experimental workload, and cell-free protein synthesis coupled with high-throughput experimentation enable rapid prototyping of variants. Ultimately, this strategy yields enzymes with a robust 20-fold dynamic range in response to divalent metal salts over 24 on/off switches, demonstrating the potential of this approach. We envision that this strategy of genetically encoding chemical switches into enzymes will complement other protein engineering and synthetic biology efforts, enabling new opportunities for applications where precise regulation of protein function is critical.