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JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
https://doi.org/10.1007/s00775-025-02094-0
PERSPECTIVE
Iron‑sulfur clusters: the road to room temperature
Brighton A. Skeel1
· Daniel L. M. Suess1
Received: 7 October 2024 / Accepted: 4 January 2025 / Published online: 31 January 2025
© The Author(s) 2025
Abstract
Iron-sulfur proteins perform a wide variety of reactions central to the metabolisms of all living organisms. Foundational to
their reaction chemistry are the rich electronic structures of their constituent Fe-S clusters, which differ in important ways
from the active sites of mononuclear Fe enzymes. In this perspective, we summarize the essential electronic structure features that make Fe-S clusters unique, and point to the need for studies aimed at understanding the electronic basis for their
reactivity under physiological conditions. Specifically, at ambient temperature, both the ground state and a large number of
excited states are thermally populated, and thus a complete understanding of Fe-S cluster reactivity must take into account
the properties, energies, and reactivity patterns of these excited states. We highlight prior research toward characterizing
the low-energy excited states of Fe-S clusters that has established what is now a consensus model of these excited state
manifolds and the bonding interactions that give rise to them. In particular, we discuss the low-energy alternate spin states
and valence electron configurations that occur in Fe-S clusters of varying nuclearities, and finally suggest that there may be
unrecognized functional roles for these states.
Graphical abstract
Keywords Iron-sulfur proteins · Metalloenzymes · Electronic structure · Exchange coupling · Clusters
Abbreviations
Bn Benzyl
BS-DFT Broken-symmetry density functional theory
Et Ethyl
Cp Cyclopentadienyl
EPR Electron paramagnetic resonance
HDE Heisenberg double exchange
HiPIP High-potential iron protein
* Daniel L. M. Suess
suess@mit.edu
1
Department of Chemistry, Massachusetts Institute
of Technology, Cambridge, MA, USA
NMR Nuclear magnetic resonance
VT Variable-temperature
Introduction
It is becoming increasingly recognized that studies of biomolecules must focus on understanding or otherwise rationalizing their reactivity under the conditions in which they
perform their native functions. For Fe-S proteins in particular, doing so requires contending with the rich electronic
structures of Fe-S clusters at physiological temperatures,
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152
which remains a formidable task for both theorists and
experimentalists. Research thrusts in this area have been and
will continue to be guided by past work that has yielded the
contemporary picture of Fe-S cluster electronic structure,
and it is therefore useful to understand the historic arc of
research as it has led to this point. We sketch some essential
aspects of this history here.
The story begins in 1960 with Beinert’s observation of
a new kind of signal in the EPR spectra of certain reduced,
non-heme Fe-containing enzymes and enzymatic preparations [1, 2]. In the next few years, a number of these
enzymes, some of which had been given the classifier “ferredoxins,” were identified, and interest in their chemical composition had developed. In 1963, Rabinowitz described the
labile Fe content, as well as the presence of inorganic sulfide
and its content, in the clostridial ferredoxins [3, 4]. It was
noted that, oddly, there was a significant quantity of F
e2+
consistently observed, in spite of the fact that the protein
was isolated in what was nominally known to be the oxidized
state. Between this point and 1972, a series of publications
describing in more detail the electron paramagnetic resonance (EPR) [5, 6], Mössbauer [7], and nuclear magnetic
resonance (NMR) [8] spectra of the clostridial ferredoxins
appeared, each contributing to the growing set of constraints
the structure of the Fe-containing portion of the protein must
have satisfied. At this point, speculation as to the structure of
the Fe-S cofactors in these proteins began to appear [7, 8],
and although it was ultimately recognized that these early
proposed structures were incorrect, many of the essential
features predicted (i.e., the presence of Fe-cysteine bonds,
bridging inorganic sulfides, and tetrahedral Fe sites) were
accurate.
Simultaneously, work was being carried out on a more
diverse set of Fe-S proteins. In 1966, a pioneering interpretation of the EPR spectrum of the reduced spinach ferredoxin
(now known to be an [Fe2S2]1+ cluster) was published by
Gibson [9]. This work successfully rationalized the data in
terms of the ferredoxin’s metallocofactor being composed
of a pair of antiferromagnetically coupled, high-spin Fe2+
and Fe3+ ions; it was one of the first successful attempts at
understanding the electronic structure of a ferredoxin, and
is a standard model to this day. By this point, other classes
of Fe-S proteins had also been identified. Of note, several
so-called “high-potential iron proteins” (HiPIPs) from different organisms, distinguished by their significantly higher
midpoint redox potentials relative to the ferredoxins, had
been characterized in terms of their Fe and S content by
1967 [10], and by low-resolution X-ray diffraction in 1968
[11]. The latter indicated that all four Fe ions contained by
these HiPIPs were present in a single cluster, though further
structural information regarding the nature of this cluster
was elusive.
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
Finally, in 1972, an X-ray crystal structure of the C. pasteurianum ferredoxin was published [12]. The resolution of
the structure was sufficient to observe what was modeled
as a pair of cuboidal, [ Fe4S4] clusters, each bound by four
cysteine thiolates—a structural motif strikingly similar to
the cysteine thiolate-ligated [Fe4S4] cluster that had been
reported within the C. vinosum HiPIP the same year, also
obtained by X-ray diffraction [13]—suggesting the inorganic
Fe-S cluster motif may be common to multiple protein families. Trailing this pair of results by mere months, Holm published the first high-resolution structure of a cuboidal [Fe4S4]
cluster with the correct tetrahedral ligation of the Fe sites:
[Et4N]2[Fe4S4(SBn)4] (Bn = benzyl; Et = ethyl) [14]. The tetrahedral coordination of the Fe sites, and the valences of the
constituent Fe ions (two F
e2+ and two F
e3+ ions, formally),
distinguished this work from previous, related work by Dahl,
who had reported the preparation of Cp4Fe4S4 (Cp = cyclopentadienyl), an all-ferric [ Fe4S4] cluster containing locally
pseudo-octahedral Fe sites [15].
Holm’s publication of this structure can be viewed as a
turning point for the field of Fe-S cluster chemistry and in
synthetic modeling chemistry more generally. From here
onward, a sustained collaboration between biologists, chemists, physicists, and theorists developed, culminating in what
has become the interdisciplinary area of study that exists
today. Some of the critical experimental and theoretical
results that have emerged from these research thrusts and
that lie on “the road to room temperature” are summarized
in the following sections.
Essential aspects of Fe‑S cluster electronic
structure
Valences, antiferromagnetic coupling,
and spin‑dependent electron delocalization
A description of Fe-S clusters begins with their compositions: high-spin tetrahedral F
e2+ and Fe3+ ions, and bridging inorganic sulfide ions, S2− [16]. These restrictions
encompass the great majority of Fe-S clusters, with some
exceptions related to the valence distribution [17] and to
the coordination number (e.g., those with higher-coordinate Fe sites, such as is found in members of the radical
S-adenosylmethonine superfamily [18, 19], as well as rare
examples of clusters featuring lower-coordinate Fe sites [20,
21]). This definition also intentionally excludes certain compounds (such as the example given previously: C
p4Fe4S4)
[15] whose electronic properties are distinct from known
biological Fe-S clusters.
In biological systems, Fe-S clusters are found in protein
scaffolds and occur in varying nuclearities and topologies,
with the most common motifs being [Fe2S2]1+/2+ clusters,
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
153
Fig. 1 Most frequently encountered biological Fe-S cluster motifs. A [Fe2S2] clusters. B [Fe3S4] clusters. C [Fe4S4] clusters in ferredoxins. D
[Fe4S4] clusters in HiPIPs
Fig. 2 Two limiting valence and spin patterns for a representative
[Fe2S2]1+ cluster (upper) with the orbital interactions that favor either
configuration (lower). A Localized valences and spin anti-alignment
favored by sulfide-mediated antiferromagnetic superexchange. B
Mixed valency and spin alignment favored by double exchange. Note
that the orbital interactions depicted in both panels are examples of
multiple possible exchange pathways, of which several generally exist
open-cuboidal [Fe3S4]0/1+ clusters, and cuboidal [ Fe4S4]1+/2+
or [Fe4S4]2+/3+ clusters (e.g., in the previously discussed
ferredoxins and HiPIPs, respectively) (Fig. 1). Although
the characterization of reaction intermediates and models
thereof [22] continues to expand the number and types of
ligands bound to Fe-S clusters, we focus here on those found
in the resting-state structures. In such structures, cysteine
thiolates are the most common terminal ligands, but alternative amino acids [23] such as aspartate, glutamate, histidine,
serine [24], tyrosine [25], arginine [26], threonine [27], and
methionine [28], as well as solvent and small molecules,
have been shown to bind to one or, in certain [ Fe2S2] systems [29–31], two Fe sites. The most common alternative,
protein-derived ligands are carboxylates or histidine residues, with the remaining amino acids listed previously being
considerably rarer.
Two spin coupling mechanisms are ubiquitous in Fe-S
cluster chemistry: bridging sulfide-mediated superexchange
coupling (Fig. 2) and electron hopping between Fe sites,
in particular those of differing valence (pairs composed of
an Fe2+ and Fe3+ ion, specifically), which is termed spindependent electron delocalization (or “double-exchange”;
Fig. 2).
Superexchange interactions are generally described in the
Fe-S cluster literature using the Heisenberg Hamiltonian,
which gives the energy of a given total spin state S as a
function of the coupling J between the system’s constituent
spins, taken as the vector product between them. The prototypical effective Hamiltonian, defined for a two-spin system
with S�⃗ = S�⃗1 + S�⃗2 , is given by:
� Heis = J S�⃗1 ⋅ S�⃗2
H
(1)
Here, we take the convention where the factor multiplying S�⃗1 ⋅ S�⃗2 is given as J , but note that this factor can also be
given as −2J or −J . For this casting of the Heisenberg Hamiltonian, the relative energies of the spin states are given by
E=
J
S(S + 1)
2
(2)
and the values of S are given in terms of S1 and S2 by the
triangle inequality
|S1 − S2 | ≤ S ≤ |S1 + S2 |
(3)
154
It is then the case that antiferromagnetic coupling, which
favors low overall spin states and spin anti-alignment
between sites, occurs when J is positive, and ferromagnetic
coupling, which favors high spin states and spin alignment
between sites, occurs when J is negative.
Discussing cuboidal [ Fe4S4]n+ clusters as a representative
system, it is evident that the spin–spin interactions within
Fe-S clusters are phenomenologically antiferromagnetic
in nature when considered as a whole. In particular, the
overwhelming majority of clusters in their biologically relevant core charge states (n = 0, 1, 2, or 3) are either S = 0
([Fe4S4]2+ clusters) or S = 1∕2 ([Fe4S4]1+/3+ clusters) in their
ground states—the lowest possible spins attainable by coupling together pairs of high spin F
e2+ (individually S = 2 )
3+
and high spin Fe (individually S = 5∕2) [32–34]. Correspondingly, values for the superexchange coupling constant
J in Fe-S clusters (where they have been measured) are positive, and thus antiferromagnetic [32, 33, 35–37].
Double exchange is a more specific interaction within
Fe-S clusters in that, rather than acting between each pair
of Fe ions, it is typically only appreciably operative within
heterovalent pairs of Fe sites: namely, spin-aligned pairs of
e3+. This phenomenon may be described by conFe2+ and F
sidering a pair of spin-aligned F
e3+ ions and adding an electron to the system (or, equivalently, a pair of spin-aligned
Fe2+ ions and removing one electron). In this case, while
it is possible to add the electron entirely to one Fe center,
giving an F
e2+ and an Fe3+ ion, it may be more favorable
for the excess electron to be delocalized over the two sites,
giving rise to a pair of mixed-valence Fe2.5+ ions. The extent
to which this delocalized state is favored over the valencetrapped state is proportional to the extent to which the individual spin centers are coaligned, with parallel alignment
being the most favorable, and antiparallel alignment being
the least. That the extent of this stabilization is dependent
on the degree of site spin collinearity arises from favorable
exchange interactions between the itinerant electron and the
static electrons on each Fe site, which are maximized when
the spin moments on each site are aligned. Considering double exchange as an interaction between two metal-centered
orbitals, this interaction gives rise to an in-phase “bonding” and an out of phase “anti-bonding” set of orbitals (such
nomenclature being used only loosely), with the energy of
either state given by [38]:
)
(
1
Edoubleexchange = ±B S +
(4)
2
where the value B is the double exchange constant. Thus,
for larger values of S , the double exchange interaction is
more stabilizing.
The need for this term in describing the electronic structures of Fe-S clusters arose over time as mounting evidence
suggested that discreet pairs of Fe2+/Fe3+ ions were not
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
present in clusters with more than two Fe ions, but rather
that these Fe ions were equivalent (by, for instance, Mössbauer spectroscopy) in a pairwise fashion [36, 39–41]. On all
timescales measured so far [42], this electron delocalization,
as it exists in [ Fe4S4] clusters, may be considered class III
within the Robin-Day classification scheme [43]. This is not
true of all cluster topologies, with [Fe2S2]1+ clusters being
the notable exceptions (though examples with extensive
electron delocalization have been reported [44–46]). The
tendency toward valence localization in dinuclear systems
occurs because the stabilization brought about by double
exchange is typically less than the energy required to defeat
the antiferromagnetic superexchange interactions between
the two Fe centers, so these particular systems are most frequently valence-trapped (note that vibronic coupling effects
also play an important role in favoring valence trapped configurations [46]).
It is then the confluence of superexchange and double
exchange interactions that produce the ground states of
Fe-S clusters. These exchange coupling models and their
associated Hamiltonians have been extensively discussed
elsewhere [33, 39, 41, 47], and it is more useful for our
purposes to sketch a simple, qualitative picture of their
essential features, here for the specific case of the ubiquitous cuboidal [Fe4S4] cluster topology. When discussing the
electronic structure picture of a cuboidal [Fe4S4] cluster, one
most commonly works within the so-called “pair-of-pairs”
framework (the Heisenberg double exchange (“HDE”) Hamiltonian), in which the good quantum numbers describing
the system are:
• the site spins, S1, S2 , S3, and S4 , each describing the spin
quantum number of one Fe site, numbered 1–4,
• the spins of two pairs of Fe ions, S12 and S34, correspond-
ing to the spin quantum numbers of the pairs defined as
Fe1-Fe2 and Fe3-Fe4, and
• the total spin of the cluster, S.
The quantum numbers listed above are good quantum
numbers in the pair-of-pairs model on account of symmetry
constraints imposed on the nature of the intracluster Fe–Fe
interactions. In the general case, where all Fe–Fe interactions
may differ, only the site spins and total spin are required to
be good quantum numbers. This model Hamiltonian has several appealing properties, two important ones being that it is
sufficiently complex to capture much of the essential physics
of [Fe4S4] systems, and that it has chemically meaningful
analytic solutions. Further, as this Hamiltonian retains two
good intermediate spin quantum numbers, any given cluster
spin state may be succinctly described using the notation
�S1 S2 S3 S4 S12 S34 S⟩, which is frequently shortened to
the �S12 S34 S⟩, where the spins of the individual sites are
implied.
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
155
Fig. 3 Ground state spin and valence pictures for some common [ Fe4S4] charge states. A Depiction of the �9∕2 9∕2 0⟩ spin state for the [Fe4S4]2+
cluster charge state. B Depiction of the �4 9∕2 1∕2⟩ spin state for the reduced, [Fe4S4]1+ cluster charge state
The ground state for [Fe4S4]2+ clusters in this notation
is, with exceedingly rare exceptions [48], �9∕2 9∕2 0⟩,
which is to say the cluster is composed of two magnetically equivalent, spin-aligned pairs of high-spin Fe2+ and
Fe3+ ions (Fig. 3A). Within these spin-aligned pairs, the
double exchange interaction is strong, and the valences are
best described as F
e2.5+, so overall the cluster is composed
2.5+
of 2 × 2 × Fe
ions. While the spin alignment that occurs
within each of these pairs may seem unfavorable in light of
the antiferromagnetic coupling between individual sites, it is
favorable in the global sense that this configuration satisfies
four other antiferromagnetic interactions between Fe sites
in different pairs. The additional factor of double exchange
stabilizes this particular ground state further.
In the reduced, [ Fe4S4]1+ state, the typical ground state is
given by �4 9∕2 1∕2⟩, where again there is a mixed-valence
pair of Fe ions (sites 3 and 4), but now also a pair of spinaligned ferrous ions (sites 1 and 2) between which there is
no meaningful double-exchange interaction (Fig. 3B). Thus,
the valence picture of these clusters is given as 2 × Fe2+ and
2 × Fe2.5+. A similar valence picture holds for the oxidized
[Fe4S4]3+ state, where there are 2 × Fe3+ and 2 × Fe2.5+ ions,
with the caveat that rather than adopting maximal alignment of spins within each pair of Fe ions (which would be
the �5 9∕2 1∕2⟩ state for sites 1 and 2 being the ferric ions
and sites 3 and 4 being the mixed-valent ions), some degree
of spin canting occurs in the ground states of these clusters, which have been described as either �4 9∕2 1∕2⟩ or
�3 7∕2 1∕2⟩ [32, 49]. (Note that such states involving spin
canting are not so straightforwardly depicted using the kinds
of spin vector representations invoked in Figs. 2 and 3.) The
most relevant feature here is that the magnitude of the spin
for the ferric pair is smaller than that of the mixed-valence
pair, an observation first noted when the pair-specific 57Fe
hyperfine tensors determined by magnetic Mössbauer spectroscopy of the oxidized clusters were reported [32, 50].
The low‑energy excited states of Fe‑S clusters
The previous section dealt entirely with models describing
the ground states of Fe-S clusters. Determining the ground
Fig. 4 Valence isomer states for different Fe-S cluster topologies. A
Two valence localized valence isomer states for an [Fe2S2]1+ cluster.
B Three valence isomer states for an [Fe3S4]0 cluster. C Six valence
isomer states for an [Fe4S4]1+ cluster; note that [Fe4S4]3+ clusters
retain the same pattern of valence isomer states but with Fe3+ ions in
place of F
e2+ ions. Shaded rhombs indicate spin-aligned pairs of Fe
centers
state picture for these systems has been one of the great
successes of the field, but it must be pointed out that for a
[Fe4S4]1+ cluster, even the simple HDE Hamiltonian produces a total of 180 different spin states, many of which
are low in energy. Further, computational work suggests
this is a gross underestimate of the density of excited states
in these systems [51]. The thermal population of excited
states is easily inferred by, for instance, considering the
156
room temperature magnetic moments of [Fe4S4]1+ clusters,
which typically span a range between 3 and 4.5 Bohr magnetons [33, 52–55]—far higher than the spin-only value
expected for the ground state spin of S = 1∕2 (1.73 Bohr
magnetons). This implies the very significant population
of excited states with total spin greater than S = 1∕2 , and
that a significant number of the 179 excited states predicted
by the HDE model must be, in fact, thermally accessible.
Complicating matters further, in Fe-S clusters containing
more than one formal Fe valence (e.g., the Fe2+ and F
e2.5+ in
1+
[Fe4S4] clusters), there exist multiple spatial arrangements
of the valences (“valence isomers,” also called “electronic
isomers” or “electromers;” Fig. 4) each of which is associated with its own spin ladder. The identity of the ground
state valence electron distribution, and how well isolated this
particular configuration is, has been discussed for a variety
of cluster topologies, including the [Fe2S2]1+, [Fe3S4]0, and
[Fe4S4]1+/3+ states [56–60], and we have recently quantitatively evaluated the energetic separation of valence isomers
in [Fe4S4]1+ clusters and determined its dependency on the
identity of a cluster’s ligands [37].
This measurable depopulation of the ground state at and
around room-temperature is profoundly important (and presumably even more so for hyperthermophilic organisms),
and brings with it the possibility that the excited states of
these Fe-S cluster systems may directly bear on their roomtemperature reactivity properties. The topic of excited states
is also one of historic importance, and there has been, in
general, a great deal of interest in describing the nature and
energies of Fe-S cluster excited states. These lines of inquiry
can be classified as either experimental or theoretical in
nature, which we discuss separately below.
Experimental work describing the excited states of
Fe-S clusters generally takes one of two approaches. The
first approach entails imposing a model exchange coupling
Hamiltonian on the system, fitting the relevant Hamiltonian
parameters, and then computing the energies and properties
of the excited states as given by the spin eigenfunctions and
associated energies of the model Hamiltonian (i.e., a modelbased approach). The second approach supposes the presence of one or more excited states and assumes some aspect
of their properties (e.g., the multiplicity of the excited state,
its local spin projections, etc.) as relevant to the method of
measurement employed, and then attempts to determine the
energies of these states (i.e., a model-agnostic approach).
The first approach has the advantage of predicting more
complete sets of states by extrapolating from the physics
known to dominate in the ground state, but has the disadvantage that these models (e.g., the HDE Hamiltonian) may
not fully describe the system. The second approach has the
advantage of not being reliant upon an exchange coupling
model that may or may not be suitable, with the significant
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
drawback that only a limited number of states may be practically considered.
Speaking now specifically of studies on [Fe4S4] systems,
quantitative model-based approaches have mostly centered
on the use of magnetometry data as the observable [33, 35],
sometimes supplemented with variable-temperature (VT)
near-infrared absorption spectroscopy data [61]. High-symmetry systems have also been studied quantitatively using
VT solid-state NMR spectroscopy [62], and work in our own
lab has extended these ideas to lower symmetry systems by
considering magnetometry and VT NMR data simultaneously [37]. This approach has opened the door to quantifying the energies—and thus the populations—of alternate
spin and valence isomer states at room temperature. These
quantitative studies have, to date, universally been conducted
using synthetic [Fe4S4] compounds. Related descriptions of
the excited state properties of Fe-S proteins, particularly as
applied to the valence isomer problem, have made abundant use of both solution VT NMR and frozen-solution EPR
spectroscopy [58, 63–65].
Model-independent approaches to describing the excited
states of Fe-S clusters are, in general, less commonly
employed, but have been applied to both synthetic [33, 35]
and biological [66] systems, making use of either magnetometry data or variable temperature EPR. Magnetometry,
in this application, has been used to identify the presence of
several different spin states and their energies, whereas EPR
spectroscopy has been used to identify the energy of a single excited state. The latter relies on assumptions about the
dominant mechanism for electron spin relaxation in the system at hand, namely that the Orbach mechanism is operative.
Beyond experimental methods, the electronic structures
of Fe-S clusters have attracted a great deal of attention from
theorists, and have been the subject of many computational
investigations. Early work in the area made use of either
unrestricted Hartree–Fock or Xα methods [67, 68]. The latter
was an early variant of what soon became known as modern
broken-symmetry density functional theory (BS-DFT) [69],
which is the most common tool employed for computationally describing the electronic structures of Fe-S clusters at
present [70]. While single-determinant BS-DFT is useful in
general for studying Fe-S clusters, it is ultimately incapable
of describing the multiconfigurational electronic structures
of these systems, and in recent years there has been increasing impetus for the application of post-wavefunction methods to better understand Fe-S cluster properties. A number
of these studies have appeared [51, 71–73] and, while all are
promising, it remains the case (at least for the time being)
that these methods are often too computationally expensive
for widespread deployment, particularly when considering
Fe-S clusters of higher nuclearity [73]. Common to all of
these computational methods is an ability to predict (with
varying degrees of granularity) a great deal of information
JBIC Journal of Biological Inorganic Chemistry (2025) 30:151–159
pertaining to the properties of Fe-S cluster excited states. Of
particular importance, computational methods may generally be used to compute parameters that appear in familiar experimental models, such as superexchange coupling
values.
Looking forward: functional roles for excited
states?
The large number of thermally sampled, low-energy excited
states in Fe-S clusters makes it particularly enticing to consider what role such excited states may play in dictating
the reactivities of these metallocofactors. To date, much of
the work toward this end has remained within the purview
of theory, as reliable experimental pictures of the excited
states of Fe-S clusters are sparse and not generally available for protein systems where reactivity patterns are of
greatest interest. Early theory work in this area considered
the possibility of excited-state regulation of electron transfer reactions, particularly in context of the spin states of
these excited states [74, 75]. More recently, studies [76–78]
employing density functional theory have examined the role
of valence and spin distribution in controlling radical chemistry in radical S-adenosylmethionine catalysis, particularly
with respect to the generation and reactivity of organometallic intermediates [79, 80]. As our collective understanding
of the excited-state landscapes of Fe-S clusters expands, we
anticipate that new links between electronic structure and
reactivity will be made. These developments will require
studies that experimentally link low-temperature electronic
structure information to electronic structure attributes at
ambient temperature. The road to room temperature is clear,
and we now need only the studies to drive us there.
Authors’ contributions B.S. and D.S. conceptualized the work. B.S.
wrote the first draft. B.S. and D.S. edited and revised the manuscript.
Both authors have reviewed the manuscript.
Funding ’Open Access funding provided by the MIT Libraries’. This
work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Division of Chemical Sciences,
Geosciences, and Biosciences under Award no. DE-SC0020974. B.A.S.
acknowledges fellowships from the National Science Foundation
(Graduate Research Fellowship #2141064) and MathWorks. D.L.M.S.
acknowledges support from the Camille and Henry Dreyfus Foundation
(award no. TC-22-005) and the Alfred P. Sloan Foundation (award no.
FG-2022-18423).
Availability of data and materials No datasets were generated or analysed during the current study.
Declarations
Ethical approval Not applicable.
157
Conflict of interests The authors declare no competing interests.
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