Detailed molecular picture of tooth enamel reveals adaptions to diets, Gilbert and colleagues find

graph that shows evolution of enamel as diet changes
Hominin dentitions have changed in relation to dietary changes over the past 10 million years. Compared with the earliest hominins, modern humans have less robust jaws, smaller posterior teeth and thinner enamel. At the nanoscale (10 nm), modern humans have more misoriented enamel than the earliest hominins, as reported here in magenta.

From chewing to chomping to grinding, teeth suffer from a lifetime of repeated mechanical stress. It makes sense, then, that enamel is one of the hardest natural materials. University of Wisconsin–Madison physics professor Pupa Gilbert and colleagues previously showed that the hydroxyapatite nanocrystals that make up enamel are arranged perfectly parallel to one another, like hairs in a ponytail, but their crystal lattices are not co-oriented — a structure that contributes to the biomaterial’s resistance to fracture, also known as toughness.

In a new study published on June 3 in the journal Nature, Gilbert and her colleagues developed a technique to quantitively measure enamel nanocrystal orientation angles across human and non-human primate enamel from different epochs, finding a strong correlation between how tough food is and the misorientation angle. The results help explain enamel evolution and have implications for modulating strength in bioinspired materials.

“Our work demonstrates that the misorientation of adjacent nanocrystals in enamel correlates very strongly with the hardness of food that primates eat,” Gilbert says. “Overall, the misorientation angles measured were small, all falling between 1.3 and 7.2 degrees, which makes sense with our earlier work where we found that small misorientation angles between thin, long, morphologically parallel nanocrystals deflect cracks and therefore toughen enamel.”

In all primates, enamel is arranged into 5-micrometer-wide bundles of elongated ~50-nanometer-wide hydroxyapatite nanocrystals. When grown synthetically, hydroxyapatite nanocrystals grow as needles, and they always have the crystalline axis along the long axis of the crystal. In enamel they do not.

Gilbert’s new work uses a new technique she developed, called PELICAN, that displays crystal orientations quantitatively and precisely measures the misorientation of adjacent nanocrystals. This technique allows the researchers to measure the misorientation angle of one nanocrystal relative to eight neighboring crystals, with nine million angles per area. They display the data in false-colored PELICAN maps where different colors represent the range of angles, and they make histograms of the frequency of each misorientation angle.

The researchers first compared enamel structure from non-human primates, including currently living and fossilized species whose diets range from soft fruit to hard seeds and nuts. The data show a clear increase in adjacent nanocrystal misorientation angles as the primates’ food hardness increases — with a nearly six-fold increase from ripe fruit to nutshells, from 1.3 to 7.2 degrees.

Next, they looked at primates in the human lineage, first comparing three species that lived at the same time and in the same region, ~1.6 million years ago in Kenya, but ate no meat, some meat, or mostly meat. They found that the non-meat-eater had lower misorientation angles compared to the meat eaters — 2.1 to 3-3.5 degrees — with no statistical difference between the meat eaters. Their next comparison was between Homo sapiens (paleolithic and modern humans) from before (~40,000 years ago) and after (1550 and 700 years ago) the switch to agriculture, where food in general is softer, yet they still saw an increase in crystal misorientation. However, Gilbert’s anthropologist co-author Mackie O’Hara notes that stone grinding introduced stone grit into food, making it harder and abrasive at the microscale. As in non-human primates, a general trend emerges that harder or tougher food is associated with larger misorientation angles of adjacent enamel nanocrystals.

measurements that show misorientation of enamel nanocrystals
The consumption of meat in hominin diets correlates with an increase in misorientation angle. PELICAN maps of the occlusal enamel region from P. boisei (Pb; no meat; a), H.erectus (He; regular meat consumption; b) and H. habilis (Hh; occasional meat consumption; c).

Lastly, they looked at a modern human sample from 50 years ago, about 200 years after the Industrial Revolution when diets became much softer. Nanocrystal misorientation still went up slightly relative to the two post-agriculture Medieval samples, but the increase was not statistically significant, thus, the Industrial Revolution did not affect enamel nanostructure. Gilbert acknowledges that more research is needed to understand why misorientation angles did not decrease. One idea is that enamel adapts and evolves on a timescale greater than a few hundred years; another is that enamel is but one variable in the overall picture.

“The enamel nanostructure is only one component of a complex set of changes,” Gilbert says. “Our brains grew significantly in the last 2 million years, our jaws shrank in the last 12,000 years, we developed language, and many other changes occurred over human evolution. Even beyond genetic changes, physical characteristics change all the time, for example, crowding of the teeth toward the front of the mouth didn’t happen until after the Industrial Revolution.”

Overall, Gilbert and her team’s work suggests that primates have evolved to protect their teeth with stronger enamel as food becomes tougher. The team has not nailed down the exact misorientation angle at which maximum protection can occur, but the 1.3-7.2 degrees they measured in this study fits nicely within what materials scientists call low-angle grain boundaries, typically lower than 10-15 degrees.

“These results could also be harnessed for the synthesis of new materials that resist fracture with small misorientation of adjacent nanocrystals, such as self-assembling spherulites” Gilbert says.

Adam Distler, Physics and Astronomy alumni wins the prestigious Hertz Fellowship!

Headshot of Adam Distler

Adam Distler, a 2024 UW–Madison graduate, has been named one of the 2026 Hertz Fellows.

As the Hertz Foundation describes it: “The Hertz Fellowship provides financial and lifelong professional support for the nation’s most promising doctoral students in the applied sciences, engineering and mathematics. Awarded through a rigorous selection process honed over seven decades, Hertz Fellows receive up to five years of funding and join an influential community dedicated to solving our most pressing challenges.”

Originally from Minnesota, Adam was a physics undergraduate at UW–Madison, where he also completed majors in Astronomy-Physics and Mathematics. He worked with Professor Melinda Soares-Furtado, co-authoring two papers before beginning his doctoral studies at Harvard, and is also completing projects with Professors Juliette Becker and Nicholas Stone.

2026-hertz-fellows

In search of new particles like the Higgs Boson

Could there be more particles like the Higgs boson? For the first time, the CMS experiment has searched for the decay of the Higgs boson into two more Higgs-boson-like particles with unequal masses.

Written by: Ashling Quinn ’23 and Anagha Aravind (physics PhD student), originally published by the CMS Collaboration

Some theories suggest that the Higgs boson might occasionally decay into particles that have never been seen before and have Higgs-boson-like properties. These new particles are unstable and quickly decay to known Standard Model particles in the CMS detector. While past CMS results have explored scenarios where the Higgs boson decays to such short-lived particles of identical masses, in this study we searched for a new possibility: what if the Higgs boson decays into two different new particles instead of two identical ones?

Calling the new particles ɸ1 and ϕ2 (ϕ2 is the heavier one), we consider cases where one of the ɸ decays to two bottom quarks, and the other decays to two 𝜏 leptons. This final state is favourable, since it has a relatively large probability of occurring and can be used to select interesting signal-like events from our datasets.

If the ϕ2 particle is at least twice as heavy as ϕ1, it could decay into an intermediate state with two ϕ1 before these decay into Standard Model particles. “We call this ‘cascade’ decay,” says Ashling Quinn, a PhD student working on the analysis,  “since the extra step makes it resemble a waterfall.” So the decays can look like: H→ ɸ1ϕ2 → 2𝜏2b (non-cascade) or H→ ɸ1ϕ2 → 2𝜏4b (cascade). These are shown in the figure below.

particle decay schematic
Schematic (Feynman) diagrams depicting cascade (left) and non-cascade (right) decays of the Higgs boson into new Higgs-boson-like particles.

The strategy of this search is to reconstruct the decay of the ɸ1 boson into two 𝜏 leptons and to obtain the ɸ1 mass distribution. The presence of the ɸ1 signal is expected to appear as a peak on top of a flat background distribution.

To enhance the separation between signal and background events, we trained a machine learning model with several kinematic distributions as input. Another PhD student, Anagha Aravind, describes how this works: “Since the ɸ bosons have relatively low mass, their final state will be collimated in a narrow cone. The machine learning model exploits this feature, along with other subtle differences, to classify events as either signal or background.”

No significant excess of events was observed in the mass distribution. Upper limits were extracted on the rates – or “cross section” – of the considered processes for a range of ɸ1, ϕ2 boson masses. These results provide valuable constraints on theoretical models predicting such signatures and help guide future theoretical and experimental efforts.

heatmap graph showing the processes described in the caption
Upper limits on the rates – or “cross section” – of the considered processes. Mass of the lighter new particle ɸ1 on the x-axis and the heavier ɸ2 on the y-axis.

This was the first search within the CMS Collaboration for Higgs boson decays into two Higgs-boson-like particles with unequal masses. The results pave the way for a promising future: the dominant source of uncertainty was statistical, which means more data from Run 3 and the High-Luminosity LHC will improve the sensitivity. If we think of ourselves as detectives hunting for new particles, more data means more clues to solve the mystery.

Josh Weber earns L&S Academic Staff Teaching Excellence Award

Congrats to Josh Weber for earning a College of Letters & Science Academic Staff Teaching Excellence Award!

Sometimes, the path to teaching excellence is swift and measured. Despite joining the instructional team in the Department of Physics just four short years ago, Joshua Weber has already made his mark, impressing both his colleagues and the students he teaches.

Weber is the course manager and primary instructor for Physics 201 and 202, the two-semester introductory courses taken by nearly 1,000 future engineering students. He has worked closely with his teaching assistants — the same teaching assistants who compete to work with him and whose classes he steps in to cover when they’re ill or indisposed — to adapt traditional physics labs into structured quantitative labs, in which students focus on building lab skills that allow them to “think like scientists” instead of just reproducing results they’ve seen in class. Weber views his role as an instructor as a facilitator, creating a welcoming environment that sparks collaborative learning.

He’s clearly winning the hearts and expanding the minds of his students. As one student recently shared with one of Weber’s TAs:

“Josh is really nice and a great instructor. He led my discussion section once, and I felt nervous, because I felt kind of rusty on the chapter we were working on. But he said, ‘I’m a lot more scared of you than you are of me’ kind of as a joke, and it set the tone for the class and didn’t make it feel like our big scary professor was going to run the discussion section and eat us alive for not being an expert on the material.”

Sam Kramer, Benjamin Beyer named L&S Teaching Mentors

This post is adapted from the L&S teaching mentor website

L&S announced their 2026 Teaching Mentors, including physics PhD students Sam Kramer and Benjamin Beyer. Kramer earned the additional honor of being named a Lead Teaching Mentor.

The L&S Teaching Mentors are the heart of our college level Teaching Assistant (TA) Trainings. They are exceptionally passionate and knowledgeable teachers with proven track records for teaching excellence who work closely with the L&S TA Training and Support Team to facilitate various trainings and mentor L&S TAs. Each Teaching Mentor is chosen through a competitive selection process for their enthusiasm and capacity to help others develop as effective and equitable teachers. They not only serve as role models, but also as sources of support and knowledge for both new and returning TAs.

Lead Teaching Mentors have served as Teaching Mentors more than once and take on an additional leadership role within the program. They support first-time Teaching Mentors as they learn to facilitate the TA Training curriculum. They also work with L&S TA Training and Support Team leadership to strengthen program offerings. In short, they are an invaluable source of expertise, creativity, and serve as deeply valued collaborators.

profile picture of Sam Kramer
Sam Kramer

Sam is a fourth-year Ph.D. candidate in the Department of Physics and has been teaching for Physics 202, a course for engineering major undergraduates that focuses on electricity, magnetism, and optics, since arriving in Madison. Sam also taught for a similar course as an undergraduate at Saint Louis University. In this role, he leads both discussions, which focus on problem solving, and labs, which provide hands-on experience with the concepts being taught. Physics can be an overwhelming subject, so Sam tries to distill the material into manageable chunks for the students, emphasizing the broader concepts underlying the formulas students use and drawing explicit connections between parts of the curricula. This is meant to develop the dynamic problem solving skills students need when encountering problems they have not seen before.

Profile photo of Benjamin Beyer
Benjamin Beyer

As an undergraduate, Benjamin began teaching introductory courses in physics. Since matriculating as a graduate student in the Department of Physics, Benjamin has continued to teach a wide range of courses, from courses emphasizing experimental laboratory skills to courses with a theoretical flavor. His approach blends connecting with students with breaking down complicated subjects, such that students can connect with the material in the context of their own experiences. He believes that learning physics is just as much about learning how to troubleshoot and make mistakes safely as it is about getting the right answer. Ultimately, his favorite part of teaching is helping to take the intimidation factor out of physics and watching students gain confidence in their own abilities.