Eros Barefoot, Beauty Unfinished

Walk through a museum and the first signal is chromatic. Marble reads as white, and white reads as pure. Aphrodite and Apollo become an argument before they become a figure: ideal beauty, ideal calm, ideal proportion. Neoclassicism did not merely preserve the antique, it manufactured an antique that could serve as a stable reference for modern taste. The whiteness of the stone is not neutral. It is an aesthetic claim and a moral one.

The formal claim is older. In the fourth century BC, Polyclitus is said to have produced a Canon, a body that functions as a rule set. Later, Vitruvius writes proportion as arithmetic. The face is one tenth of total height, the head one eighth, the torso one quarter, and so on. The body becomes a fraction, and the fraction becomes a norm. From there the inference is almost automatic: what departs from the norm becomes ugly.

That inference is natural only if one forgets the scope of Greek visual and literary inheritance. The Greeks idealized beauty, but later Europe idealized the Greeks, and then forgot that Greek culture also trafficked in the disproportionate, the monstrous, the comic, and the grotesque. The tradition did not only leave us the calibrated athlete. It also left us Sileni, satyrs, gorgons, hybrid beings, old bodies, wounded bodies, the deliberate violation of canon. Sometimes figures carry traces of Eastern Mediterranean and Near Eastern motifs, which means that even the supposed purity of the Greek line is already a composite line. The West inherited both the rule, and the refusal of the rule.

Greek perfection is often summarized by kalokagathia, the fusion of kalos and agathos, beautiful and good, but also capable, dignified, courageous, disciplined, and worthy of honor. It maps cleanly onto a later English ideal of the gentleman, style plus virtue plus competence. Once you install that ideal, you can generate an entire literature of correlation: physical ugliness signals moral ugliness. The body becomes evidence. The face becomes a verdict.

Yet the Greek record does not permit a simple equivalence. The most obvious counterexample is Helen. The expedition to Troy is motivated by her extraordinary beauty, and rhetoric can even produce praise of her, as Gorgias does in his encomium. But Helen as a moral figure is unstable, at best. Beauty moves nations, and beauty also breaks vows. If beauty is merely what pleases the eye, then it is powerful, and morally indifferent. If beauty is a quality of the soul, then Helen is a problem, because body and life do not align.

This ambiguity becomes explicit in Plato. If reality is the realm of Forms, and sensible things are copies, then ugliness looks like failure, a slide toward nonbeing. Plato even rejects in the Parmenides,the need for forms of base things such as mud, hair, or stains. The foul has no ideal model. It exists only as defect in the sensible order, a local imperfection against a perfect template.

Then the symposium complicates the picture further by relocating beauty inside desire. The dialogue distinguishes kinds of love, including loves aimed at women, and loves aimed at boys, and it stages competing images of Eros. Agathon presents Eros as eternally young and handsome, a familiar Greek pairing: youth with beauty, age with ugliness. It is the aesthetic of the unmarked body, the body before decay, before contingency becomes visible.

Socrates refuses the easy portrait. Speaking through the figure of Diotima, he argues from lack: we desire what we do not have. If so, Eros cannot be beautiful or good in possession, because he is desire for beauty and goodness, not their completed state. Eros is an in between. Plato calls him a daimon, not a god, not a brute, but an intermediary, a striving. His parentage encodes the concept. He is the child of Penia, Lack, and Poros, Resource. From Penia, he inherits a wretched appearance, shaggy, barefoot, homeless. From Poros he inherits the capacity to hunt, to scheme, to pursue what he lacks.

This is not a sentimental move. It is a structural one. If the beautiful is what we lack, then the lover is defined by incompleteness, not by perfection. Desire is not the halo around an already ideal body. Desire is the engine that reveals the gap between the body we have and the value we want.

Plato then connects Eros to immortality. Human beings want to persist. Physical procreation is one route, but …

Diotima insists on a second route: the production of spiritual values. Poetry, laws, philosophy, and the formation of character are also modes of reproduction. They create a different kind of afterlife, immortality by glory, and by transmission. Ordinary people produce children. Those who cultivate the aristocracy of the spirit produce wisdom, and beauty, as durable forms.

From this comes the ladder of love. A person begins by admiring one body. Then many bodies. Then the beauty of minds, practices, and institutions. Eventually, the lover aims at Beauty itself, not a local instance, but Beauty as Idea, the hyperuranian object. Here kalokagathia shifts meaning. The good and beautiful person is no longer the one whose body matches canon. He is the one who sees beyond canon, who prefers the beauty of the soul, and who can care for a young person of promise even if the body is not exemplary. The body becomes a starting point, not a stopping point.

Alcibiades then enters the dialogue as a kind of stress test. Handsome, drunk, charismatic, he offers a vivid confession: he tried to trade his body for Socrates’ wisdom. Socrates refused. He lay beside him chastely. The scene is not a prudish anecdote. It is a demonstration of priority. Carnal beauty does not purchase moral and intellectual beauty. The exchange rate is not defined.

Alcibiades’ praise of Socrates turns on appearance. Socrates looks like a Silenus, an ugly exterior, a comic face, a body that does not satisfy the classical smoothness. Yet Alcibiades insists that inside this exterior is a profound beauty. The dialogue forces a reversal: ugliness can be the shell of wisdom, and beauty can be the mask of chaos. The simplistic opposition between ugliness and kalokagathia collapses. Greek culture knew this collapse, and returned to it repeatedly, as shown by later admiration for Aesop, another figure marked as ugly, but granted noble soul, and sharp intelligence.

Even within Plato, the line is not stable. In the Republic he treats ugliness, understood as disharmony, as a threat to the soul’s formation, and he recommends sparing the young from ugly portrayals. Aesthetic diet becomes moral diet. And yet he also concedes that every thing has a kind of beauty proper to its function, its fit to its own Form. A pot can be beautiful as a pot. A mare can be beautiful as a mare. The hierarchy remains, because a pot is not beautiful compared to a girl, but within its category, it can still satisfy an internal standard. Beauty becomes relational, and contextual, not only absolute.

Aristotle, more empirical, sanctions a principle with long afterlife: it is possible to make beautiful imitations of ugly things. Representation can redeem what it depicts. People can admire a skilled portrayal of the unattractive, whether the unattractiveness is physical, moral, or both. Homer’s Thersites becomes a canonical example, a figure whose ugliness is part of his narrative function, and whose depiction becomes an aesthetic success.

Then the Stoics widen the frame further. Marcus Aurelius can look at imperfections, like cracks in a loaf of bread, and see them as contributing to the agreeability of the whole. The defect is not merely tolerated, it is integrated. It becomes part of the texture that makes the object real, and therefore fitting. Ugliness is redeemed by context, not by denial.

If you follow this arc, the museum myth looks thin. The Greeks did not hand us a single doctrine of beauty. They handed us a contested field: proportion and its violation, body and soul, youth and decay, desire as lack, representation as transfiguration, context as redemption. Neoclassicism took one slice, polished it, and called it the whole. The older material is messier, and more useful. It does not let beauty settle into a static measurement. It forces beauty to argue with virtue, and it forces ugliness to appear as more than a simple opposite. It is a reminder that canon is not nature. Canon is a decision, and Greece, like us, argued about what that decision should mean.

2025 in Review

2025 was a unique year. I lived in four different states and was a resident of those states. I moved across the country three times, with professional movers, packing and unpacking, registering my car, updating bank accounts, IDs, insurance, and permanent addresses. I leased apartments, sold my beloved house in Florida, and navigated multiple career changes quickly.

Along the way, I said goodbye to long term friends, familiar rhythms, favorite restaurants, coffee shops, and the commutes that had become quiet anchors, the route to the university, the small towns, the streams, and the art museums that made a place feel peaceful. In the middle of so much change, I found myself thinking of what I have done, where I have been, and what I still carry. When I look back at the people I knew, and the work, and the ordinary days that now feel distant, I do not see loss. I see what I learned, what it built in me, and the good that came from it.

Socially Sanctioned Incompetence

In America, there is a funny, and revealing, version of mathematics.

One popular joke is that, at a dinner party, the only socially acceptable thing to be bad at is mathematics. Someone recalls high school and says they are terrible at math, another says, me too, and everybody laughs. This is not so common in other countries. America is not unique, but this is a recognizable piece of day to day American culture. Americans are rarely proud of being bad at anything, yet mathematics is the one domain where the common American can sound almost pleased to be incompetent.

Americans often connect academic effort with outcome. A scholarship, a job, a credential, a title, a salary. So how does one convince American families that mathematics matters for a child’s education if the payoff is not immediate, or even legible? This is part of the motivation behind the Clay Mathematics Institute putting serious money behind difficult, century class problems. There is an old story, I cannot remember whether it comes from von Neumann or someone adjacent. The idea is simple: attach a financial reward to hard mathematics so American parents can tell their kids to study it because there is a concrete outcome.

This is very different from what drives professional mathematicians at the top of the field, like Andrew Wiles, who solved one of the great century class problems. I recall watching a documentary on him, and in one interview he cried while talking about the moment it finally worked. He was not crying because of money, status, or career positioning. He was crying because he had touched mathematical beauty. Many engineers, and many students in engineering courses, do not fully register how powerful that can be, the lived experience of beauty in a symbolic language that does not need a practical pretext.

Note on Early Medieval Universities, the Scholastic Method, and the Formation of Critical Thought

Early medieval universities formed a distinct intellectual system built around structure, discipline, and the controlled expansion of reasoning. These institutions emerged from cathedral schools and monastic centers and evolved into formal environments where knowledge was not only preserved but interrogated. Their core mechanism was the scholastic method, a systematic approach that treated ideas as analytical objects. The process was not ornamental. It was engineered to extract clarity from ambiguity through ordered reasoning.

The foundation of the scholastic method began with the authoritative text. Masters performed the lectio, reading the text line by line, isolating definitions, identifying structure, and parsing each conceptual element. This was not a passive reading but an initial decomposition step. The goal was to understand the internal architecture of the argument and to expose points where logical tension might develop.

From this, the quaestio emerged. The method treated contradictions as formal problems to be resolved. A question was constructed with precise logical framing that forced the students to examine the boundary where an argument failed to align with another authority or with its own implications. The university classroom became a controlled environment for isolating assumptions, identifying conflicts, and preparing for systematic resolution.

Disputation was the operational phase. In this setting, objections were raised, defended, and countered with ordered rigor. The disputation structure required the student to articulate objections with precision, evaluate their strength, and identify where an argument carried or collapsed. The master responded with the determinatio, a final synthesis that reconciled the competing claims and provided a coherent resolution grounded in logic rather than force of assertion. This served as a model for integrative reasoning.

The outcome was a unique form of critical thinking. Students were trained to interrogate any claim, including those from revered authorities, through systematic analysis. The method normalized structured critique. The reliance on logical form eliminated vague reasoning and required explicit premises. Students learned to perform rapid evaluation during oral defense, to track argument flow, and to maintain internal consistency. The result was a disciplined intellectual framework that enabled scholars to construct large, stable bodies of knowledge, such as the theological and legal systems that later defined medieval and early modern thought.

The scholastic method represents an early creation of cognition. It imposed constraints that produced clarity and forced internal coherence. While the topics were often theological, the underlying process was analytical, and it shaped the evolution of Western intellectual life. The early universities did not invent critical thinking, but they built the first institutional architecture that required it, refined it, and transmitted it across generations.

Remember a Perfect Day

On a spring day at University of Florida, I walked from Professor Haftka’s office, now my own. Up the small rise from aerospace, near the student union and under the trees, I made my way to class. Years of developing the Navier–Stokes equations for aerospace students, joined by mathematics students. The room held thirty, yet forty arrived, ten seated on the floor. A failed attempt at seeing mathematical beauty, but a perfect walk. Then Covid arrived.

Leaves

In the late summer of that year we lived in a house in a village that looked across the river and the plain to the mountains. In the bed of the river there were pebbles and boulders, dry and white in the sun, and the water was clear and swiftly moving and blue in the channels. Troops went by the house and down the road and the dust they raised powdered the leaves of the trees. The trunks of the trees too were dusty and the leaves fell early that year and we saw the troops marching along the road and the dust rising and leaves, stirred by the breeze, falling and the soldiers marching and afterward the road bare and white except for the leaves.

Ernest Hemingway, A Farewell to Arms

Remembering Dennis Bushnell

I received word via the NASA Alumni Association that Dennis Bushnell passed away. Dennis Bushnell was a long-serving Chief Scientist of NASA Langley Research Center. I remember meeting him for the first time when there was internal research funding available at NASA for researchers. I wrote a proposal on fluid thrust factoring of a particular kind. He was patient and read the proposal, but he told me that the Israeli Air Force had already accomplished this research and put it into production.

Perhaps more importantly than just another one-off proposal-or one of the first in my career that was rejected-was that he taught me one of the most invaluable lessons for any researcher: all good research gets funded. Perhaps if research is not funded, it is not so good after all.

Sometimes the long-time Chief Scientist might have been made fun of for his perhaps quizzical delivery of futurism in center addresses, but he succeeded in generating discussions among researchers. Perhaps this was one of the points of a center speech.

I recall an article describing how he would go to the top of the Chamberlin Hotel at Fort Monroe in Virginia-where part of the Civil War was fought and Jefferson Davis was held prisoner-and look out at the water each year to decide if he would spend another ten years at NASA Langley. Of course, he did. He decided to stay for a long time.

Upon receiving the news of his death, I think of another type of death-or rebirth-and that is of our beloved agency, the National Aeronautics and Space Administration. It was something that we were all proud to be a part of-a special agency. What makes me sad, perhaps, is that Dennis saw the great changes, and perhaps sadness, in the research core he served, and how NASA is forever changed today due to political interference.

Wiki: https://en.wikipedia.org/wiki/Dennis_M._Bushnell

High-Order CFD for Validating Analytical Solution of the Navier-Stokes Equations – ‘BlackJack’

The Computational Fluid Dynamics (CFD) code, ‘BlackJack,’ was created with a singular purpose: to generate extremely accurate numerical solutions of the Navier-Stokes equations in support of a broader program to develop new analytical solutions to those same equations. Unlike general-purpose CFD tools designed for industrial applications or engineering approximations, BlackJack CFD is a research code, engineered from the ground up to deliver benchmark-level fidelity for theoretical validation. Its development was motivated by the realization that no existing solver provided the order of accuracy, control over discretization, or modular extensibility required to confirm and refine exact or semi-exact solutions to the full compressible Navier-Stokes equations. Every algorithmic choice in BlackJack from the finite difference stencils to the boundary condition handling, damping strategies, and grid metrics was selected to eliminate numerical artifacts and ensure transparent, reproducible correspondence with analytical theory. It allows one to see what the analytical solutions will be, unlike production CFD codes that yield only relative insights into solutions.

I created the code BlackJack as an extension of my earlier DARPA supported program focused on developing new analytical solutions to the Navier-Stokes equations in high-speed flows. As I began deriving exact and semi-empirical solutions, it became clear that the engineering and applied communities no longer accept mathematical correctness based solely on symbolic insertion into the governing equations. Instead, they now demand that analytical solutions be compared directly to numerical simulations or experimental data, as if analytical solutions require the same form of validation as CFD. This mindset is fundamentally backwards, but it is the reality faced today.

Just as CFD is validated against wind tunnel measurements, engineers now insist that analytical solutions be benchmarked against numerical simulations, regardless of the fact that the solution may already satisfy the governing equations exactly. To confront this, I needed a numerical tool that was capable of producing reference-quality data free of dissipation, dispersion, and algorithmic ambiguity so that it could serve as a baseline for validating these theoretical results. Existing CFD codes, including commercial and open-source tools, were simply not built for this purpose.

This became the motivation for the new code. The goal was to construct a solver from the ground up that prioritizes fidelity over generality, with numerical methods capable of matching analytical solutions point for point in both steady and unsteady flow regimes. I began development nearly two years ago, writing the entire codebase by myself in Fortran. The architecture reflects the demands of research rather than industry: everything is explicitly structured, highest-order accurate, and open to modification.

BlackJack is a high-order structured CFD solver built on a multi-block, sub-block framework. It supports fully three-dimensional simulations on structured grids with arbitrary block decomposition, allowing exact enforcement of interface conditions and strict memory locality across parallel threads. Discretization schemes are user-specified and include a wide range of central and biased finite difference operators, including dispersion-optimized methods suitable for acoustics, shocks, and nonlinear wave propagation. Damping and filtering routines, including high-order sponge layers and localized artificial diffusivity, are tightly integrated into the residual formulation to stabilize underresolved gradients while preserving accuracy in smooth regions. Boundary conditions allow for subsonic and supersonic inflow and outflow, slip and no-slip walls, moving boundaries, periodic conditions, and radiation conditions. Each of these can be independently specified in each spatial direction, offering full control over problem setup and experimental design.

The solver operates on conservative variables, advancing them in time using a suite of advanced integrators, including low-storage and error-controlled methods up to 21st (and higher) order in accuracy. Grid metrics are computed analytically using the full inverse Jacobian formulation, enabling consistent representation of curvilinear geometry and ensuring the fidelity of derivative operations. All numerical routines-including finite difference, damping, boundary enforcement, and thermodynamic evaluation are modularized and can be extended with minimal disruption to the core solver. This modularity is essential, as BlackJack is designed not only to run known problems but to serve as a platform for exploring new equations, new models, and new forms of physical boundary data. The code can easily add additional equations, such as those for electromagnetics with minimal changes.

The code continues to evolve. Current development focuses on enhanced GPU parallelism, support for structured GMSH grid input, and expansion of the analytical validation suite with canonical solutions ranging from nonlinear acoustics to transitional flows and shock interactions. The code is already capable of resolving shock formation in N-wave propagation, reproducing linear and nonlinear acoustic fields, and achieving global accuracies on the order of 21st order or higher with only a handful of points per wavelength.

The name of the code originated as a joke I made with coworkers while I was a professor at the University of Florida. My original goal was to develop a high-order CFD code with spatial accuracy up to 21 points. Since 21 is the critical number in the card game blackjack, I began informally referring to the code as “BlackJack.” I also considered naming it “Gambit,” as a nod to the X-Men series, but BlackJack (or informally Gambit) ultimately stuck. Achieving practical CFD with shock capturing at 21st-order accuracy is not trivial, and the code continues to be pushed toward arbitrary order in both space and time for more complicated problems.

Olaf O. Storaasli

Recently I lost a friend, Olaf O. Storaasli, Ph.D., due to medical complications. I first met him through the NASA Langley Alumni Association after giving a lecture titled Life After Academics. Although we did not overlap during my time at NASA, we connected through shared experiences. Later, he and his wife visited Florida, and I hosted them at the University of Florida. During that visit, I introduced him to several senior design groups, invited him to speak to my class, and arranged a seminar with my research group.

Olaf had spent many years at NASA, primarily in Tennessee and at Oak Ridge, where he was a pioneer in early high performance computing. I believe he was at NASA during one of the space shuttle disasters. Many people from that era carry a lasting sense of responsibility for those events. It raises an important question—whether the hard-won lessons of safety from that time have truly endured, or whether we have started to drift back toward the cowboy mindset of the so-called Golden Age of Aerospace in the 1950s and 60s.

His visit to the university left a strong impression. I remember a dinner I hosted for him and his wife in Gainesville, a moment of quiet conversation and reflection. The students were especially engaged. In one senior design course, he stayed after class answering questions for over an hour, until I finally had to pull him away. Experiences like these remind me how valuable it is for students to engage with experienced professionals. Despite the noise of modern academic life, students remain eager to learn, listen, and absorb the lessons of those who came before them. That, I think, is a good sign.