Allamaprabhu Ani

ಅಲ್ಲಮಪ್ರಭು ಅಣಿ

PhD researcher in computational mechanics & deep learning, registered at City, St George's, University of London and embedded in the CEMS Lab at Queen Mary University of London, supervised by Dr Sathiskumar Ponnusami. Co-author of a recent review of ML for fracture mechanics (EFM, Dec 2025) — currently the most-downloaded article in EFMScreenshot of Engineering Fracture Mechanics Most Downloaded list with this paper at #1, captured 2026-04-30 (verified 2026-04-30).

Headshot of Allamaprabhu Ani — PhD researcher, smiling, plain background click on me

latest from the blog

currently obsessed with two things

  • SynaCAD, an AI design partner bound by the rules of mechanics. Snap a photo of a broken kitchen-chair clip and minutes later a 3D printer is producing a stronger one. The largest version: anyone, anywhere, designing real engineered components from a sentence.
  • Accelerating fracture mechanics: a PyTorch-native phase-field solver, ~8× faster on a single GPU and end-to-end differentiable, validated against four reference codes. The technical bedrock under SynaCAD's inverse-design layer. Code goes public the moment the paper does.

things I've shipped

working software or products > published papers, in my opinion, but I'll let you decide.

currently building

SynaCAD, an AI design partner bound by the rules of mechanics

Describe a part in words, sketch it, photograph a broken one, or just upload your CAD, SynaCAD builds the geometry with you, runs the classical sizing checks (Bruhn, Niu, ESDU, Lekhnitskii), and emits a manufacturer-ready package: GD&T-annotated drawing, citation-grounded analysis report, and the machine-shop or 3D-printer code. Every number is computed by a validated solver, never invented by the language model.

In active development. Currently pitching it for the O'Shaughnessy Fellowship 2026.

papers I've put my name on

  1. A. S. Ani, R. Nakka, G. Subhash, J.-F. Molinari, S. A. Ponnusami. Machine learning for computational fracture and damage mechanics: status and perspectives. Engineering Fracture Mechanics, Dec 2025. The field's first comprehensive review — currently the most-downloaded article in the journalScreenshot of Engineering Fracture Mechanics Most Downloaded list with this paper at #1, captured 2026-04-30 (verified 2026-04-30). cited · · OpenAlex
  2. A. S. Ani, A. B. Deoghare. Leveraging machine learning for enhanced fatigue life prediction in aluminium alloys. Lecture Notes in Mechanical Engineering, Dec 2024. not yet indexed · Scholar
  3. C. V. Srinivasa, A. S. Ani, B. M. Jyothi Prasad. Protective coatings for bio-composites, a review. IOP Conf. Ser. Mater. Sci. Eng., 2020. Undergrad-era review, second author. cited · · OpenAlex

Full list (and the citation count, if you're into that) on Google Scholar.

bragspace

about

This is my little scrapbook of work, half-finished ideas, and the things I keep coming back to.

Before the PhD I read a lot of Bruhn and Niu while my classmates were learning ANSYS, did an MTech at NIT Silchar, and at 24 founded a small engineering company called Aeroknacks that shipped a real structural-analysis tool to a real firm. Aeroknacks is on the shelf while I focus on the PhD; the bolted-joint tool that paid the bills is now MIT-licensed on GitHub.

In 2025 I spent some time at EPFL's Computational Solid Mechanics lab with Prof. Jean-François Molinari, working on what became our Engineering Fracture Mechanics review.

Outside the lab: Hindustani classical singing since I was 3, a discipline I keep returning to. The ragas are familiar; the riyaz is the lifelong part.

things I tell myself

roadmap

A public to-do list. Upvote the things you want me to ship next, the count is real and lives forever (one vote per browser; honor system).

places I send people

A growing list of sites and people I think are doing something genuinely interesting.