Saaketh Desai

According to our database, Saaketh Desai authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs.

Sanchit Kabra, Nikhil Abhyankar, Saaketh Desai, Prasad P. Iyer, Chandan K. Reddy

CoRR, May, 2026

Boltzmann Reinforcement Learning for Noise resilience in Analog Ising Machines.

Aditya Choudhary, Saaketh Desai, Prasad P. Iyer

CoRR, February, 2026

Is Computing with Light All You Need? A Perspective on Codesign for Optical Artificial Intelligence and Scientific Computing.

Prasad P. Iyer, Gaurang R. Bhatt, Saaketh Desai, Elliot J. Fuller, Corinne Teeter, François Léonard, Craig M. Vineyard

Adv. Intell. Syst., January, 2026

2025

Predicting the critical micelle concentration of binary surfactant mixtures using machine learning.

Aditya Choudhary, Saaketh Desai, Methun Kamruzzaman, Alexander Landera, Koushik Ghosh, Kunal Poorey

J. Cheminformatics, December, 2025

Accelerating Materials Design via LLM-Guided Evolutionary Search.

Nikhil Abhyankar, Sanchit Kabra, Saaketh Desai, Chandan K. Reddy

CoRR, October, 2025

AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery.

Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao, Igal Brener, Laura P. Swiler, Rémi Dingreville, Prasad P. Iyer

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Self-driving lab discovers principles for steering spontaneous emission.

Saaketh Desai, Sadhvikas Addamane, Jeffery Y. Tsao, Igal Brener, Rémi Dingreville, Prasad P. Iyer

CoRR, 2024

2023

Rethinking materials simulations: Blending direct numerical simulations with neural operators.

Vivek Oommen, Khemraj Shukla, Saaketh Desai, Rémi Dingreville, George Em Karniadakis

CoRR, 2023

Learning incoherent light emission steering from metasurfaces using generative models.

Prasad P. Iyer, Saaketh Desai, Sadhvikas Addamane, Rémi Dingreville, Igal Brener

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Implementing a neural network interatomic model with performance portability for emerging exascale architectures.

Saaketh Desai, Samuel Temple Reeve, James F. Belak

Comput. Phys. Commun., 2022

2021

Sim2Ls: FAIR simulation workflows and data.

Martin Hunt, Steven Clark, Daniel Mejia, Saaketh Desai, Alejandro Strachan

CoRR, 2021

2020

Parsimonious neural networks learn classical mechanics and can teach it.

Saaketh Desai, Alejandro Strachan

CoRR, 2020