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2020 – today
- 2024
[j4]Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, Andrea R. Browning
, H. Shaun Kwak, Mathew D. Halls, Mohammad Atif Faiz Afzal:
Advancing material property prediction: using physics-informed machine learning models for viscosity. J. Cheminformatics 16(1): 31 (2024)- 2020
- [j3]Deepak Kamal, Anand Chandrasekaran, Rohit Batra, Rampi Ramprasad:
A charge density prediction model for hydrocarbons using deep neural networks. Mach. Learn. Sci. Technol. 1(2): 25003 (2020)
2010 – 2019
- 2019
- [j2]Shruti Venkatram, Chiho Kim, Anand Chandrasekaran, Rampi Ramprasad:
Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers. J. Chem. Inf. Model. 59(10): 4188-4194 (2019) - 2014
- [j1]Ben Varkey Benjamin, Peiran Gao, Emmett McQuinn, Swadesh Choudhary, Anand Chandrasekaran, Jean-Marie Bussat, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Kwabena Boahen:
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. Proc. IEEE 102(5): 699-716 (2014) - 2010
- [c1]Anand Chandrasekaran, Kwabena Boahen:
A 1-change-in-4 delay-insensitive interchip link. ISCAS 2010: 3216-3219
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