A 1-change-in-4 delay-insensitive interchip link. - Anand Chandrasekaran; Kwabena Boahen 001 (ISCAS, 2010)

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. - Ben Varkey Benjamin; Peiran Gao; Emmett McQuinn; Swadesh Choudhary; Anand Chandrasekaran; Jean-Marie Bussat; Rodrigo Alvarez-Icaza; John V. Arthur; Paul Merolla; Kwabena Boahen 001 (Proc. IEEE, 2014)

Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers. - Shruti Venkatram; Chiho Kim; Anand Chandrasekaran; Rampi Ramprasad (J. Chem. Inf. Model., 2019)

A charge density prediction model for hydrocarbons using deep neural networks. - Deepak Kamal; Anand Chandrasekaran; Rohit Batra; Rampi Ramprasad (Mach. Learn. Sci. Technol., 2020)

Towards MatCore: A Unified Metadata Standard for Materials Science. - Jane Greenberg; Pámela Bóveda-Aguirre; John Allison; Pietro Asinari; Maria Chan; Anand Chandrasekaran; Elif Ertekin; Emmanouel Garoufallou; Giulia Galli; Paolo Giannozzi; Feliciano Giustino; Gerhard Goldbeck; et al. (MTSR, 2024)

Designing the next generation of polymers with machine learning and physics-based models. - Alex K. Chew; Mohammad Atif Faiz Afzal; Anand Chandrasekaran; Jan Henk Kamps; Vaidya Ramakrishnan (Mach. Learn. Sci. Technol., 2024)

Advancing material property prediction: using physics-informed machine learning models for viscosity. - 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 (J. Cheminformatics, 2024)