Seed Fellows
Dr. Alon Grinberg Dana
Massachusetts Institute of Technology
2020 Seed
Adviser: Prof. William H. Green
MolSSI Software Mentor: Matthew Welborn
“A standardized open infrastructure for conveniently storing and obtaining theoretical chemical information of relevance for kinetic computations”
Samragni Banerjee
The Ohio State University
2020 Seed
Adviser: Prof. Alexander Y. Sokolov
MolSSI Software Mentor: Jessica A. Nash
“Efficient Implementation of Algebraic Diagrammatic Construction Theory for Accurate Simulations of Electron Ionization and Attachment”
Victor Chavez
Purdue University
2020 Seed
Adviser: Prof. Adam Wasserman
MolSSI Software Mentor: Taylor Barnes
“Development and implementation of Partition DFT”
James R. Gayvert
Boston University
2020 Seed
Adviser: Prof. Ksenia Bravaya
MolSSI Software Mentor: Andrew Abi-Mansour
“Development of an open-source library for the description of metastable electronic states in molecules”
Ankita J. Mukhtyar
Cornell University
2020 Seed
Adviser: Prof. Fernando A. Escobedo
MolSSI Software Mentor: Eliseo Marin-Rimoldi
“Developing a pattern recognition based framework to characterize order in materials, with a focus on block copolymer self assembly”
Farhad Ramezanghorbani
University of Florida
2020 Seed
Adviser: Prof. Adrian Roitberg
MolSSI Software Mentor: Matthew Welborn
“Development of neural network architectures for multi-task learning of QM energies and forces to enhance drug discovery”
Dr. Joao Rodrigues
Stanford University School of Medicine
2020 Seed
Adviser: Prof. Michael Levitt
MolSSI Software Mentor: Levi N. Naden
“Developing an open-source library to characterize the chemistry and energetics of protein interfaces”
Yuan Yao
Cornell University
2020 Seed
Adviser: Prof. Cyrus Umrigar
MolSSI Software Mentor: Ben Pritchard
“Improving basis set convergence in the semistochastic heatbath configuration interaction (SHCI) method”
