activity
20232026
most citedDetermining Molecular Complexity using Assembly Theory and Spectroscopy

10 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Programmable Droplets as Active Matter in a Reconfigurable Environment

Ivan Shmarov, Abhishek Sharma, Michael Jirasek +2

Exploring systems that bridge the gap between non living and living matter requires a reconfigurable environment coupled to synthetic systems capable of autonomous motion, adaptive…

cond-mat.mtrl-sci2026

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Aritra Roy, Kevin Shen, Andrew MacBride +350

Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…

q-bio.MN2025

Quantifying the Emergence of Selection Prior to Biological Evolution

Michael Jirasek, Abhishek Sharma, Mary Wong +2

Selection is central to biological evolution, yet there has been no general experimental framework for quantifying selection in chemical systems before life. Here we demonstrate th…

q-bio.PE2024★ 1 cited

Constructing the Molecular Tree of Life using Assembly Theory and Mass Spectrometry

Amit Kahana, Alasdair MacLeod, Hessam Mehr +5

Here we demonstrate the first biochemistry-agnostic approach to map evolutionary relationships at the molecular scale, allowing the construction of phylogenetic models using mass s…

q-bio.QM2023★ 10 cited

Determining Molecular Complexity using Assembly Theory and Spectroscopy

Michael Jirasek, Abhishek Sharma, Jessica R. Bame +9

Determining the complexity of molecules has important applications from molecular design to understanding the history of the process that led to the formation of the molecule. Curr…