Andrew Ferguson

Associate Professor

University of Chicago

United States

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Articles (20)

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2024

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2023

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2023

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2023

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2023

Collaborators (5)

Junhong Chen

UNITED STATES

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Siva Kalyan Dasetty

University of Chicago

UNITED STATES

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Lilo D. Pozzo

University of Washington

UNITED STATES

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Thomas Gartner

Assistant Professor

Lehigh University

UNITED STATES

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Huafeng Xu

Chief Executive Officer

Atommap Corporation

UNITED STATES

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Andrew Ferguson

Research Interests

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Articles (20)

Raman Effect-Inspired Insights into Collective Fluctuation Mode-Dependent Light Scattering of Optical Matter Systems

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2

Assembly of short amphiphilic peptoids into nanohelices with controllable supramolecular chirality

Data-driven molecular design and simulation in modern chemical engineering

Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multimolecular and Solvent-Inclusive Collective Variables

Learned Reconstruction of Protein Folding Trajectories from Noisy Single-Molecule Time Series

Thermodynamic Basis for the Stabilization of Helical Peptoids by Chiral Sidechains

Molecular Latent Space Simulators for Distributed and Multimolecular Trajectories

Denoising Autoencoder Trained on Simulation-Derived Structures for Noise Reduction in Chromatin Scanning Transmission Electron Microscopy

Computational and Experimental Determination of the Properties, Structure, and Stability of Peptoid Nanosheets and Nanotubes

Girsanov Reweighting Enhanced Sampling Technique (GREST): On-the-Fly Data-Driven Discovery of and Enhanced Sampling in Slow Collective Variables

Disruption of energetic and dynamic base pairing cooperativity in DNA duplexes by an abasic site

Virtual Special Issue on Machine Learning in Physical Chemistry, Volume 2 ─ Call for Papers

Virtual Special Issue on Machine Learning in Physical Chemistry, Volume 2 ─ Call for Papers

Virtual Special Issue on Machine Learning in Physical Chemistry, Volume 2 ─ Call for Papers

ProtWave-VAE: Integrating Autoregressive Sampling with Latent-Based Inference for Data-Driven Protein Design

Data-Driven Discovery of Linear Molecular Probes with Optimal Selective Affinity for PFAS in Water

DiAMoNDBack: Diffusion-Denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces

Collaborators (5)

Junhong Chen

Siva Kalyan Dasetty

Lilo D. Pozzo

Thomas Gartner

Huafeng Xu

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