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Daniel W. Siderius (Fed)

Chemical Engineer

ORCID: 0000-0002-6260-7727 (link)
ResearcherID: E-8116-2011 (link)


My research focuses on the adsorption capabilities of porous materials, more specifically in the relationships between the properties/features of porous materials and the resultant adsorption behavior. Adsorbent materials have a wide range of actual and potential applications, including gas storage, gas separation, mitigation of environmental pollutants, and pharmaceutical drug delivery. Furthermore, porous adsorbent materials are interesting from a fundamental point of view in that the thermodynamics of guest adsorbate species differ dramatically from their bulk, unconfined, behavior and may show widely-varying thermodynamics in confinement depending on the nature of the adsorbate molecule. The main tool I use for this research is flat-histogram Monte Carlo simulation, which allows for efficient simulation of equilibrium states for both bulk and confined fluids and yields extra information, including macrostate distributions, free energies, and thermodynamic stability limits, that are typically difficult to obtain using standard Monte Carlo simulation.

NIST Data Products

NIST Standard Reference Simulation Website - SRD-173

NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials

NIST Registry of Adsorbent Materials

Other Publications

"Predicting gas adsorption in complex microporous and mesoporous materials using a new density functional theory of finely discretized lattice fluids"

"On the generalized equipartition theorem in molecular dynamics ensembles and the microcanonical thermodynamics of small systems"

"Structure, thermodynamics, and solubility in tetromino fluids"

"On the line tension of curved boundary layers. I. Boundary thermodynamics"

"Extension of scaled particle theory to inhomogeneous hard particle fluids. IV. Cavity growth at any distance relative to a planar hard wall"

Selected Publications

MOFX-DB: An online database of computational adsorption data for nanoporous materials

Author(s)
N. S. Bobbitt, Kaihang Shi, Benjamin J. Bucior, Haoyuan Chen, Nathaniel Tracy-Amoroso, Zhao Li, Yangzesheng Sun, Julia Merlin, Joern Ilja Siepmann, Daniel Siderius, Randall Q. Snurr
Machine learning and data mining coupled with molecular modeling have become powerful tools for materials discovery. Metal-organic frameworks (MOFs) are a rich

Publications

Best-Practice Reporting for Porous Materials Adsorption Data

Author(s)
Daniel Siderius, Louis Vanduyfhuys, Jack Evans, Paul Iacomi, Veronique Van Speybroeck, Volodymyr Bon, Stefan Kaskel
Recent decades have seen an enormous evolution of novel porous materials for catalysis, energy efficient processes, and sustainable technologies to improve life

Progress in development of characterization capabilities to evaluate candidate materials for direct air capture applications

Author(s)
Marcus Carter, Huong Giang Nguyen, Andrew Allen, Feng Yi, Wei-Chang Yang, Avery Baumann, William S. McGivern, Jeffrey A. Manion, Ivan Kuzmenko, Zois Tsinas, Charlotte Wentz, Malia Wenny, Daniel Siderius, Roger van Zee, Christopher Stafford, Craig Brown
As part of U.S. national efforts to combat the detrimental effect of global climate change, the National Institute of Standards and Technology (NIST) was

Data and Software Publications

Data for Intrinsic DAC calculations

Author(s)
Austin McDannald, Daniel Siderius
Results of calculations and simulations for the Intrinsic Direct Air Capture analysis of Metal Organic Framwork (MOF) sorbents.Includes Grand Canonical Monte Carlo (GCMC) simulations, predictions of
Created October 9, 2019, Updated November 24, 2025
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