
Curt Breneman
Dean of the School of Science; Professor; Director, Rensselaer Exploratory Center for Cheminformatics Research (RECCR) Rensselaer Polytechnic Institute
- Troy NY
Specializes in the development of new molecular property descriptors and machine learning methods for physical and biochemical problems

Rensselaer Polytechnic Institute
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Areas of Expertise
Biography
Education
UC Santa Barbara
Ph.D.
Chemistry
1987
UCLA
B.S.
Chemistry
1980
Links
Media Appearances
Helium shortage: impact on medicine and research
News10 ABC tv
2022-12-06
As the global helium shortage continues, a variety of industries that count on the element are facing the impacts of supply constraints. While many of us make thing of balloons when it comes to helium, it’s also a vital component in medicine and research.
“What we have to do is be strategic about it. We should use helium for things we think are critical,” said Dr. Curt Breneman, Dean of the School of Science at Rensselaer Polytechnic Institute.
Research, businesses affected by helium shortage
WNYT News Channel 13 online
2019-05-23
It's only going to get pricier, or so says Professor Curt Breneman, Dean of the School of Science at RPI. He said prices could double, triple or even quadruple because of the shortage.
Remembering RPI's George Low On Apollo 11 Anniversary
WAMC radio
2019-07-19
Thousands of people worked to get the astronauts to the moon and back — including one with strong ties to Rensselaer Polytechnic Institute. A 1948 RPI graduate in Aeronautical Engineering, George Low had a voice in NASA from the very beginning, helping to plan the organization in 1958. He was named the organization’s first Chief of Manned Space Flight, and RPI Dean of Science Curt Breneman says that ultimately gave Low direct involvement in Projects Mercury, Gemini, and, of course, Apollo.
Web Extra: RPI Dean of Science talks astronauts past and future
News10 ABC online
2019-07-16
In this web extra, NEWS10’s Cassie Hudson speaks with Rensselaer Polytechnic Institute Dean of Science Curt Breneman about the legacy of RPI astronauts and what he sees for the future.
Apollo 11's trip became real under RPI engineer's guidance
Times Union print
2019-07-15
Curt Breneman, RPI’s dean of sciences, recalled being a 13-year-old boy entranced by Apollo 11’s adventure, space flight and science. “This was totally inspiring for a 13-year-old. Watching the moon landing and thinking about what that represented; how audacious it had been to propose doing that. In fact, George Low was one of the individuals who provided that information to the Kennedy administration that we really could do this,” Breneman said.
Articles
Computational strategies for polymer dielectrics design
PolymerCC Wang, G Pilania, SA Boggs, S Kumar, C Breneman, R Ramprasad
2014
The present contribution provides a perspective on the degree to which modern computational methods can be harnessed to guide the design of polymeric dielectrics. A variety of methods, including quantum mechanical ab initio methods, classical force-field based molecular dynamics simulations, and data-driven paradigms, such as quantitative structure–property relationship and machine learning schemes, are discussed. Strategies to explore, search and screen chemical and configurational spaces extensively are also proposed. Some examples of computation-guided synthesis and understanding of real polymer dielectrics are also provided, highlighting the anticipated increasing role of such computational methods in the future design of polymer dielectrics.
Discovery of antibiotics-derived polymers for gene delivery using combinatorial synthesis and cheminformatics modeling
BiomaterialsThrimoorthy Potta, Zhuo Zhen, Taraka Sai Pavan Grandhi, Matthew D Christensen, James Ramos, Curt M Breneman, Kaushal Rege
2014
We describe the combinatorial synthesis and cheminformatics modeling of aminoglycoside antibiotics-derived polymers for transgene delivery and expression. Fifty-six polymers were synthesized by polymerizing aminoglycosides with diglycidyl ether cross-linkers. Parallel screening resulted in identification of several lead polymers that resulted in high transgene expression levels in cells. The role of polymer physicochemical properties in determining efficacy of transgene expression was investigated using Quantitative Structure–Activity Relationship (QSAR) cheminformatics models based on Support Vector Regression (SVR) and ‘building block’ polymer structures. The QSAR model exhibited high predictive ability, and investigation of descriptors in the model, using molecular visualization and correlation plots, indicated that physicochemical attributes related to both, aminoglycosides and diglycidyl ethers facilitated transgene expression. This work synergistically combines combinatorial synthesis and parallel screening with cheminformatics-based QSAR models for discovery and physicochemical elucidation of effective antibiotics-derived polymers for transgene delivery in medicine and biotechnology.
Stalking the Materials Genome: A Data‐Driven Approach to the Virtual Design of Nanostructured Polymers
Advanced Functional MaterialsCurt M Breneman, L Catherine Brinson, Linda S Schadler, Bharath Natarajan, Michael Krein, Ke Wu, Lisa Morkowchuk, Yang Li, Hua Deng, Hongyi Xu
2013
Accelerated insertion of nanocomposites into advanced applications is predicated on the ability to perform a priori property predictions on the resulting materials. In this paper, a paradigm for the virtual design of spherical nanoparticle‐filled polymers is demonstrated. A key component of this “Materials Genomics” approach is the development and use of Materials Quantitative Structure‐Property Relationship (MQSPR) models trained on atomic‐level features of nanofiller and polymer constituents and used to predict the polar and dispersive components of their surface energies. Surface energy differences are then correlated with the nanofiller dispersion morphology and filler/matrix interface properties and integrated into a numerical analysis approach that allows the prediction of thermomechanical properties of the spherical nanofilled polymer composites. Systematic experimental studies of silica nanoparticles modified with three different surface chemistries in polystyrene (PS), poly(methyl methacrylate) (PMMA), poly(ethyl methacrylate) (PEMA) and poly(2‐vinyl pyridine) (P2VP) are used to validate the models. While demonstrated here as effective for the prediction of meso‐scale morphologies and macro‐scale properties under quasi‐equilibrium processing conditions, the protocol has far ranging implications for Virtual Design.