Faculty

Institution

Unit

Venue

Scott Broderick

Associate Professor

University at Buffalo

Affiliations

College of Arts and Sciences

Department of Materials Design and Innovation

Scott Broderick is currently serving as a College Of Arts And Sciences Associate Professor at University At Buffalo.

Honors

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Experiences

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Education

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Scott Broderick

University at Buffalo

Associate Professor

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materials science applied physics condensed matter physics microanalysis data science nanotechnology atom probe tomography materials engineering data mining immunology computational materials science advanced materials nanomedicine veterinary medicine material research electronic materials nanobiotechnology structure discovery nanoparticle research applied microbiology material chemistry condensed matter alloy design virus research knowledge discovery composite science transition metal chemistry nanotoxicology polymer nanotechnology therapeutic nanomaterials structure determination pharmaceutical nanotechnology vaccine development charge transport surface characterization rational design first principles calculations statistical learning crystal research molecular informatics electroceramics scientific computing adaptation mammalian biology innate immune system molecular properties crystal structures viral diagnostics antiviral therapy viral pathogenesis virus-host interactions pharmaceutical biotechnology vaccine efficacy companion animals livestock health veterinary microbiology animal protection digital storytelling design science interactive storytelling related materials data classification vaccine safety vaccine research solar materials informatics-aided bandgap engineering pathogen-mimicking manner innate immune responses statistical learning approach computational discovery pathogen-mimicking amphiphilic materials mammalian environment cell-mediated immunity hemagglutinin-based polyanhydride nanovaccines combination nanovaccine synergistic enhancement characterization (materials science) materials informatics material selection combinatorial materials science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Driven Transition Temperature Enhancement of Nbn Layered Structures: A Framework for Quantum Materials Design. The Journal of Physical Chemistry C (2024)

Md Tohidul IslamKacey PearceBaishakhi MazumderScott Broderick

materials sciencequantum materialsquantum chemistryquantum materials designphysical chemistrycrystal structure design

Graph-Based Data Analysis for Building Chemistry–Phase Design Rules for High Entropy Alloys. Crystals (2024)

Scott R. BroderickStephen A. GilesDebasis SenguptaKrishna Rajan

chemistry-phase design ruleshigh entropy alloysgraph-based data analysischemistry

Machine Learning Accelerated Design of High-Temperature Ternary and Quaternary Nitride Superconductors. Applied Sciences (2024)

Md Tohidul IslamQinrui LiuScott Broderick

quaternary nitride superconductorshigh-temperature ternaryapplied physicssuperconductivity

Data-Driven Design for Enhanced Efficiency of Sn-Based Perovskite Solar Cells Using Machine Learning. APL Machine Learning (2023)

Abdul Hamid RummanMiah Abdullah SahriarMd Tohidul IslamKazi Md ShorowordiJoaquin CarbonaraScott BroderickSaquib Ahmed

machine learningdata sciencedata-driven designsystems engineeringenhanced efficiencyelectrical engineering

Immunization With a Mucosal, Post-Fusion F/G Protein-Based Polyanhydride Nanovaccine Protects Neonatal Calves Against Brsv Infection. Frontiers in Immunology (2023)

Teresia W. MainaElizabeth A. GregoScott BroderickRandy E. SaccoBalaji NarasimhanJodi L. McGill

brsv infectionneonatal calvesveterinary medicineimmunologyepidemiology

Machine Learning‐Based Accelerated Design of Fluorphlogopite Glass Ceramic Chemistries With Targeted Hardness. Journal of the American Ceramic Society (2023)

Prachi GargScott BroderickBaishakhi Mazumder

materials sciencetargeted hardnesschemical engineeringengineeringmachine learningmaterials engineeringceramic technologyrapid prototyping

Data Analytics-Guided Rational Design of Antimicrobial Nanomedicines Against Opportunistic, Resistant Pathogens. Nanomedicine Nanotechnology Biology and Medicine (2022)

Adam S MullisScott R BroderickKruttika S PhadkeNathan Peroutka-BigusBryan H BellaireKrishna RajanBalaji Narasimhan

nanomedicinehealth sciencesantimicrobial nanomedicinesinfectious diseasesantimicrobial resistancedata scienceantibiotic resistanceresistant pathogensrational drug design

Data-Driven Optimization of 3D Battery Design. Journal of Power Sources (2022)

Kaito MiyamotoScott R. BroderickKrishna Rajan

energy storagedata sciencelithium-ion batteriesbattery designdata-driven optimizationpower engineering

Machine-Learning-Based Intelligent Framework for Discovering Refractory High-Entropy Alloys With Improved High-Temperature Yield Strength. npj Computational Materials (2022)

Stephen A. GilesDebasis SenguptaScott R. BroderickKrishna Rajan

materials sciencemachine learningmaterials engineeringmechanical engineeringalloy designmachine-learning-based intelligent frameworkrefractory high-entropy alloyscomputational materials science

Releasing Chemical Energy in Spatially Programmed Ferroelectrics. Nature Communications (2022)

Yong HuJennifer L. GottfriedRose Pesce-RodriguezChi-Chin WuScott D. WalckZhiyu LiuSangeeth BalakrishnanScott BroderickZipeng GuoQiang ZhangLu AnRevant AdlakhaMostafa NouhChi ZhouPeter W. ChungShenqiang Ren

materials sciencenanotechnologynanoengineeringchemical engineeringengineeringnanomaterialsfunctional materialschemical energyfunctional nanomaterials

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Scott Broderick

Associate Professor

University at Buffalo

Affiliations

College of Arts and Sciences

Department of Materials Design and Innovation

Scott Broderick is currently serving as a College Of Arts And Sciences Associate Professor at University At Buffalo.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Scott Broderick

University at Buffalo

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Driven Transition Temperature Enhancement of Nbn Layered Structures: A Framework for Quantum Materials Design. The Journal of Physical Chemistry C (2024)

Md Tohidul IslamKacey PearceBaishakhi MazumderScott Broderick

materials sciencequantum materialsquantum chemistryquantum materials designphysical chemistrycrystal structure design

Graph-Based Data Analysis for Building Chemistry–Phase Design Rules for High Entropy Alloys. Crystals (2024)

Scott R. BroderickStephen A. GilesDebasis SenguptaKrishna Rajan

chemistry-phase design ruleshigh entropy alloysgraph-based data analysischemistry

Machine Learning Accelerated Design of High-Temperature Ternary and Quaternary Nitride Superconductors. Applied Sciences (2024)

Md Tohidul IslamQinrui LiuScott Broderick

quaternary nitride superconductorshigh-temperature ternaryapplied physicssuperconductivity

Data-Driven Design for Enhanced Efficiency of Sn-Based Perovskite Solar Cells Using Machine Learning. APL Machine Learning (2023)

Abdul Hamid RummanMiah Abdullah SahriarMd Tohidul IslamKazi Md ShorowordiJoaquin CarbonaraScott BroderickSaquib Ahmed

machine learningdata sciencedata-driven designsystems engineeringenhanced efficiencyelectrical engineering

Immunization With a Mucosal, Post-Fusion F/G Protein-Based Polyanhydride Nanovaccine Protects Neonatal Calves Against Brsv Infection. Frontiers in Immunology (2023)

Teresia W. MainaElizabeth A. GregoScott BroderickRandy E. SaccoBalaji NarasimhanJodi L. McGill

brsv infectionneonatal calvesveterinary medicineimmunologyepidemiology

Machine Learning‐Based Accelerated Design of Fluorphlogopite Glass Ceramic Chemistries With Targeted Hardness. Journal of the American Ceramic Society (2023)

Prachi GargScott BroderickBaishakhi Mazumder

materials sciencetargeted hardnesschemical engineeringengineeringmachine learningmaterials engineeringceramic technologyrapid prototyping

Data Analytics-Guided Rational Design of Antimicrobial Nanomedicines Against Opportunistic, Resistant Pathogens. Nanomedicine Nanotechnology Biology and Medicine (2022)

Adam S MullisScott R BroderickKruttika S PhadkeNathan Peroutka-BigusBryan H BellaireKrishna RajanBalaji Narasimhan

nanomedicinehealth sciencesantimicrobial nanomedicinesinfectious diseasesantimicrobial resistancedata scienceantibiotic resistanceresistant pathogensrational drug design

Data-Driven Optimization of 3D Battery Design. Journal of Power Sources (2022)

Kaito MiyamotoScott R. BroderickKrishna Rajan

energy storagedata sciencelithium-ion batteriesbattery designdata-driven optimizationpower engineering

Machine-Learning-Based Intelligent Framework for Discovering Refractory High-Entropy Alloys With Improved High-Temperature Yield Strength. npj Computational Materials (2022)

Stephen A. GilesDebasis SenguptaScott R. BroderickKrishna Rajan

materials sciencemachine learningmaterials engineeringmechanical engineeringalloy designmachine-learning-based intelligent frameworkrefractory high-entropy alloyscomputational materials science

Releasing Chemical Energy in Spatially Programmed Ferroelectrics. Nature Communications (2022)

materials sciencenanotechnologynanoengineeringchemical engineeringengineeringnanomaterialsfunctional materialschemical energyfunctional nanomaterials

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Similar Faculty Members

Krishna Rajan

Institution

University at Buffalo

radiology

nanotechnology

Mitra Taheri

Institution

Johns Hopkins University

materials science

applied physics

Robert Klie

Institution

University of Illinois Chicago

material properties

molecular crystal

Anatoly Frenkel

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Stony Brook University

machine learning methods

physico-chemical properties

Roger French

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Case Western Reserve University

physical properties

long range interactions

Subramanian KRS Sankaranarayanan

Institution

University of Illinois Chicago

engineering

inverse design

David McComb

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organic chemistry

chemistry

Kai-Ming Ho

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Iowa State University

condensed matter

matter physics

Ichiro Takeuchi

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additive manufacturing

materials science

Kristin Persson

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energy material

computational materials science