Faculty

Institution

Unit

Venue

Bryce Meredig

Faculty Adjunct Professor of Materials Science and Engineering

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Materials Science and Engineering

Bryce Meredig is currently serving as a Materials Science And Engineering Faculty Adjunct Professor of Materials Science and Engineering at Northwestern University.

Honors

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Experiences

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Education

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Bryce Meredig

Northwestern University

Faculty Adjunct Professor of Materials Science and Engineering

You can click a keyword to filter the displayed items

materials science machine learning applied physics condensed matter physics computational materials science materials engineering chemistry density functional theory material research data science data mining materials discovery manufacturing material modeling computational chemistry knowledge discovery structure determination numerical simulations thermal engineering manufacturing technology manufacturing science nuclear materials nuclear science manufacturing innovations material analysis phase separation thermal transport material selection crystal structures material simulation large-scale data first-principles thermodynamic framework materials project low-energy solutions material chemistry engineering optimization machine learning research scientific data tribology composite science advanced manufacturing technologies industrial informatics high-throughput screening advanced energy technology structure discovery scientific data management data access data infrastructures model building transfer learning continuum modeling robust optimization material innovation reduced order modeling material processing data re-identification large-scale datasets digital manufacturing manufacturing engineering technology adoption failure prediction colloid chemistry material properties data-driven science glass-ceramic materials design dft formation energies unconstrained composition space full-heusler compounds high-throughput machine-learning-driven synthesis design roadmap high-throughput calculations thermoelectric properties extrapolation performance real-time screening thermoelectric materials properties

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multiobjective Closed-Loop Approach Towards Autonomous Discovery of Electrocatalysts for Nitrogen Reduction. Digital Discovery (2024)

Lance KavalskyVinay I. HegdeBryce MeredigVenkatasubramanian Viswanathan

computer scienceelectrochemical engineering

Artificial Intelligence in Materials Education: A Roundtable Discussion. JOM (2023)

Kaitlin TylerEnze ChenBryce MeredigTaylor Sparks

artificial intelligenceroundtable discussionmaterials educationeducation

By How Much Can Closed-Loop Frameworks Accelerate Computational Materials Discovery?. Digital Discovery (2023)

Lance KavalskyVinay I. HegdeEric MuckleyMatthew S. JohnsonBryce MeredigVenkatasubramanian Viswanathan

materials science

Interpretable Models for Extrapolation in Scientific Machine Learning. Digital Discovery (2023)

Eric S. MuckleyJames E. SaalBryce MeredigChristopher S. RoperJohn H. Martin

computer scienceinterpretable modelsmachine learningscientific machine learning

Quantifying the Performance of Machine Learning Models in Materials Discovery. Digital Discovery (2023)

Christopher K. H. BorgEric S. MuckleyClara NybyJames E. SaalLogan WardApurva MehtaBryce Meredig

materials discoverymaterials sciencemachine learning

Quantifying Uncertainty in High-Throughput Density Functional Theory: A Comparison of Aflow, Materials Project, and Oqmd. Physical Review Materials (2023)

Vinay I. HegdeChristopher K. H. BorgZachary del RosarioYoolhee KimMaxwell HutchinsonErin AntonoJulia LingPaul SaxeJames E. SaalBryce Meredig

material propertiesmaterials projectmaterial researchdensity functional theoryapplied physicscondensed matter physicsmaterials science

AUTOMAT: Automated Materials Discovery for Electrochemical Systems. MRS Bulletin (2022)

Emil AnnevelinkRachel KurchinEric MuckleyLance KavalskyVinay I. HegdeValentin SulzerShang ZhuJiankun PuDavid FarinaMatthew JohnsonDhairya GandhiAdarsh DaveHongyi LinAlan EdelmanBharath RamsundarJames SaalChristopher RackauckasViral ShahBryce MeredigVenkatasubramanian Viswanathan

electrochemical systemsautomated materials discoverymaterials scienceelectrochemistry

Csd 2154401: Experimental Crystal Structure Determination. The Cambridge Structural Database (2022)

Wang, XinmeiQi, LuWu, LeiZhang, RuixinAbudoureheman, MaierhabaLv, JiarongWang, PengDong, XiaoyuJing, QunChen, Zhaohui

crystal structuresinorganic chemistrycrystal researchdeposited datasetstructural chemistrycsd 2154401crystal engineeringcrystallographycrystal growthcrystal structure designstructure determinationstructure elucidationcharacterization (materials science)chemistrycrystal diffraction studychemical structureapplied physicsmaterials science

High-Throughput Characterization of Lu-Doped Zirconia. Solid State Ionics (2021)

Ruiyun HuangErin AntonoBryce MeredigGregory J. MulhollandTimothy C. DavenportSossina M. Haile

high-throughput characterizationceramicslu-doped zirconiamaterials sciencesolid-state chemistry

(Invited) Applying Machine Learning to Electrochemical Materials Design. ECS Meeting Abstracts (2021)

Bryce Meredig

electrochemical engineeringmachine learningelectrochemical materials designmaterials scienceelectrochemistry

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Bryce Meredig

Faculty Adjunct Professor of Materials Science and Engineering

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Materials Science and Engineering

Bryce Meredig is currently serving as a Materials Science And Engineering Faculty Adjunct Professor of Materials Science and Engineering at Northwestern University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bryce Meredig

Northwestern University

Faculty Adjunct Professor of Materials Science and Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multiobjective Closed-Loop Approach Towards Autonomous Discovery of Electrocatalysts for Nitrogen Reduction. Digital Discovery (2024)

Lance KavalskyVinay I. HegdeBryce MeredigVenkatasubramanian Viswanathan

computer scienceelectrochemical engineering

Artificial Intelligence in Materials Education: A Roundtable Discussion. JOM (2023)

Kaitlin TylerEnze ChenBryce MeredigTaylor Sparks

artificial intelligenceroundtable discussionmaterials educationeducation

By How Much Can Closed-Loop Frameworks Accelerate Computational Materials Discovery?. Digital Discovery (2023)

Lance KavalskyVinay I. HegdeEric MuckleyMatthew S. JohnsonBryce MeredigVenkatasubramanian Viswanathan

materials science

Interpretable Models for Extrapolation in Scientific Machine Learning. Digital Discovery (2023)

Eric S. MuckleyJames E. SaalBryce MeredigChristopher S. RoperJohn H. Martin

computer scienceinterpretable modelsmachine learningscientific machine learning

Quantifying the Performance of Machine Learning Models in Materials Discovery. Digital Discovery (2023)

Christopher K. H. BorgEric S. MuckleyClara NybyJames E. SaalLogan WardApurva MehtaBryce Meredig

materials discoverymaterials sciencemachine learning

Quantifying Uncertainty in High-Throughput Density Functional Theory: A Comparison of Aflow, Materials Project, and Oqmd. Physical Review Materials (2023)

Vinay I. HegdeChristopher K. H. BorgZachary del RosarioYoolhee KimMaxwell HutchinsonErin AntonoJulia LingPaul SaxeJames E. SaalBryce Meredig

material propertiesmaterials projectmaterial researchdensity functional theoryapplied physicscondensed matter physicsmaterials science

AUTOMAT: Automated Materials Discovery for Electrochemical Systems. MRS Bulletin (2022)

electrochemical systemsautomated materials discoverymaterials scienceelectrochemistry

Csd 2154401: Experimental Crystal Structure Determination. The Cambridge Structural Database (2022)

Wang, XinmeiQi, LuWu, LeiZhang, RuixinAbudoureheman, MaierhabaLv, JiarongWang, PengDong, XiaoyuJing, QunChen, Zhaohui

High-Throughput Characterization of Lu-Doped Zirconia. Solid State Ionics (2021)

Ruiyun HuangErin AntonoBryce MeredigGregory J. MulhollandTimothy C. DavenportSossina M. Haile

high-throughput characterizationceramicslu-doped zirconiamaterials sciencesolid-state chemistry

(Invited) Applying Machine Learning to Electrochemical Materials Design. ECS Meeting Abstracts (2021)

Bryce Meredig

electrochemical engineeringmachine learningelectrochemical materials designmaterials scienceelectrochemistry

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Similar Faculty Members

Prasanna V. Balachandran

Institution

University of Virginia

engineering

materials design

Taylor D. Sparks

Institution

University of Utah

ceramic

material simulation

Evan J. Reed

Institution

Stanford University

materials science

applied physics

Ankit Agrawal

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computer science

John M. Gregoire

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applied physics

Boris Kozinsky

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Harvard University

scientific computing

computational science

Sagar Kamarthi

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Santanu Chaudhuri

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engineering

material modeling

Elif Ertekin

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University of Illinois Urbana-Champaign

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Kincho Law

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engineering

systems engineering