Faculty

Institution

Unit

Venue

Arpan Mukherjee

University at Buffalo

Affiliations

College of Arts and Sciences

Department of Materials Design and Innovation

NoneArpan Mukherjee is currently serving as a College Of Arts And Sciences faculty at University At Buffalo.

Honors

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Experiences

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Education

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Arpan Mukherjee

University at Buffalo

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materials science uncertainty quantification computer science applied physics data science deep learning physical chemistry surface science materials engineering condensed matter physics dynamical systems material chemistry surface analysis structural biology evolutionary computation composite science synchrotron radiation information technology crystal engineering differential evolution endocrine disruptors chemometrics edge detection 3d imaging vacuum device microanalysis gaussian analysis software frameworks reduced objective computations many-objective optimization hirshfeld surface fingerprints perovskite lattice parameters critical structural motifs deep learning model metavalent solids quantum signatures hirshfeld surfaces site chemistry formation energy graph clustering methods harnessing nlp regenerative economy safer chemistry laplacian graph biophysics computational chemistry protein function nature method molecular science molecular computing chemistry wearable electronics molecular design

Notable Scholarly Works

Notable Federal Grants

Collaborators

Exploring Structure–Property Relationships in Sparse Data Environments Using Mixture-Of-Experts Models. MRS Bulletin (2024)

Amith Adoor CheenadyArpan MukherjeeRuhil DongolKrishna Rajan

materials sciencestructure-property relationshipssparse data environmentsmixture-of-experts models

In Situ Synchrotron X‐Ray Metrology Boosted by Automated Data Analysis for Real‐Time Monitoring of Cathode Calcination. Small Methods (2024)

Ruhil DongolArpan MukherjeeJianming BaiHubertus J. J. van DamMatthew R. CarboneE. Frits AbellHui ZhongAkhil TayalLu MaOzgenur KahveciogluKrzysztof Z. PupekDeyu LuKrishna RajanFeng Wang

synchrotron radiationcathode calcinationchemical engineeringmeasurement

Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskite via Language Models. arXiv (Cornell University) (2024)

Mukherjee, ArpanGiri, DeepeshRajan, Krishna

safer solventsuncertainty-informed screeningchemical engineeringlanguage modelsuncertainty quantificationchemical synthesis

Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures. The Journal of Physical Chemistry C (2023)

Logan WilliamsArpan MukherjeeRuhil DongolKrishna Rajan

computational chemistrymaterials sciencemachine learningcondensed matter physicshybrid organic-inorganic perovskitesapplied physicshirshfeld surface representationsphysical chemistry

Informatics Driven Materials Innovation for a Regenerative Economy: Harnessing NLP for Safer Chemistry in Manufacturing of Solar Cells. The minerals, metals & materials series (2022)

Deepesh GiriArpan MukherjeeKrishna Rajan

materials scienceregenerative economytechnologyengineeringinformaticsharnessing nlpmanufacturingsafer chemistry

Uncertainty Informed Screening for Safer Solvents Used in the Synthesis of Perovskite Based Solar Cells via Machine Learning. (2022)

Deepesh GiriArpan MukherjeeKrishna Rajan

safer solventsmaterials sciencecharacterization (materials science)material chemistrychemical engineeringuncertainty analysismachine learninguncertainty quantificationsystems engineeringchemical synthesis

Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors. Journal of Chemical Information and Modeling (2021)

Arpan MukherjeeAn SuKrishna Rajan

deep learningcomputer sciencechemical engineeringstructural biologycritical structural motifschemometricsdeep learning modelendocrine disruptorschemistry

Monitoring the Role of Site Chemistry on the Formation Energy of Perovskites via Deep Learning Analysis of Hirshfeld Surfaces. Journal of Materials Chemistry C (2021)

Logan WilliamsArpan MukherjeeAparajita DasguptaKrishna Rajan

materials sciencedeep learningsite chemistrymaterials engineeringsurface analysishirshfeld surfacesformation energymaterial chemistry

Quantum Signatures for Screening Metavalent Solids. The Journal of Chemical Physics (2021)

Deepesh GiriLogan WilliamsArpan MukherjeeKrishna Rajan

metavalent solidsmaterials sciencephysical chemistryquantum signatures

Deep Learning Based Prediction of Perovskite Lattice Parameters From Hirshfeld Surface Fingerprints. The Journal of Physical Chemistry Letters (2020)

Logan WilliamsArpan MukherjeeKrishna Rajan

materials sciencedeep learningperovskite lattice parameterscomposite sciencematerials engineeringcondensed matter physicshirshfeld surface fingerprintssurface analysismechanical engineeringapplied physicssurface sciencephysical chemistry

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Arpan Mukherjee

University at Buffalo

Affiliations

College of Arts and Sciences

Department of Materials Design and Innovation

NoneArpan Mukherjee is currently serving as a College Of Arts And Sciences faculty 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

Arpan Mukherjee

University at Buffalo

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Exploring Structure–Property Relationships in Sparse Data Environments Using Mixture-Of-Experts Models. MRS Bulletin (2024)

Amith Adoor CheenadyArpan MukherjeeRuhil DongolKrishna Rajan

materials sciencestructure-property relationshipssparse data environmentsmixture-of-experts models

In Situ Synchrotron X‐Ray Metrology Boosted by Automated Data Analysis for Real‐Time Monitoring of Cathode Calcination. Small Methods (2024)

Ruhil DongolArpan MukherjeeJianming BaiHubertus J. J. van DamMatthew R. CarboneE. Frits AbellHui ZhongAkhil TayalLu MaOzgenur KahveciogluKrzysztof Z. PupekDeyu LuKrishna RajanFeng Wang

synchrotron radiationcathode calcinationchemical engineeringmeasurement

Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskite via Language Models. arXiv (Cornell University) (2024)

Mukherjee, ArpanGiri, DeepeshRajan, Krishna

safer solventsuncertainty-informed screeningchemical engineeringlanguage modelsuncertainty quantificationchemical synthesis

Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures. The Journal of Physical Chemistry C (2023)

Logan WilliamsArpan MukherjeeRuhil DongolKrishna Rajan

computational chemistrymaterials sciencemachine learningcondensed matter physicshybrid organic-inorganic perovskitesapplied physicshirshfeld surface representationsphysical chemistry

Informatics Driven Materials Innovation for a Regenerative Economy: Harnessing NLP for Safer Chemistry in Manufacturing of Solar Cells. The minerals, metals & materials series (2022)

Deepesh GiriArpan MukherjeeKrishna Rajan

materials scienceregenerative economytechnologyengineeringinformaticsharnessing nlpmanufacturingsafer chemistry

Uncertainty Informed Screening for Safer Solvents Used in the Synthesis of Perovskite Based Solar Cells via Machine Learning. (2022)

Deepesh GiriArpan MukherjeeKrishna Rajan

Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors. Journal of Chemical Information and Modeling (2021)

Arpan MukherjeeAn SuKrishna Rajan

deep learningcomputer sciencechemical engineeringstructural biologycritical structural motifschemometricsdeep learning modelendocrine disruptorschemistry

Monitoring the Role of Site Chemistry on the Formation Energy of Perovskites via Deep Learning Analysis of Hirshfeld Surfaces. Journal of Materials Chemistry C (2021)

Logan WilliamsArpan MukherjeeAparajita DasguptaKrishna Rajan

materials sciencedeep learningsite chemistrymaterials engineeringsurface analysishirshfeld surfacesformation energymaterial chemistry

Quantum Signatures for Screening Metavalent Solids. The Journal of Chemical Physics (2021)

Deepesh GiriLogan WilliamsArpan MukherjeeKrishna Rajan

metavalent solidsmaterials sciencephysical chemistryquantum signatures

Deep Learning Based Prediction of Perovskite Lattice Parameters From Hirshfeld Surface Fingerprints. The Journal of Physical Chemistry Letters (2020)

Logan WilliamsArpan MukherjeeKrishna Rajan

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Similar Faculty Members

Nick Jackson

Institution

University of Illinois Urbana-Champaign

computational chemistry

computational materials science

Lela Vukovic

Institution

University of Texas at El Paso

nanoparticle

nanotechnology

Sameer Varma

Institution

University of South Florida

theoretical biology

quantum biology

Judy I-Chia Wu

Institution

University of Houston

quantum chemistry

chemistry

Yingkai Zhang

Institution

New York University

molecular informatics

rational modulator design

Andrew Ferguson

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University of Chicago

biophysics

materials science

Ken A. Dill

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Stony Brook University

protein structure

quantum biology

Daniel Zuckerman

Institution

Oregon State University

biosystems

theoretical biology

Wei Zhang

Institution

University of Colorado Boulder

materials science

chemistry

Ravi Radhakrishnan

Institution

University of Pennsylvania

soft matter

biological engineering