Anand Chandrasekaran - Schrodinger Inc

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论文共 37 篇作者统计合作学者相似作者

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Leveraging High-throughput Molecular Simulations and Machine Learning for the Design of Chemical Mixtures

Alex K. Chew,Mohammad Atif Faiz Afzal,Zachary Kaplan, Eric M. Collins, Suraj Gattani,Mayank Misra,Anand Chandrasekaran,Karl Leswing,Mathew D. Halls

npj Computational Materials（2025）

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Towards MatCore: A Unified Metadata Standard for Materials Science

Jane Greenberg, Pamela Boveda-Aguirre,John Allison,Pietro Asinari, Maria Chan,Anand Chandrasekaran,Elif Ertekin,Emmanouel Garoufallou,Giulia Galli,Paolo Giannozzi,Feliciano Giustino,Gerhard Goldbeck,Hendrik Heinz, Arthi Jayaraman, Vincenzo Lordi,Kristin A. Persson,Gian-Marco Rignanese,Aidan Thompson,Eric Toberer,Scott McClellan,Ellad B. Tadmor

Metadata and Semantics Research Conferencepp.3-14, (2024)

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85‐4: Digital Chemistry, Data Processing, and Collaborative Ideation for Development of OLEDs

Hadi Abroshan,H. Shaun Kwak,Anand Chandrasekaran, Eric Collins,Paul Winget,David J. Giesen,Thomas J. Mustard, Yun Liu,Christopher T. Brown,Mathew D. Halls

SID Symposium Digest of Technical Papersno. 1 (2024): 1187-1190

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Analysis of Advanced Polymer Semiconductor Packaging Materials by Atomic Scale Simulation

Andrea R. Browning,Simon D. Elliott,H. Shaun Kwak,Mohammad Atif Faiz Afzal,Anand Chandrasekaran,Tsuguo Morisato,Alexander Goldberg,Mathew D. Halls

IMAPSource Proceedingsno. DPC (2024)

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Machine Learning Prediction of Antibacterial Activity of Block Copolymers

Varun Kundi, Yimeng Jin,Anand Chandrasekaran, Abhiram Muralidhar, Hassan Masood,Cyrille Boyer,Priyank Kumar

ACS APPLIED NANO MATERIALSno. 8 (2024): 8939-8948

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Machine Learning-Based Design of Pincer Catalysts for Polymerization Reaction

Shrabani Dinda, Tanvi Bhola, Suyash Pant,Anand Chandrasekaran,Alex K. Chew,Mathew D. Halls, Madhavi Sastry

JOURNAL OF CATALYSIS (2024)

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Designing the Next Generation of Polymers with Machine Learning and Physics-Based Models

Alex K. Chew,Mohammad Atif Faiz Afzal,Anand Chandrasekaran,Jan Henk Kamps, Vaidya Ramakrishnan

MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 4 (2024)

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Leveraging High-throughput Molecular Simulations and Machine Learning for Formulation Design

Alex K. Chew,Mohammad Atif Faiz Afzal, Zach Kaplan, Eric M. Collins, Suraj Gattani,Mayank Misra,Anand Chandrasekaran,Karl Leswing,Mathew D. Halls

crossref（2024）

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Advancing Material Property Prediction: Using Physics-Informed Machine Learning Models for Viscosity

Alex K. Chew, Matthew Sender,Zachary Kaplan,Anand Chandrasekaran,Jackson Chief Elk,Andrea R. Browning,H. Shaun Kwak,Mathew D. Halls,Mohammad Atif Faiz Afzal

Journal of Cheminformatics（2024）

引用1浏览0WOSEI引用

Hole Transport Materials for QLEDs: a Combined Approach of Machine Learning and Atomistic Simulation

Hadi Abroshan,H. Shaun Kwak,Anand Chandrasekaran,Alex K. Chew,Alexandr Fonari,Mathew D. Halls

Organic and Hybrid Light Emitting Materials and Devices XXVII (2023)

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