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Brandon M. Wood
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2020 – today
- 2024
- [c5]Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt:
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations. ICLR 2024 - [c4]Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood:
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR 2024 - [i9]Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood:
FlowMM: Generating Materials with Riemannian Flow Matching. CoRR abs/2406.04713 (2024) - 2023
- [i8]Yi-Lun Liao, Brandon M. Wood, Abhishek Das, Tess E. Smidt:
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations. CoRR abs/2306.12059 (2023) - [i7]Nima Shoghi, Adeesh Kolluru, John R. Kitchin
, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood:
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR abs/2310.16802 (2023) - 2022
- [c3]Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR 2022 - [c2]Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood:
Spherical Channels for Modeling Atomic Interactions. NeurIPS 2022 - [i6]Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR abs/2203.09697 (2022) - [i5]Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo
, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram
, Zachary W. Ulissi, C. Lawrence Zitnick:
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR abs/2206.08917 (2022) - [i4]C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram
, Zachary W. Ulissi, Brandon M. Wood:
Spherical Channels for Modeling Atomic Interactions. CoRR abs/2206.14331 (2022) - [i3]Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi:
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. CoRR abs/2211.16486 (2022) - 2021
- [c1]Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev:
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 2021: 29-40 - 2020
- [i2]C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi:
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR abs/2010.09435 (2020) - [i1]Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi:
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR abs/2010.09990 (2020)
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last updated on 2024-08-08 20:13 CEST by the dblp team
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