activity
20192026
most citedActive Learning A Neural Network Model For Gold Clusters \& Bulk From Sparse First Principles Training Data

30 citations · 99 across the 12 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

physics.comp-ph2020★ 30 cited

Active Learning A Neural Network Model For Gold Clusters \& Bulk From Sparse First Principles Training Data

Troy D Loeffler, Sukriti Manna, Tarak K Patra +3

Small metal clusters are of fundamental scientific interest and of tremendous significance in catalysis. These nanoscale clusters display diverse geometries and structural motifs d…

cs.LG2020

Combinatorial Black-Box Optimization with Expert Advice

Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios +4

We consider the problem of black-box function optimization over the boolean hypercube. Despite the vast literature on black-box function optimization over continuous domains, not m…

cond-mat.soft2020★ 1 cited

Accelerating Copolymer Inverse Design using AI Gaming algorithm

Tarak K Patra, Troy D. Loeffler, Subramanian K R S Sankaranarayanan

There exists a broad class of sequencing problems, for example, in proteins and polymers that can be formulated as a heuristic search algorithm that involve decision making akin to…

cond-mat.mtrl-sci2020★ 4 cited

Machine Learning the Metastable Phase Diagram of Materials

Srilok Srinivasan, Rohit Batra, Duan Luo +8

Phase diagrams are an invaluable tool for material synthesis and provide information on the phases of the material at any given thermodynamic condition. Conventional phase diagram…

cond-mat.mtrl-sci2020★ 17 cited

Ultrafast formation of transient 2D diamond-like structure in twisted bilayer graphene

Duan Luo, Dandan Hui, Bin Wen +17

Due to the absence of matching carbon atoms at honeycomb centers with carbon atoms in adjacent graphene sheets, theorists predicted that a sliding process is needed to form AA, AB,…

cs.CE2020★ 2 cited

BLAST: Bridging Length/time scales via Atomistic Simulation Toolkit

Henry Chan, Badri Narayanan, Mathew Cherukara +4

The ever-increasing power of supercomputers coupled with highly scalable simulation codes have made molecular dynamics an indispensable tool in applications ranging from predictive…